diff --git a/Genetic_Algorithm/log.txt b/Genetic_Algorithm/log.txt
index 65da0d9bad97b26c3110a656e699a5f81667db13..fed721271fb967c54bc6d197807e9007a3c9caa5 100755
--- a/Genetic_Algorithm/log.txt
+++ b/Genetic_Algorithm/log.txt
@@ -1,6573 +1,574 @@
-05/03/2018 07:02:48 PM - INFO - ***Evolving 10 generations with population 20***
-05/03/2018 07:02:48 PM - INFO - ***Doing generation 1 of 10***
-05/03/2018 07:04:25 PM - INFO - ***Evolving 10 generations with population 20***
-05/03/2018 07:04:25 PM - INFO - ***Doing generation 1 of 10***
-05/03/2018 07:05:21 PM - INFO - ***Evolving 10 generations with population 20***
-05/03/2018 07:05:21 PM - INFO - ***Doing generation 1 of 10***
-05/03/2018 07:08:40 PM - INFO - ***Evolving 10 generations with population 20***
-05/03/2018 07:08:40 PM - INFO - ***Doing generation 1 of 10***
-05/03/2018 07:08:40 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:08:40 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:08:47 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:08:47 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:08:47 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:08:47 PM - INFO - Creating new RobustScaler
-05/03/2018 07:08:47 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:08:47 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:08:47 PM - INFO - Training and test data transformed
-05/03/2018 07:08:48 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:08:48 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:08:48 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:08:48 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:08:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:08:48 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:08:49 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:08:49 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:08:49 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:08:49 PM - DEBUG - findfont: Matching :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans (u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf') with score of 0.050000
-05/03/2018 07:08:49 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:08:49 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:08:49 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:08:49 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:08:49 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:08:49 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:08:49 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:08:49 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:08:49 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:08:49 PM - INFO - Train model
-05/03/2018 07:08:49 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:17:44 PM - INFO - ***Evolving 10 generations with population 20***
-05/03/2018 07:17:44 PM - INFO - ***Doing generation 1 of 10***
-05/03/2018 07:17:44 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:17:44 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:17:46 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:17:46 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:17:46 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:17:46 PM - INFO - Creating new RobustScaler
-05/03/2018 07:17:46 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:17:46 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:17:46 PM - INFO - Training and test data transformed
-05/03/2018 07:17:46 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:17:46 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:17:46 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:17:46 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:17:46 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:17:46 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:17:46 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:17:46 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:17:46 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:17:46 PM - DEBUG - findfont: Matching :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans (u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf') with score of 0.050000
-05/03/2018 07:17:46 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:17:46 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:17:46 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:17:46 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:17:46 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:17:46 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:17:47 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:17:47 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:17:47 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:17:47 PM - INFO - Train model
-05/03/2018 07:17:47 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:17:47 PM - INFO - KeyError
-05/03/2018 07:17:47 PM - INFO - Using sgd(**{}) as Optimizer
-05/03/2018 07:17:47 PM - INFO - Compile model
-05/03/2018 07:17:47 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:17:47 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:18:24 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:18:28 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:19:58 PM - INFO - ***Evolving 10 generations with population 20***
-05/03/2018 07:19:58 PM - INFO - ***Doing generation 1 of 10***
-05/03/2018 07:19:58 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:19:58 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:20:00 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:20:00 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:20:00 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:20:00 PM - INFO - Creating new RobustScaler
-05/03/2018 07:20:00 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:20:00 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:20:00 PM - INFO - Training and test data transformed
-05/03/2018 07:20:01 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:20:01 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:20:01 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:20:01 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:20:01 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:20:01 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:20:01 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:20:01 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:20:01 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:20:01 PM - DEBUG - findfont: Matching :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans (u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf') with score of 0.050000
-05/03/2018 07:20:01 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:20:01 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:20:01 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:20:01 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:20:01 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:20:01 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:20:01 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:20:01 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:20:01 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:20:01 PM - INFO - Train model
-05/03/2018 07:20:01 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:20:01 PM - INFO - KeyError
-05/03/2018 07:20:01 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:20:01 PM - INFO - Compile model
-05/03/2018 07:20:01 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:20:01 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:20:09 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:20:11 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:21:08 PM - INFO - ***Evolving 10 generations with population 20***
-05/03/2018 07:21:08 PM - INFO - ***Doing generation 1 of 10***
-05/03/2018 07:21:08 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:21:08 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:21:09 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:21:09 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:21:09 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:21:09 PM - INFO - Creating new RobustScaler
-05/03/2018 07:21:09 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:21:09 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:21:09 PM - INFO - Training and test data transformed
-05/03/2018 07:21:10 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:21:10 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:21:10 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:21:10 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:21:10 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:21:10 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:21:10 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:21:11 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:21:11 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:21:11 PM - DEBUG - findfont: Matching :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans (u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf') with score of 0.050000
-05/03/2018 07:21:11 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:21:11 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:21:11 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:21:11 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:21:11 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:21:11 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:21:11 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:21:11 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:21:11 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:21:11 PM - INFO - Train model
-05/03/2018 07:21:11 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:21:11 PM - INFO - KeyError
-05/03/2018 07:21:11 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:21:11 PM - INFO - Compile model
-05/03/2018 07:21:11 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:21:11 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:21:51 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:21:56 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:23:12 PM - INFO - ***Evolving 10 generations with population 20***
-05/03/2018 07:23:12 PM - INFO - ***Doing generation 1 of 10***
-05/03/2018 07:23:12 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:23:12 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:23:13 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:23:13 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:23:13 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:23:13 PM - INFO - Creating new RobustScaler
-05/03/2018 07:23:13 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:23:13 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:23:13 PM - INFO - Training and test data transformed
-05/03/2018 07:23:14 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:23:14 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:23:14 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:23:14 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:23:14 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:23:14 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:23:14 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:23:14 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:23:14 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:23:14 PM - DEBUG - findfont: Matching :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans (u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf') with score of 0.050000
-05/03/2018 07:23:14 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:23:14 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:23:14 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:23:14 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:23:14 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:23:14 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:23:14 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:23:14 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:23:14 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:23:14 PM - INFO - Train model
-05/03/2018 07:23:14 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:23:14 PM - INFO - KeyError
-05/03/2018 07:23:14 PM - INFO - Using adamax(**{}) as Optimizer
-05/03/2018 07:23:14 PM - INFO - Compile model
-05/03/2018 07:23:14 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:23:14 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:23:49 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:23:51 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:23:53 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:23:53 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:23:55 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:23:55 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:23:55 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:23:55 PM - INFO - Creating new RobustScaler
-05/03/2018 07:23:55 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:23:55 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:23:55 PM - INFO - Training and test data transformed
-05/03/2018 07:23:55 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:23:55 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:23:55 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:23:55 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:23:55 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:23:55 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:23:55 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:23:55 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:23:55 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:23:55 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:23:55 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:23:55 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:23:55 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:23:55 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:23:55 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:23:55 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:23:55 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:23:55 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:23:55 PM - INFO - Train model
-05/03/2018 07:23:55 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:23:55 PM - INFO - KeyError
-05/03/2018 07:23:55 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:23:55 PM - INFO - Compile model
-05/03/2018 07:23:55 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:23:55 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:24:01 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:24:02 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:24:03 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:24:03 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:24:04 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:24:04 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:24:04 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:24:04 PM - INFO - Creating new RobustScaler
-05/03/2018 07:24:04 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:24:04 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:24:04 PM - INFO - Training and test data transformed
-05/03/2018 07:24:04 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:24:04 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:24:04 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:24:04 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:24:04 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:24:04 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:24:04 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:24:04 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:24:04 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:24:04 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:24:04 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:24:04 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:24:04 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:24:04 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:24:04 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:24:04 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:24:04 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:24:04 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:24:04 PM - INFO - Train model
-05/03/2018 07:24:04 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:24:04 PM - INFO - KeyError
-05/03/2018 07:24:04 PM - INFO - Using adamax(**{}) as Optimizer
-05/03/2018 07:24:04 PM - INFO - Compile model
-05/03/2018 07:24:04 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:24:04 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:24:09 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:24:10 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:24:11 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:24:11 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:24:12 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:24:12 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:24:12 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:24:12 PM - INFO - Creating new RobustScaler
-05/03/2018 07:24:12 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:24:12 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:24:12 PM - INFO - Training and test data transformed
-05/03/2018 07:24:12 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:24:12 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:24:12 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:24:12 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:24:12 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:24:12 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:24:12 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:24:12 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:24:12 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:24:12 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:24:13 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:24:13 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:24:13 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:24:13 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:24:13 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:24:13 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:24:13 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:24:13 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:24:13 PM - INFO - Train model
-05/03/2018 07:24:13 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:24:13 PM - INFO - KeyError
-05/03/2018 07:24:13 PM - INFO - Using adam(**{}) as Optimizer
-05/03/2018 07:24:13 PM - INFO - Compile model
-05/03/2018 07:24:13 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:24:13 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:24:22 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:24:23 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:24:24 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:24:24 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:24:26 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:24:26 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:24:26 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:24:26 PM - INFO - Creating new RobustScaler
-05/03/2018 07:24:26 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:24:26 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:24:26 PM - INFO - Training and test data transformed
-05/03/2018 07:24:26 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:24:26 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:24:26 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:24:26 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:24:26 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:24:26 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:24:26 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:24:26 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:24:26 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:24:26 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:24:26 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:24:26 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:24:26 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:24:26 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:24:26 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:24:26 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:24:26 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:24:26 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:24:26 PM - INFO - Train model
-05/03/2018 07:24:26 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:24:26 PM - INFO - KeyError
-05/03/2018 07:24:26 PM - INFO - Using sgd(**{}) as Optimizer
-05/03/2018 07:24:26 PM - INFO - Compile model
-05/03/2018 07:24:26 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:24:26 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:24:33 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:24:35 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:24:36 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:24:36 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:24:38 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:24:38 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:24:38 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:24:38 PM - INFO - Creating new RobustScaler
-05/03/2018 07:24:38 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:24:38 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:24:38 PM - INFO - Training and test data transformed
-05/03/2018 07:24:38 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:24:38 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:24:38 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:24:38 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:24:38 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:24:38 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:24:38 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:24:38 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:24:38 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:24:38 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:24:38 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:24:38 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:24:38 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:24:38 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:24:38 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:24:38 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:24:38 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:24:38 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:24:38 PM - INFO - Train model
-05/03/2018 07:24:38 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:24:38 PM - INFO - KeyError
-05/03/2018 07:24:38 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:24:38 PM - INFO - Compile model
-05/03/2018 07:24:38 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:24:38 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:24:44 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:24:45 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:24:46 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:24:46 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:24:47 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:24:47 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:24:47 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:24:47 PM - INFO - Creating new RobustScaler
-05/03/2018 07:24:47 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:24:47 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:24:47 PM - INFO - Training and test data transformed
-05/03/2018 07:24:47 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:24:47 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:24:47 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:24:47 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:24:47 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:24:47 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:24:47 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:24:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:24:48 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:24:48 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:24:48 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:24:48 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:24:48 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:24:48 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:24:48 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:24:48 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:24:48 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:24:48 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:24:48 PM - INFO - Train model
-05/03/2018 07:24:48 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:24:48 PM - INFO - KeyError
-05/03/2018 07:24:48 PM - INFO - Using adadelta(**{}) as Optimizer
-05/03/2018 07:24:48 PM - INFO - Compile model
-05/03/2018 07:24:48 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:24:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:25:25 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:25:28 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:25:29 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:25:29 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:25:31 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:25:31 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:25:31 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:25:31 PM - INFO - Creating new RobustScaler
-05/03/2018 07:25:31 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:25:31 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:25:31 PM - INFO - Training and test data transformed
-05/03/2018 07:25:31 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:25:31 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:25:31 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:25:31 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:25:31 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:25:31 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:25:31 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:25:31 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:25:31 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:25:31 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:25:31 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:25:31 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:25:31 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:25:31 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:25:31 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:25:31 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:25:31 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:25:31 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:25:31 PM - INFO - Train model
-05/03/2018 07:25:31 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:25:31 PM - INFO - KeyError
-05/03/2018 07:25:31 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:25:31 PM - INFO - Compile model
-05/03/2018 07:25:31 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:25:31 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:25:37 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:25:38 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:25:39 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:25:39 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:25:41 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:25:41 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:25:41 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:25:41 PM - INFO - Creating new RobustScaler
-05/03/2018 07:25:41 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:25:41 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:25:41 PM - INFO - Training and test data transformed
-05/03/2018 07:25:41 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:25:41 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:25:41 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:25:41 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:25:41 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:25:41 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:25:41 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:25:41 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:25:41 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:25:41 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:25:41 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:25:41 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:25:41 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:25:41 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:25:41 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:25:41 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:25:41 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:25:41 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:25:41 PM - INFO - Train model
-05/03/2018 07:25:41 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:25:41 PM - INFO - KeyError
-05/03/2018 07:25:41 PM - INFO - Using adam(**{}) as Optimizer
-05/03/2018 07:25:41 PM - INFO - Compile model
-05/03/2018 07:25:41 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:25:41 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:26:38 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:26:43 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:26:46 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:26:46 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:26:47 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:26:47 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:26:47 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:26:47 PM - INFO - Creating new RobustScaler
-05/03/2018 07:26:47 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:26:47 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:26:47 PM - INFO - Training and test data transformed
-05/03/2018 07:26:47 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:26:47 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:26:47 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:26:47 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:26:47 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:26:47 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:26:47 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:26:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:26:48 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:26:48 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:26:48 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:26:48 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:26:48 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:26:48 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:26:48 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:26:48 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:26:48 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:26:48 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:26:48 PM - INFO - Train model
-05/03/2018 07:26:48 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:26:48 PM - INFO - KeyError
-05/03/2018 07:26:48 PM - INFO - Using adamax(**{}) as Optimizer
-05/03/2018 07:26:48 PM - INFO - Compile model
-05/03/2018 07:26:48 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:26:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:26:56 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:26:58 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:26:59 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:26:59 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:27:00 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:27:00 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:27:00 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:27:00 PM - INFO - Creating new RobustScaler
-05/03/2018 07:27:00 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:27:00 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:27:00 PM - INFO - Training and test data transformed
-05/03/2018 07:27:00 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:27:00 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:27:00 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:27:00 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:27:00 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:27:00 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:27:00 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:27:00 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:27:00 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:27:00 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:27:00 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:27:00 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:27:00 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:27:00 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:27:00 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:27:01 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:27:01 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:27:01 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:27:01 PM - INFO - Train model
-05/03/2018 07:27:01 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:27:01 PM - INFO - KeyError
-05/03/2018 07:27:01 PM - INFO - Using adamax(**{}) as Optimizer
-05/03/2018 07:27:01 PM - INFO - Compile model
-05/03/2018 07:27:01 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:27:01 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:27:06 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:27:07 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:27:08 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:27:08 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:27:09 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:27:09 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:27:09 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:27:09 PM - INFO - Creating new RobustScaler
-05/03/2018 07:27:09 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:27:09 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:27:09 PM - INFO - Training and test data transformed
-05/03/2018 07:27:09 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:27:09 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:27:09 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:27:09 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:27:09 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:27:09 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:27:09 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:27:09 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:27:09 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:27:09 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:27:09 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:27:09 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:27:09 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:27:09 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:27:09 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:27:09 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:27:09 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:27:09 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:27:09 PM - INFO - Train model
-05/03/2018 07:27:09 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:27:09 PM - INFO - KeyError
-05/03/2018 07:27:09 PM - INFO - Using adam(**{}) as Optimizer
-05/03/2018 07:27:09 PM - INFO - Compile model
-05/03/2018 07:27:09 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:27:09 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:27:16 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:27:17 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:27:18 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:27:18 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:27:20 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:27:20 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:27:20 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:27:20 PM - INFO - Creating new RobustScaler
-05/03/2018 07:27:20 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:27:20 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:27:20 PM - INFO - Training and test data transformed
-05/03/2018 07:27:20 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:27:20 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:27:20 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:27:20 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:27:20 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:27:20 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:27:20 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:27:20 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:27:20 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:27:20 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:27:20 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:27:20 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:27:20 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:27:20 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:27:20 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:27:20 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:27:20 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:27:20 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:27:20 PM - INFO - Train model
-05/03/2018 07:27:20 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:27:20 PM - INFO - KeyError
-05/03/2018 07:27:20 PM - INFO - Using sgd(**{}) as Optimizer
-05/03/2018 07:27:20 PM - INFO - Compile model
-05/03/2018 07:27:20 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:27:20 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:27:25 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:27:26 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:27:27 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:27:27 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:27:28 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:27:28 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:27:28 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:27:28 PM - INFO - Creating new RobustScaler
-05/03/2018 07:27:28 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:27:28 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:27:28 PM - INFO - Training and test data transformed
-05/03/2018 07:27:28 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:27:28 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:27:28 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:27:28 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:27:28 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:27:28 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:27:28 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:27:29 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:27:29 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:27:29 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:27:29 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:27:29 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:27:29 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:27:29 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:27:29 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:27:29 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:27:29 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:27:29 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:27:29 PM - INFO - Train model
-05/03/2018 07:27:29 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:27:29 PM - INFO - KeyError
-05/03/2018 07:27:29 PM - INFO - Using adam(**{}) as Optimizer
-05/03/2018 07:27:29 PM - INFO - Compile model
-05/03/2018 07:27:29 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:27:29 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:27:42 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:27:44 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:27:45 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:27:45 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:27:46 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:27:46 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:27:46 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:27:46 PM - INFO - Creating new RobustScaler
-05/03/2018 07:27:46 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:27:46 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:27:46 PM - INFO - Training and test data transformed
-05/03/2018 07:27:46 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:27:46 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:27:46 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:27:46 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:27:46 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:27:46 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:27:46 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:27:46 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:27:46 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:27:46 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:27:47 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:27:47 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:27:47 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:27:47 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:27:47 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:27:47 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:27:47 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:27:47 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:27:47 PM - INFO - Train model
-05/03/2018 07:27:47 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:27:47 PM - INFO - KeyError
-05/03/2018 07:27:47 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 07:27:47 PM - INFO - Compile model
-05/03/2018 07:27:47 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:27:47 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:27:52 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:27:53 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:27:54 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:27:54 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:27:55 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:27:55 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:27:55 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:27:55 PM - INFO - Creating new RobustScaler
-05/03/2018 07:27:55 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:27:55 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:27:55 PM - INFO - Training and test data transformed
-05/03/2018 07:27:55 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:27:55 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:27:55 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:27:55 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:27:55 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:27:55 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:27:55 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:27:55 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:27:55 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:27:55 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:27:55 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:27:55 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:27:55 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:27:55 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:27:55 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:27:55 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:27:55 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:27:55 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:27:56 PM - INFO - Train model
-05/03/2018 07:27:56 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:27:56 PM - INFO - KeyError
-05/03/2018 07:27:56 PM - INFO - Using adamax(**{}) as Optimizer
-05/03/2018 07:27:56 PM - INFO - Compile model
-05/03/2018 07:27:56 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:27:56 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:28:03 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:28:05 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:28:06 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:28:06 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:28:07 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:28:07 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:28:07 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:28:07 PM - INFO - Creating new RobustScaler
-05/03/2018 07:28:07 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:28:07 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:28:07 PM - INFO - Training and test data transformed
-05/03/2018 07:28:07 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:28:07 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:28:07 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:28:07 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:28:07 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:28:07 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:28:07 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:28:07 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:28:07 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:28:07 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:28:07 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:28:07 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:28:08 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:28:08 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:28:08 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:28:08 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:28:08 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:28:08 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:28:08 PM - INFO - Train model
-05/03/2018 07:28:08 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:28:08 PM - INFO - KeyError
-05/03/2018 07:28:08 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:28:08 PM - INFO - Compile model
-05/03/2018 07:28:08 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:28:08 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:29:34 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:29:42 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:29:46 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:29:46 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:29:47 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:29:47 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:29:47 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:29:47 PM - INFO - Creating new RobustScaler
-05/03/2018 07:29:47 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:29:47 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:29:47 PM - INFO - Training and test data transformed
-05/03/2018 07:29:47 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:29:47 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:29:47 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:29:47 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:29:47 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:29:47 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:29:47 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:29:47 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:29:47 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:29:47 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:29:47 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:29:47 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:29:47 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:29:47 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:29:47 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:29:47 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:29:47 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:29:47 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:29:47 PM - INFO - Train model
-05/03/2018 07:29:47 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:29:47 PM - INFO - KeyError
-05/03/2018 07:29:48 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:29:48 PM - INFO - Compile model
-05/03/2018 07:29:48 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:29:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:29:55 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:29:56 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:29:57 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:29:57 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:29:59 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:29:59 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:29:59 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:29:59 PM - INFO - Creating new RobustScaler
-05/03/2018 07:29:59 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:29:59 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:29:59 PM - INFO - Training and test data transformed
-05/03/2018 07:29:59 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:29:59 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:29:59 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:29:59 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:29:59 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:29:59 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:29:59 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:29:59 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:29:59 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:29:59 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:29:59 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:29:59 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:29:59 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:29:59 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:29:59 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:29:59 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:29:59 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:29:59 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:29:59 PM - INFO - Train model
-05/03/2018 07:29:59 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:29:59 PM - INFO - KeyError
-05/03/2018 07:29:59 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:29:59 PM - INFO - Compile model
-05/03/2018 07:29:59 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:29:59 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:30:06 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:30:08 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:30:09 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:30:09 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:30:10 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:30:10 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:30:10 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:30:10 PM - INFO - Creating new RobustScaler
-05/03/2018 07:30:10 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:30:10 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:30:10 PM - INFO - Training and test data transformed
-05/03/2018 07:30:10 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:30:10 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:30:10 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:30:10 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:30:10 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:30:10 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:30:10 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:30:10 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:30:10 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:30:10 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:30:10 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:30:10 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:30:11 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:30:11 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:30:11 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:30:11 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:30:11 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:30:11 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:30:11 PM - INFO - Train model
-05/03/2018 07:30:11 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:30:11 PM - INFO - KeyError
-05/03/2018 07:30:11 PM - INFO - Using sgd(**{}) as Optimizer
-05/03/2018 07:30:11 PM - INFO - Compile model
-05/03/2018 07:30:11 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:30:11 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:30:31 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:30:34 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:30:36 PM - INFO - Generation average: 88.28%
-05/03/2018 07:30:36 PM - INFO - --------------------------------------------------------------------------------
-05/03/2018 07:30:36 PM - INFO - ***Doing generation 2 of 10***
-05/03/2018 07:30:36 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:30:36 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:30:37 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:30:37 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:30:37 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:30:37 PM - INFO - Creating new RobustScaler
-05/03/2018 07:30:37 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:30:37 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:30:37 PM - INFO - Training and test data transformed
-05/03/2018 07:30:37 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:30:37 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:30:37 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:30:37 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:30:37 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:30:37 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:30:37 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:30:37 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:30:37 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:30:37 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:30:37 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:30:37 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:30:37 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:30:37 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:30:37 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:30:37 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:30:37 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:30:37 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:30:37 PM - INFO - Train model
-05/03/2018 07:30:37 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:30:37 PM - INFO - KeyError
-05/03/2018 07:30:38 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:30:38 PM - INFO - Compile model
-05/03/2018 07:30:38 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:30:38 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:30:55 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:30:58 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:31:00 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:31:00 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:31:01 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:31:01 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:31:01 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:31:01 PM - INFO - Creating new RobustScaler
-05/03/2018 07:31:01 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:31:01 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:31:01 PM - INFO - Training and test data transformed
-05/03/2018 07:31:01 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:31:01 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:31:01 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:31:01 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:31:01 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:31:02 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:31:02 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:31:02 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:31:02 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:31:02 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:31:02 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:31:02 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:31:02 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:31:02 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:31:02 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:31:02 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:31:02 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:31:02 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:31:02 PM - INFO - Train model
-05/03/2018 07:31:02 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:31:02 PM - INFO - KeyError
-05/03/2018 07:31:02 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:31:02 PM - INFO - Compile model
-05/03/2018 07:31:02 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:31:02 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:31:08 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:31:10 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:31:11 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:31:11 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:31:12 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:31:12 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:31:12 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:31:12 PM - INFO - Creating new RobustScaler
-05/03/2018 07:31:12 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:31:12 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:31:12 PM - INFO - Training and test data transformed
-05/03/2018 07:31:12 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:31:12 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:31:12 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:31:12 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:31:12 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:31:12 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:31:12 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:31:12 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:31:12 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:31:12 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:31:12 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:31:12 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:31:13 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:31:13 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:31:13 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:31:13 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:31:13 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:31:13 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:31:13 PM - INFO - Train model
-05/03/2018 07:31:13 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:31:13 PM - INFO - KeyError
-05/03/2018 07:31:13 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:31:13 PM - INFO - Compile model
-05/03/2018 07:31:13 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:31:13 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:31:19 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:31:20 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:31:21 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:31:21 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:31:22 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:31:22 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:31:22 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:31:22 PM - INFO - Creating new RobustScaler
-05/03/2018 07:31:22 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:31:22 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:31:22 PM - INFO - Training and test data transformed
-05/03/2018 07:31:23 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:31:23 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:31:23 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:31:23 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:31:23 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:31:23 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:31:23 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:31:23 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:31:23 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:31:23 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:31:23 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:31:23 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:31:23 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:31:23 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:31:23 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:31:23 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:31:23 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:31:23 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:31:23 PM - INFO - Train model
-05/03/2018 07:31:23 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:31:23 PM - INFO - KeyError
-05/03/2018 07:31:23 PM - INFO - Using adamax(**{}) as Optimizer
-05/03/2018 07:31:23 PM - INFO - Compile model
-05/03/2018 07:31:23 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:31:23 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:31:27 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:31:29 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:31:30 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:31:30 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:31:31 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:31:31 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:31:31 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:31:31 PM - INFO - Creating new RobustScaler
-05/03/2018 07:31:31 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:31:31 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:31:31 PM - INFO - Training and test data transformed
-05/03/2018 07:31:31 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:31:31 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:31:31 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:31:31 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:31:32 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:31:32 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:31:32 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:31:32 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:31:32 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:31:32 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:31:32 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:31:32 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:31:32 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:31:32 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:31:32 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:31:32 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:31:32 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:31:32 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:31:32 PM - INFO - Train model
-05/03/2018 07:31:32 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:31:32 PM - INFO - KeyError
-05/03/2018 07:31:32 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:31:32 PM - INFO - Compile model
-05/03/2018 07:31:32 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:31:32 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:31:48 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:31:50 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:31:52 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:31:52 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:31:53 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:31:53 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:31:53 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:31:53 PM - INFO - Creating new RobustScaler
-05/03/2018 07:31:53 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:31:53 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:31:53 PM - INFO - Training and test data transformed
-05/03/2018 07:31:53 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:31:53 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:31:53 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:31:53 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:31:53 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:31:53 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:31:53 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:31:53 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:31:53 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:31:53 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:31:53 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:31:53 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:31:54 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:31:54 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:31:54 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:31:54 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:31:54 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:31:54 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:31:54 PM - INFO - Train model
-05/03/2018 07:31:54 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:31:54 PM - INFO - KeyError
-05/03/2018 07:31:54 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:31:54 PM - INFO - Compile model
-05/03/2018 07:31:54 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:31:54 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:32:06 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:32:08 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:32:09 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:32:09 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:32:10 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:32:10 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:32:10 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:32:10 PM - INFO - Creating new RobustScaler
-05/03/2018 07:32:10 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:32:10 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:32:10 PM - INFO - Training and test data transformed
-05/03/2018 07:32:10 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:32:10 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:32:10 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:32:10 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:32:10 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:32:10 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:32:10 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:32:10 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:32:10 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:32:10 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:32:10 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:32:10 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:32:10 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:32:10 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:32:10 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:32:10 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:32:11 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:32:11 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:32:11 PM - INFO - Train model
-05/03/2018 07:32:11 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:32:11 PM - INFO - KeyError
-05/03/2018 07:32:11 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:32:11 PM - INFO - Compile model
-05/03/2018 07:32:11 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:32:11 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:32:16 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:32:17 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:32:18 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:32:18 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:32:19 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:32:19 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:32:19 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:32:19 PM - INFO - Creating new RobustScaler
-05/03/2018 07:32:19 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:32:20 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:32:20 PM - INFO - Training and test data transformed
-05/03/2018 07:32:20 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:32:20 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:32:20 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:32:20 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:32:20 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:32:20 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:32:20 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:32:20 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:32:20 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:32:20 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:32:20 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:32:20 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:32:20 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:32:20 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:32:20 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:32:20 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:32:20 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:32:20 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:32:20 PM - INFO - Train model
-05/03/2018 07:32:20 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:32:20 PM - INFO - KeyError
-05/03/2018 07:32:20 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:32:20 PM - INFO - Compile model
-05/03/2018 07:32:20 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:32:20 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:32:28 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:32:30 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:32:32 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:32:32 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:32:33 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:32:33 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:32:33 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:32:33 PM - INFO - Creating new RobustScaler
-05/03/2018 07:32:33 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:32:33 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:32:33 PM - INFO - Training and test data transformed
-05/03/2018 07:32:33 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:32:33 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:32:33 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:32:33 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:32:33 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:32:33 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:32:33 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:32:33 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:32:33 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:32:33 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:32:33 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:32:33 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:32:33 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:32:33 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:32:33 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:32:33 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:32:33 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:32:33 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:32:33 PM - INFO - Train model
-05/03/2018 07:32:34 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:32:34 PM - INFO - KeyError
-05/03/2018 07:32:34 PM - INFO - Using adam(**{}) as Optimizer
-05/03/2018 07:32:34 PM - INFO - Compile model
-05/03/2018 07:32:34 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:32:34 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:32:40 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:32:42 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:32:43 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:32:43 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:32:44 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:32:44 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:32:44 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:32:44 PM - INFO - Creating new RobustScaler
-05/03/2018 07:32:44 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:32:44 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:32:44 PM - INFO - Training and test data transformed
-05/03/2018 07:32:44 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:32:44 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:32:44 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:32:44 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:32:44 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:32:44 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:32:45 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:32:45 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:32:45 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:32:45 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:32:45 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:32:45 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:32:45 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:32:45 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:32:45 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:32:45 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:32:45 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:32:45 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:32:45 PM - INFO - Train model
-05/03/2018 07:32:45 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:32:45 PM - INFO - KeyError
-05/03/2018 07:32:45 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 07:32:45 PM - INFO - Compile model
-05/03/2018 07:32:45 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:32:45 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:32:50 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:32:52 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:32:53 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:32:53 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:32:54 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:32:54 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:32:54 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:32:54 PM - INFO - Creating new RobustScaler
-05/03/2018 07:32:54 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:32:54 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:32:54 PM - INFO - Training and test data transformed
-05/03/2018 07:32:54 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:32:54 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:32:54 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:32:54 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:32:54 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:32:54 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:32:54 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:32:54 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:32:54 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:32:55 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:32:55 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:32:55 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:32:55 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:32:55 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:32:55 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:32:55 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:32:55 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:32:55 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:32:55 PM - INFO - Train model
-05/03/2018 07:32:55 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:32:55 PM - INFO - KeyError
-05/03/2018 07:32:55 PM - INFO - Using adam(**{}) as Optimizer
-05/03/2018 07:32:55 PM - INFO - Compile model
-05/03/2018 07:32:55 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:32:55 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:33:26 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:33:29 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:33:31 PM - INFO - Generation average: 96.58%
-05/03/2018 07:33:31 PM - INFO - --------------------------------------------------------------------------------
-05/03/2018 07:33:31 PM - INFO - ***Doing generation 3 of 10***
-05/03/2018 07:33:31 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:33:31 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:33:33 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:33:33 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:33:33 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:33:33 PM - INFO - Creating new RobustScaler
-05/03/2018 07:33:33 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:33:33 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:33:33 PM - INFO - Training and test data transformed
-05/03/2018 07:33:33 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:33:33 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:33:33 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:33:33 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:33:33 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:33:33 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:33:33 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:33:33 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:33:33 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:33:33 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:33:33 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:33:33 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:33:33 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:33:33 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:33:33 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:33:33 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:33:33 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:33:33 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:33:33 PM - INFO - Train model
-05/03/2018 07:33:33 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:33:33 PM - INFO - KeyError
-05/03/2018 07:33:33 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 07:33:33 PM - INFO - Compile model
-05/03/2018 07:33:33 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:33:33 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:33:36 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:33:38 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:33:39 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:33:39 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:33:41 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:33:41 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:33:41 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:33:41 PM - INFO - Creating new RobustScaler
-05/03/2018 07:33:41 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:33:41 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:33:41 PM - INFO - Training and test data transformed
-05/03/2018 07:33:41 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:33:41 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:33:41 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:33:41 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:33:41 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:33:41 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:33:41 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:33:41 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:33:41 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:33:41 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:33:41 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:33:41 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:33:41 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:33:41 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:33:41 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:33:41 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:33:41 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:33:41 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:33:41 PM - INFO - Train model
-05/03/2018 07:33:41 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:33:41 PM - INFO - KeyError
-05/03/2018 07:33:41 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:33:41 PM - INFO - Compile model
-05/03/2018 07:33:41 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:33:41 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:33:46 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:33:48 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:33:49 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:33:49 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:33:51 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:33:51 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:33:51 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:33:51 PM - INFO - Creating new RobustScaler
-05/03/2018 07:33:51 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:33:51 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:33:51 PM - INFO - Training and test data transformed
-05/03/2018 07:33:51 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:33:51 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:33:51 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:33:51 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:33:51 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:33:51 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:33:51 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:33:51 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:33:51 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:33:51 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:33:51 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:33:51 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:33:51 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:33:51 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:33:51 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:33:51 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:33:51 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:33:51 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:33:51 PM - INFO - Train model
-05/03/2018 07:33:51 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:33:51 PM - INFO - KeyError
-05/03/2018 07:33:51 PM - INFO - Using adamax(**{}) as Optimizer
-05/03/2018 07:33:51 PM - INFO - Compile model
-05/03/2018 07:33:51 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:33:51 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:33:59 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:34:01 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:34:02 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:34:02 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:34:03 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:34:03 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:34:03 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:34:03 PM - INFO - Creating new RobustScaler
-05/03/2018 07:34:03 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:34:03 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:34:03 PM - INFO - Training and test data transformed
-05/03/2018 07:34:03 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:34:03 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:34:03 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:34:03 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:34:03 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:34:03 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:34:03 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:34:03 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:34:03 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:34:03 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:34:03 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:34:03 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:34:04 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:34:04 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:34:04 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:34:04 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:34:04 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:34:04 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:34:04 PM - INFO - Train model
-05/03/2018 07:34:04 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:34:04 PM - INFO - KeyError
-05/03/2018 07:34:04 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:34:04 PM - INFO - Compile model
-05/03/2018 07:34:04 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:34:04 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:34:09 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:34:11 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:34:12 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:34:12 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:34:13 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:34:13 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:34:13 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:34:13 PM - INFO - Creating new RobustScaler
-05/03/2018 07:34:13 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:34:13 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:34:13 PM - INFO - Training and test data transformed
-05/03/2018 07:34:13 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:34:13 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:34:13 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:34:13 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:34:13 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:34:13 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:34:13 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:34:13 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:34:13 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:34:13 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:34:13 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:34:13 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:34:13 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:34:13 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:34:13 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:34:13 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:34:13 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:34:13 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:34:14 PM - INFO - Train model
-05/03/2018 07:34:14 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:34:14 PM - INFO - KeyError
-05/03/2018 07:34:14 PM - INFO - Using adam(**{}) as Optimizer
-05/03/2018 07:34:14 PM - INFO - Compile model
-05/03/2018 07:34:14 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:34:14 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:34:26 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:34:28 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:34:30 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:34:30 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:34:31 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:34:31 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:34:31 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:34:31 PM - INFO - Creating new RobustScaler
-05/03/2018 07:34:31 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:34:31 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:34:31 PM - INFO - Training and test data transformed
-05/03/2018 07:34:31 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:34:31 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:34:31 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:34:31 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:34:31 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:34:31 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:34:31 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:34:32 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:34:32 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:34:32 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:34:32 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:34:32 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:34:32 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:34:32 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:34:32 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:34:32 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:34:32 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:34:32 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:34:32 PM - INFO - Train model
-05/03/2018 07:34:32 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:34:32 PM - INFO - KeyError
-05/03/2018 07:34:32 PM - INFO - Using adamax(**{}) as Optimizer
-05/03/2018 07:34:32 PM - INFO - Compile model
-05/03/2018 07:34:32 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:34:32 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:34:39 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:34:41 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:34:42 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:34:42 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:34:44 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:34:44 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:34:44 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:34:44 PM - INFO - Creating new RobustScaler
-05/03/2018 07:34:44 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:34:44 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:34:44 PM - INFO - Training and test data transformed
-05/03/2018 07:34:44 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:34:44 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:34:44 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:34:44 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:34:44 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:34:44 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:34:44 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:34:44 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:34:44 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:34:44 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:34:44 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:34:44 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:34:44 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:34:44 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:34:44 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:34:44 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:34:44 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:34:44 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:34:44 PM - INFO - Train model
-05/03/2018 07:34:44 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:34:44 PM - INFO - KeyError
-05/03/2018 07:34:44 PM - INFO - Using adam(**{}) as Optimizer
-05/03/2018 07:34:44 PM - INFO - Compile model
-05/03/2018 07:34:44 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:34:44 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:34:56 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:34:58 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:34:59 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:34:59 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:35:00 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:35:00 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:35:00 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:35:00 PM - INFO - Creating new RobustScaler
-05/03/2018 07:35:00 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:35:00 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:35:00 PM - INFO - Training and test data transformed
-05/03/2018 07:35:00 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:35:00 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:35:00 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:35:00 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:35:01 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:35:01 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:35:01 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:35:01 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:35:01 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:35:01 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:35:01 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:35:01 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:35:01 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:35:01 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:35:01 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:35:01 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:35:01 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:35:01 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:35:01 PM - INFO - Train model
-05/03/2018 07:35:01 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:35:01 PM - INFO - KeyError
-05/03/2018 07:35:01 PM - INFO - Using adam(**{}) as Optimizer
-05/03/2018 07:35:01 PM - INFO - Compile model
-05/03/2018 07:35:01 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:35:01 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:35:12 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:35:14 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:35:16 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:35:16 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:35:17 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:35:17 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:35:17 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:35:17 PM - INFO - Creating new RobustScaler
-05/03/2018 07:35:17 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:35:17 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:35:17 PM - INFO - Training and test data transformed
-05/03/2018 07:35:17 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:35:17 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:35:17 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:35:17 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:35:17 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:35:17 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:35:17 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:35:17 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:35:17 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:35:17 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:35:17 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:35:17 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:35:17 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:35:17 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:35:17 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:35:18 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:35:18 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:35:18 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:35:18 PM - INFO - Train model
-05/03/2018 07:35:18 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:35:18 PM - INFO - KeyError
-05/03/2018 07:35:18 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:35:18 PM - INFO - Compile model
-05/03/2018 07:35:18 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:35:18 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:35:24 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:35:26 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:35:27 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:35:27 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:35:28 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:35:28 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:35:28 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:35:28 PM - INFO - Creating new RobustScaler
-05/03/2018 07:35:28 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:35:28 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:35:28 PM - INFO - Training and test data transformed
-05/03/2018 07:35:28 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:35:28 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:35:28 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:35:28 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:35:28 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:35:28 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:35:28 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:35:28 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:35:28 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:35:29 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:35:29 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:35:29 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:35:29 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:35:29 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:35:29 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:35:29 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:35:29 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:35:29 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:35:29 PM - INFO - Train model
-05/03/2018 07:35:29 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:35:29 PM - INFO - KeyError
-05/03/2018 07:35:29 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:35:29 PM - INFO - Compile model
-05/03/2018 07:35:29 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:35:29 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:35:36 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:35:38 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:35:39 PM - INFO - Generation average: 96.85%
-05/03/2018 07:35:39 PM - INFO - --------------------------------------------------------------------------------
-05/03/2018 07:35:39 PM - INFO - ***Doing generation 4 of 10***
-05/03/2018 07:35:39 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:35:39 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:35:40 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:35:40 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:35:40 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:35:40 PM - INFO - Creating new RobustScaler
-05/03/2018 07:35:40 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:35:40 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:35:40 PM - INFO - Training and test data transformed
-05/03/2018 07:35:40 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:35:40 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:35:40 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:35:40 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:35:40 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:35:40 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:35:40 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:35:40 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:35:40 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:35:40 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:35:40 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:35:40 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:35:40 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:35:40 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:35:40 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:35:41 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:35:41 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:35:41 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:35:41 PM - INFO - Train model
-05/03/2018 07:35:41 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:35:41 PM - INFO - KeyError
-05/03/2018 07:35:41 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:35:41 PM - INFO - Compile model
-05/03/2018 07:35:41 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:35:41 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:35:48 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:35:50 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:35:51 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:35:51 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:35:52 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:35:52 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:35:52 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:35:52 PM - INFO - Creating new RobustScaler
-05/03/2018 07:35:52 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:35:52 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:35:52 PM - INFO - Training and test data transformed
-05/03/2018 07:35:52 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:35:52 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:35:52 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:35:52 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:35:52 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:35:52 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:35:52 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:35:53 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:35:53 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:35:53 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:35:53 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:35:53 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:35:53 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:35:53 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:35:53 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:35:53 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:35:53 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:35:53 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:35:53 PM - INFO - Train model
-05/03/2018 07:35:53 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:35:53 PM - INFO - KeyError
-05/03/2018 07:35:53 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:35:53 PM - INFO - Compile model
-05/03/2018 07:35:53 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:35:53 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:36:03 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:36:06 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:36:07 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:36:07 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:36:09 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:36:09 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:36:09 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:36:09 PM - INFO - Creating new RobustScaler
-05/03/2018 07:36:09 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:36:09 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:36:09 PM - INFO - Training and test data transformed
-05/03/2018 07:36:09 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:36:09 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:36:09 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:36:09 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:36:09 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:36:09 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:36:09 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:36:09 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:36:09 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:36:09 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:36:09 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:36:09 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:36:09 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:36:09 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:36:09 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:36:09 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:36:09 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:36:09 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:36:09 PM - INFO - Train model
-05/03/2018 07:36:09 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:36:09 PM - INFO - KeyError
-05/03/2018 07:36:09 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:36:09 PM - INFO - Compile model
-05/03/2018 07:36:09 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:36:09 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:36:49 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:36:55 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:36:59 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:36:59 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:37:00 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:37:00 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:37:00 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:37:00 PM - INFO - Creating new RobustScaler
-05/03/2018 07:37:00 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:37:00 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:37:00 PM - INFO - Training and test data transformed
-05/03/2018 07:37:00 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:37:00 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:37:00 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:37:00 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:37:00 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:37:00 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:37:00 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:37:00 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:37:00 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:37:00 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:37:00 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:37:00 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:37:00 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:37:00 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:37:00 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:37:00 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:37:00 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:37:00 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:37:01 PM - INFO - Train model
-05/03/2018 07:37:01 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:37:01 PM - INFO - KeyError
-05/03/2018 07:37:01 PM - INFO - Using adam(**{}) as Optimizer
-05/03/2018 07:37:01 PM - INFO - Compile model
-05/03/2018 07:37:01 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:37:01 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:37:51 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:37:57 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:38:01 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:38:01 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:38:02 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:38:02 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:38:02 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:38:02 PM - INFO - Creating new RobustScaler
-05/03/2018 07:38:02 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:38:02 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:38:02 PM - INFO - Training and test data transformed
-05/03/2018 07:38:02 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:38:02 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:38:02 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:38:02 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:38:03 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:38:03 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:38:03 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:38:03 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:38:03 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:38:03 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:38:03 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:38:03 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:38:03 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:38:03 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:38:03 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:38:03 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:38:03 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:38:03 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:38:03 PM - INFO - Train model
-05/03/2018 07:38:03 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:38:03 PM - INFO - KeyError
-05/03/2018 07:38:03 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:38:03 PM - INFO - Compile model
-05/03/2018 07:38:03 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:38:03 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:38:11 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:38:14 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:38:15 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:38:15 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:38:16 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:38:16 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:38:16 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:38:16 PM - INFO - Creating new RobustScaler
-05/03/2018 07:38:16 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:38:16 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:38:16 PM - INFO - Training and test data transformed
-05/03/2018 07:38:17 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:38:17 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:38:17 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:38:17 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:38:17 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:38:17 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:38:17 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:38:17 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:38:17 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:38:17 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:38:17 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:38:17 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:38:17 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:38:17 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:38:17 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:38:17 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:38:17 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:38:17 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:38:17 PM - INFO - Train model
-05/03/2018 07:38:17 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:38:17 PM - INFO - KeyError
-05/03/2018 07:38:17 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:38:17 PM - INFO - Compile model
-05/03/2018 07:38:17 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:38:17 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:38:25 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:38:28 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:38:29 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:38:29 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:38:31 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:38:31 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:38:31 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:38:31 PM - INFO - Creating new RobustScaler
-05/03/2018 07:38:31 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:38:31 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:38:31 PM - INFO - Training and test data transformed
-05/03/2018 07:38:31 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:38:31 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:38:31 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:38:31 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:38:31 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:38:31 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:38:31 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:38:31 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:38:31 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:38:31 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:38:31 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:38:31 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:38:31 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:38:31 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:38:31 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:38:31 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:38:31 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:38:31 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:38:31 PM - INFO - Train model
-05/03/2018 07:38:31 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:38:31 PM - INFO - KeyError
-05/03/2018 07:38:31 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:38:31 PM - INFO - Compile model
-05/03/2018 07:38:31 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:38:31 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:40:43 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:40:52 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:40:57 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:40:57 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:40:58 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:40:58 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:40:58 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:40:58 PM - INFO - Creating new RobustScaler
-05/03/2018 07:40:58 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:40:58 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:40:58 PM - INFO - Training and test data transformed
-05/03/2018 07:40:58 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:40:58 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:40:58 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:40:58 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:40:59 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:40:59 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:40:59 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:40:59 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:40:59 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:40:59 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:40:59 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:40:59 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:40:59 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:40:59 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:40:59 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:40:59 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:40:59 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:40:59 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:40:59 PM - INFO - Train model
-05/03/2018 07:40:59 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:40:59 PM - INFO - KeyError
-05/03/2018 07:40:59 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:40:59 PM - INFO - Compile model
-05/03/2018 07:40:59 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:40:59 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:41:07 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:41:09 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:41:10 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:41:10 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:41:12 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:41:12 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:41:12 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:41:12 PM - INFO - Creating new RobustScaler
-05/03/2018 07:41:12 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:41:12 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:41:12 PM - INFO - Training and test data transformed
-05/03/2018 07:41:12 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:41:12 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:41:12 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:41:12 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:41:12 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:41:12 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:41:12 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:41:12 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:41:12 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:41:12 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:41:12 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:41:12 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:41:12 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:41:12 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:41:12 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:41:12 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:41:12 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:41:12 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:41:12 PM - INFO - Train model
-05/03/2018 07:41:12 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:41:12 PM - INFO - KeyError
-05/03/2018 07:41:12 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:41:12 PM - INFO - Compile model
-05/03/2018 07:41:12 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:41:12 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:41:38 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:41:42 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:41:44 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:41:44 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:41:46 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:41:46 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:41:46 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:41:46 PM - INFO - Creating new RobustScaler
-05/03/2018 07:41:46 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:41:46 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:41:46 PM - INFO - Training and test data transformed
-05/03/2018 07:41:46 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:41:46 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:41:46 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:41:46 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:41:46 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:41:46 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:41:46 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:41:46 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:41:46 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:41:46 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:41:46 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:41:46 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:41:46 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:41:46 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:41:46 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:41:46 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:41:46 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:41:46 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:41:46 PM - INFO - Train model
-05/03/2018 07:41:46 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:41:46 PM - INFO - KeyError
-05/03/2018 07:41:46 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:41:46 PM - INFO - Compile model
-05/03/2018 07:41:46 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:41:46 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:41:53 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:41:56 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:41:57 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:41:57 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:41:58 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:41:58 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:41:58 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:41:58 PM - INFO - Creating new RobustScaler
-05/03/2018 07:41:58 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:41:58 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:41:58 PM - INFO - Training and test data transformed
-05/03/2018 07:41:58 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:41:58 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:41:58 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:41:58 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:41:59 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:41:59 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:41:59 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:41:59 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:41:59 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:41:59 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:41:59 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:41:59 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:41:59 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:41:59 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:41:59 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:41:59 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:41:59 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:41:59 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:41:59 PM - INFO - Train model
-05/03/2018 07:41:59 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:41:59 PM - INFO - KeyError
-05/03/2018 07:41:59 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:41:59 PM - INFO - Compile model
-05/03/2018 07:41:59 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:41:59 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:42:06 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:42:09 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:42:10 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:42:10 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:42:11 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:42:11 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:42:11 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:42:11 PM - INFO - Creating new RobustScaler
-05/03/2018 07:42:11 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:42:11 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:42:11 PM - INFO - Training and test data transformed
-05/03/2018 07:42:11 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:42:11 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:42:11 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:42:11 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:42:12 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:42:12 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:42:12 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:42:12 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:42:12 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:42:12 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:42:12 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:42:12 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:42:12 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:42:12 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:42:12 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:42:12 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:42:12 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:42:12 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:42:12 PM - INFO - Train model
-05/03/2018 07:42:12 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:42:12 PM - INFO - KeyError
-05/03/2018 07:42:12 PM - INFO - Using adam(**{}) as Optimizer
-05/03/2018 07:42:12 PM - INFO - Compile model
-05/03/2018 07:42:12 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:42:12 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:44:32 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:44:44 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:44:50 PM - INFO - Generation average: 96.95%
-05/03/2018 07:44:50 PM - INFO - --------------------------------------------------------------------------------
-05/03/2018 07:44:50 PM - INFO - ***Doing generation 5 of 10***
-05/03/2018 07:44:50 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:44:50 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:44:51 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:44:51 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:44:51 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:44:51 PM - INFO - Creating new RobustScaler
-05/03/2018 07:44:51 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:44:51 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:44:51 PM - INFO - Training and test data transformed
-05/03/2018 07:44:51 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:44:51 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:44:51 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:44:51 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:44:51 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:44:51 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:44:51 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:44:51 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:44:51 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:44:51 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:44:51 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:44:51 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:44:52 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:44:52 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:44:52 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:44:52 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:44:52 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:44:52 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:44:52 PM - INFO - Train model
-05/03/2018 07:44:52 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:44:52 PM - INFO - KeyError
-05/03/2018 07:44:52 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:44:52 PM - INFO - Compile model
-05/03/2018 07:44:52 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:44:52 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:44:59 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:45:02 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:45:03 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:45:03 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:45:05 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:45:05 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:45:05 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:45:05 PM - INFO - Creating new RobustScaler
-05/03/2018 07:45:05 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:45:05 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:45:05 PM - INFO - Training and test data transformed
-05/03/2018 07:45:05 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:45:05 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:45:05 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:45:05 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:45:05 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:45:05 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:45:05 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:45:05 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:45:05 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:45:05 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:45:05 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:45:05 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:45:05 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:45:05 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:45:05 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:45:05 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:45:05 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:45:05 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:45:05 PM - INFO - Train model
-05/03/2018 07:45:05 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:45:05 PM - INFO - KeyError
-05/03/2018 07:45:05 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:45:05 PM - INFO - Compile model
-05/03/2018 07:45:05 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:45:05 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:45:13 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:45:15 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:45:17 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:45:17 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:45:18 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:45:18 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:45:18 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:45:18 PM - INFO - Creating new RobustScaler
-05/03/2018 07:45:18 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:45:18 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:45:18 PM - INFO - Training and test data transformed
-05/03/2018 07:45:18 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:45:18 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:45:18 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:45:18 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:45:18 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:45:18 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:45:18 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:45:18 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:45:18 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:45:18 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:45:18 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:45:18 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:45:18 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:45:18 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:45:18 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:45:18 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:45:18 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:45:18 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:45:18 PM - INFO - Train model
-05/03/2018 07:45:18 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:45:18 PM - INFO - KeyError
-05/03/2018 07:45:18 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 07:45:18 PM - INFO - Compile model
-05/03/2018 07:45:18 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:45:18 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:45:24 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:45:27 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:45:28 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:45:28 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:45:30 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:45:30 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:45:30 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:45:30 PM - INFO - Creating new RobustScaler
-05/03/2018 07:45:30 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:45:30 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:45:30 PM - INFO - Training and test data transformed
-05/03/2018 07:45:30 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:45:30 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:45:30 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:45:30 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:45:30 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:45:30 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:45:30 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:45:30 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:45:30 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:45:30 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:45:30 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:45:30 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:45:30 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:45:30 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:45:30 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:45:30 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:45:30 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:45:30 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:45:30 PM - INFO - Train model
-05/03/2018 07:45:30 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:45:30 PM - INFO - KeyError
-05/03/2018 07:45:30 PM - INFO - Using adamax(**{}) as Optimizer
-05/03/2018 07:45:30 PM - INFO - Compile model
-05/03/2018 07:45:30 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:45:30 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:45:39 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:45:42 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:45:44 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:45:44 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:45:45 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:45:45 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:45:45 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:45:45 PM - INFO - Creating new RobustScaler
-05/03/2018 07:45:45 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:45:45 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:45:45 PM - INFO - Training and test data transformed
-05/03/2018 07:45:45 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:45:45 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:45:45 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:45:45 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:45:45 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:45:45 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:45:45 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:45:45 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:45:45 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:45:45 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:45:45 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:45:45 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:45:45 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:45:45 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:45:45 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:45:45 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:45:45 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:45:45 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:45:45 PM - INFO - Train model
-05/03/2018 07:45:45 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:45:45 PM - INFO - KeyError
-05/03/2018 07:45:45 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:45:45 PM - INFO - Compile model
-05/03/2018 07:45:45 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:45:45 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:45:53 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:45:56 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:45:57 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:45:57 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:45:58 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:45:58 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:45:58 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:45:58 PM - INFO - Creating new RobustScaler
-05/03/2018 07:45:58 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:45:58 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:45:58 PM - INFO - Training and test data transformed
-05/03/2018 07:45:58 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:45:58 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:45:58 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:45:58 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:45:58 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:45:58 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:45:58 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:45:58 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:45:58 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:45:58 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:45:58 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:45:58 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:45:59 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:45:59 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:45:59 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:45:59 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:45:59 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:45:59 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:45:59 PM - INFO - Train model
-05/03/2018 07:45:59 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:45:59 PM - INFO - KeyError
-05/03/2018 07:45:59 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:45:59 PM - INFO - Compile model
-05/03/2018 07:45:59 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:45:59 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:46:07 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:46:10 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:46:11 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:46:11 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:46:12 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:46:12 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:46:12 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:46:12 PM - INFO - Creating new RobustScaler
-05/03/2018 07:46:12 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:46:12 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:46:12 PM - INFO - Training and test data transformed
-05/03/2018 07:46:12 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:46:12 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:46:12 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:46:12 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:46:12 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:46:12 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:46:12 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:46:12 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:46:12 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:46:12 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:46:13 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:46:13 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:46:13 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:46:13 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:46:13 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:46:13 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:46:13 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:46:13 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:46:13 PM - INFO - Train model
-05/03/2018 07:46:13 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:46:13 PM - INFO - KeyError
-05/03/2018 07:46:13 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:46:13 PM - INFO - Compile model
-05/03/2018 07:46:13 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:46:13 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:46:50 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:46:56 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:46:59 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:46:59 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:47:01 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:47:01 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:47:01 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:47:01 PM - INFO - Creating new RobustScaler
-05/03/2018 07:47:01 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:47:01 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:47:01 PM - INFO - Training and test data transformed
-05/03/2018 07:47:01 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:47:01 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:47:01 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:47:01 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:47:01 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:47:01 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:47:01 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:47:01 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:47:01 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:47:01 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:47:01 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:47:01 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:47:01 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:47:01 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:47:01 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:47:01 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:47:01 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:47:01 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:47:01 PM - INFO - Train model
-05/03/2018 07:47:01 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:47:01 PM - INFO - KeyError
-05/03/2018 07:47:01 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:47:01 PM - INFO - Compile model
-05/03/2018 07:47:01 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:47:01 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:47:10 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:47:13 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:47:14 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:47:14 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:47:16 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:47:16 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:47:16 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:47:16 PM - INFO - Creating new RobustScaler
-05/03/2018 07:47:16 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:47:16 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:47:16 PM - INFO - Training and test data transformed
-05/03/2018 07:47:16 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:47:16 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:47:16 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:47:16 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:47:16 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:47:16 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:47:16 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:47:16 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:47:16 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:47:16 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:47:16 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:47:16 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:47:16 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:47:16 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:47:16 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:47:16 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:47:16 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:47:16 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:47:16 PM - INFO - Train model
-05/03/2018 07:47:16 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:47:16 PM - INFO - KeyError
-05/03/2018 07:47:16 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:47:16 PM - INFO - Compile model
-05/03/2018 07:47:16 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:47:16 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:47:27 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:47:30 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:47:32 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:47:32 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:47:33 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:47:33 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:47:33 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:47:33 PM - INFO - Creating new RobustScaler
-05/03/2018 07:47:33 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:47:33 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:47:33 PM - INFO - Training and test data transformed
-05/03/2018 07:47:33 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:47:33 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:47:33 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:47:33 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:47:33 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:47:33 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:47:33 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:47:33 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:47:33 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:47:33 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:47:33 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:47:33 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:47:33 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:47:33 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:47:33 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:47:33 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:47:33 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:47:33 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:47:33 PM - INFO - Train model
-05/03/2018 07:47:34 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:47:34 PM - INFO - KeyError
-05/03/2018 07:47:34 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:47:34 PM - INFO - Compile model
-05/03/2018 07:47:34 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:47:34 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:48:53 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:49:04 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:49:09 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:49:09 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:49:10 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:49:10 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:49:10 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:49:10 PM - INFO - Creating new RobustScaler
-05/03/2018 07:49:10 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:49:10 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:49:10 PM - INFO - Training and test data transformed
-05/03/2018 07:49:10 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:49:10 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:49:10 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:49:10 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:49:10 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:49:10 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:49:10 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:49:10 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:49:10 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:49:10 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:49:10 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:49:10 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:49:11 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:49:11 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:49:11 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:49:11 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:49:11 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:49:11 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:49:11 PM - INFO - Train model
-05/03/2018 07:49:11 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:49:11 PM - INFO - KeyError
-05/03/2018 07:49:11 PM - INFO - Using adam(**{}) as Optimizer
-05/03/2018 07:49:11 PM - INFO - Compile model
-05/03/2018 07:49:11 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:49:11 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:49:21 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:49:24 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:49:25 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:49:25 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:49:26 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:49:26 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:49:26 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:49:26 PM - INFO - Creating new RobustScaler
-05/03/2018 07:49:26 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:49:26 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:49:26 PM - INFO - Training and test data transformed
-05/03/2018 07:49:26 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:49:26 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:49:26 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:49:26 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:49:26 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:49:26 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:49:26 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:49:26 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:49:26 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:49:26 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:49:26 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:49:26 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:49:27 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:49:27 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:49:27 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:49:27 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:49:27 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:49:27 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:49:27 PM - INFO - Train model
-05/03/2018 07:49:27 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:49:27 PM - INFO - KeyError
-05/03/2018 07:49:27 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:49:27 PM - INFO - Compile model
-05/03/2018 07:49:27 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:49:27 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:49:36 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:49:39 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:49:41 PM - INFO - Generation average: 97.03%
-05/03/2018 07:49:41 PM - INFO - --------------------------------------------------------------------------------
-05/03/2018 07:49:41 PM - INFO - ***Doing generation 6 of 10***
-05/03/2018 07:49:41 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:49:41 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:49:42 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:49:42 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:49:42 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:49:42 PM - INFO - Creating new RobustScaler
-05/03/2018 07:49:42 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:49:42 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:49:42 PM - INFO - Training and test data transformed
-05/03/2018 07:49:42 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:49:42 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:49:42 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:49:42 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:49:42 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:49:42 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:49:42 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:49:42 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:49:42 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:49:42 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:49:42 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:49:42 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:49:42 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:49:42 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:49:42 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:49:42 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:49:42 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:49:42 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:49:42 PM - INFO - Train model
-05/03/2018 07:49:43 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:49:43 PM - INFO - KeyError
-05/03/2018 07:49:43 PM - INFO - Using adamax(**{}) as Optimizer
-05/03/2018 07:49:43 PM - INFO - Compile model
-05/03/2018 07:49:43 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:49:43 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:49:51 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:49:54 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:49:55 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:49:55 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:49:56 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:49:56 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:49:56 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:49:56 PM - INFO - Creating new RobustScaler
-05/03/2018 07:49:56 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:49:56 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:49:56 PM - INFO - Training and test data transformed
-05/03/2018 07:49:56 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:49:56 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:49:56 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:49:56 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:49:56 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:49:56 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:49:56 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:49:57 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:49:57 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:49:57 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:49:57 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:49:57 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:49:57 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:49:57 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:49:57 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:49:57 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:49:57 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:49:57 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:49:57 PM - INFO - Train model
-05/03/2018 07:49:57 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:49:57 PM - INFO - KeyError
-05/03/2018 07:49:57 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 07:49:57 PM - INFO - Compile model
-05/03/2018 07:49:57 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:49:57 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:50:04 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:50:07 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:50:08 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:50:08 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:50:10 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:50:10 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:50:10 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:50:10 PM - INFO - Creating new RobustScaler
-05/03/2018 07:50:10 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:50:10 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:50:10 PM - INFO - Training and test data transformed
-05/03/2018 07:50:10 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:50:10 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:50:10 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:50:10 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:50:10 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:50:10 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:50:10 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:50:10 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:50:10 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:50:10 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:50:10 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:50:10 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:50:10 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:50:10 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:50:10 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:50:10 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:50:10 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:50:10 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:50:10 PM - INFO - Train model
-05/03/2018 07:50:10 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:50:10 PM - INFO - KeyError
-05/03/2018 07:50:10 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:50:10 PM - INFO - Compile model
-05/03/2018 07:50:10 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:50:10 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:50:17 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:50:20 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:50:21 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:50:21 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:50:22 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:50:22 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:50:22 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:50:22 PM - INFO - Creating new RobustScaler
-05/03/2018 07:50:22 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:50:22 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:50:22 PM - INFO - Training and test data transformed
-05/03/2018 07:50:23 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:50:23 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:50:23 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:50:23 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:50:23 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:50:23 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:50:23 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:50:23 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:50:23 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:50:23 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:50:23 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:50:23 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:50:23 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:50:23 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:50:23 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:50:23 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:50:23 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:50:23 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:50:23 PM - INFO - Train model
-05/03/2018 07:50:23 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:50:23 PM - INFO - KeyError
-05/03/2018 07:50:23 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:50:23 PM - INFO - Compile model
-05/03/2018 07:50:23 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:50:23 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:51:28 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:51:38 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:51:44 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:51:44 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:51:45 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:51:45 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:51:45 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:51:45 PM - INFO - Creating new RobustScaler
-05/03/2018 07:51:45 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:51:45 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:51:45 PM - INFO - Training and test data transformed
-05/03/2018 07:51:45 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:51:45 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:51:45 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:51:45 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:51:45 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:51:45 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:51:45 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:51:45 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:51:45 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:51:45 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:51:45 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:51:45 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:51:45 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:51:45 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:51:45 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:51:45 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:51:45 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:51:45 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:51:45 PM - INFO - Train model
-05/03/2018 07:51:45 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:51:45 PM - INFO - KeyError
-05/03/2018 07:51:45 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 07:51:45 PM - INFO - Compile model
-05/03/2018 07:51:45 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:51:45 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:51:53 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:51:56 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:51:57 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:51:57 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:51:58 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:51:58 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:51:58 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:51:58 PM - INFO - Creating new RobustScaler
-05/03/2018 07:51:58 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:51:58 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:51:58 PM - INFO - Training and test data transformed
-05/03/2018 07:51:58 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:51:58 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:51:58 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:51:58 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:51:58 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:51:58 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:51:58 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:51:58 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:51:58 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:51:58 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:51:58 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:51:58 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:51:59 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:51:59 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:51:59 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:51:59 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:51:59 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:51:59 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:51:59 PM - INFO - Train model
-05/03/2018 07:51:59 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:51:59 PM - INFO - KeyError
-05/03/2018 07:51:59 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 07:51:59 PM - INFO - Compile model
-05/03/2018 07:51:59 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:51:59 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:52:07 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:52:10 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:52:11 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:52:11 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:52:13 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:52:13 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:52:13 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:52:13 PM - INFO - Creating new RobustScaler
-05/03/2018 07:52:13 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:52:13 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:52:13 PM - INFO - Training and test data transformed
-05/03/2018 07:52:13 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:52:13 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:52:13 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:52:13 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:52:13 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:52:13 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:52:13 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:52:13 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:52:13 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:52:13 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:52:13 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:52:13 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:52:13 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:52:13 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:52:13 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:52:13 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:52:13 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:52:13 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:52:13 PM - INFO - Train model
-05/03/2018 07:52:13 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:52:13 PM - INFO - KeyError
-05/03/2018 07:52:13 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:52:13 PM - INFO - Compile model
-05/03/2018 07:52:13 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:52:13 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:53:46 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:53:56 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:54:01 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:54:01 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:54:02 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:54:02 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:54:02 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:54:02 PM - INFO - Creating new RobustScaler
-05/03/2018 07:54:02 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:54:02 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:54:02 PM - INFO - Training and test data transformed
-05/03/2018 07:54:02 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:54:02 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:54:02 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:54:02 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:54:02 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:54:02 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:54:02 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:54:02 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:54:02 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:54:03 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:54:03 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:54:03 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:54:03 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:54:03 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:54:03 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:54:03 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:54:03 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:54:03 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:54:03 PM - INFO - Train model
-05/03/2018 07:54:03 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:54:03 PM - INFO - KeyError
-05/03/2018 07:54:03 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:54:03 PM - INFO - Compile model
-05/03/2018 07:54:03 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:54:03 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:55:57 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:56:07 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:56:12 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:56:12 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:56:14 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:56:14 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:56:14 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:56:14 PM - INFO - Creating new RobustScaler
-05/03/2018 07:56:14 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:56:14 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:56:14 PM - INFO - Training and test data transformed
-05/03/2018 07:56:14 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:56:14 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:56:14 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:56:14 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:56:14 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:56:14 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:56:14 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:56:14 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:56:14 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:56:14 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:56:14 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:56:14 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:56:14 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:56:14 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:56:14 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:56:14 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:56:14 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:56:14 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:56:14 PM - INFO - Train model
-05/03/2018 07:56:14 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:56:14 PM - INFO - KeyError
-05/03/2018 07:56:14 PM - INFO - Using adamax(**{}) as Optimizer
-05/03/2018 07:56:14 PM - INFO - Compile model
-05/03/2018 07:56:14 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:56:14 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:56:28 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:56:32 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:56:34 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:56:34 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:56:35 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:56:35 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:56:35 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:56:35 PM - INFO - Creating new RobustScaler
-05/03/2018 07:56:35 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:56:35 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:56:35 PM - INFO - Training and test data transformed
-05/03/2018 07:56:35 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:56:35 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:56:35 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:56:35 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:56:35 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:56:35 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:56:35 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:56:35 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:56:35 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:56:35 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:56:35 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:56:35 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:56:35 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:56:35 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:56:35 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:56:35 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:56:35 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:56:35 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:56:35 PM - INFO - Train model
-05/03/2018 07:56:35 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:56:35 PM - INFO - KeyError
-05/03/2018 07:56:35 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:56:35 PM - INFO - Compile model
-05/03/2018 07:56:35 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:56:35 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:57:30 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:57:41 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:57:46 PM - INFO - Generation average: 96.79%
-05/03/2018 07:57:46 PM - INFO - --------------------------------------------------------------------------------
-05/03/2018 07:57:46 PM - INFO - ***Doing generation 7 of 10***
-05/03/2018 07:57:46 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:57:46 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:57:48 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:57:48 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:57:48 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:57:48 PM - INFO - Creating new RobustScaler
-05/03/2018 07:57:48 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:57:48 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:57:48 PM - INFO - Training and test data transformed
-05/03/2018 07:57:48 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:57:48 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:57:48 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:57:48 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:57:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:57:48 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:57:48 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:57:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:57:48 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:57:48 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:57:48 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:57:48 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:57:48 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:57:48 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:57:48 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:57:48 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:57:48 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:57:48 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:57:48 PM - INFO - Train model
-05/03/2018 07:57:48 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:57:48 PM - INFO - KeyError
-05/03/2018 07:57:48 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:57:48 PM - INFO - Compile model
-05/03/2018 07:57:48 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:57:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:58:42 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:58:53 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:58:59 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:58:59 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:59:00 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:59:00 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:59:00 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:59:00 PM - INFO - Creating new RobustScaler
-05/03/2018 07:59:00 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:59:00 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:59:00 PM - INFO - Training and test data transformed
-05/03/2018 07:59:00 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:59:00 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:59:00 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:59:00 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:59:00 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:59:00 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:59:00 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:59:00 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:59:00 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:59:00 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:59:00 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:59:00 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:59:00 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:59:00 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:59:00 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:59:00 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:59:00 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:59:00 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:59:00 PM - INFO - Train model
-05/03/2018 07:59:00 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:59:00 PM - INFO - KeyError
-05/03/2018 07:59:01 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 07:59:01 PM - INFO - Compile model
-05/03/2018 07:59:01 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:59:01 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:59:10 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:59:13 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:59:14 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:59:14 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:59:16 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:59:16 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:59:16 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:59:16 PM - INFO - Creating new RobustScaler
-05/03/2018 07:59:16 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:59:16 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:59:16 PM - INFO - Training and test data transformed
-05/03/2018 07:59:16 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:59:16 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:59:16 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:59:16 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:59:16 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:59:16 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:59:16 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:59:16 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:59:16 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:59:16 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:59:16 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:59:16 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:59:16 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:59:16 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:59:16 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:59:16 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:59:16 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:59:16 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:59:16 PM - INFO - Train model
-05/03/2018 07:59:16 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:59:16 PM - INFO - KeyError
-05/03/2018 07:59:16 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:59:16 PM - INFO - Compile model
-05/03/2018 07:59:16 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:59:16 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:59:25 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:59:28 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:59:30 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:59:30 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:59:31 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:59:31 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:59:31 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:59:31 PM - INFO - Creating new RobustScaler
-05/03/2018 07:59:31 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:59:31 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:59:31 PM - INFO - Training and test data transformed
-05/03/2018 07:59:31 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:59:31 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:59:31 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:59:31 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:59:31 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:59:31 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:59:31 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:59:31 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:59:31 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:59:31 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:59:31 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:59:31 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:59:31 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:59:31 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:59:31 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:59:31 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:59:31 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:59:31 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:59:31 PM - INFO - Train model
-05/03/2018 07:59:31 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:59:31 PM - INFO - KeyError
-05/03/2018 07:59:31 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 07:59:31 PM - INFO - Compile model
-05/03/2018 07:59:31 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:59:31 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:59:39 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:59:42 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:59:44 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:59:44 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 07:59:45 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 07:59:45 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 07:59:45 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 07:59:45 PM - INFO - Creating new RobustScaler
-05/03/2018 07:59:45 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 07:59:45 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 07:59:45 PM - INFO - Training and test data transformed
-05/03/2018 07:59:45 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 07:59:45 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 07:59:45 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 07:59:45 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 07:59:45 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:59:45 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 07:59:45 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 07:59:45 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:59:45 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 07:59:45 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:59:45 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:59:45 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:59:45 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 07:59:45 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 07:59:45 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 07:59:45 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 07:59:45 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 07:59:45 PM - DEBUG - Writing TrueType font.
-05/03/2018 07:59:45 PM - INFO - Train model
-05/03/2018 07:59:45 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 07:59:45 PM - INFO - KeyError
-05/03/2018 07:59:45 PM - INFO - Using adamax(**{}) as Optimizer
-05/03/2018 07:59:45 PM - INFO - Compile model
-05/03/2018 07:59:45 PM - INFO - No weights found, starting completely new model
-05/03/2018 07:59:45 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 07:59:54 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 07:59:57 PM - INFO - Get test loss and metrics of the model
-05/03/2018 07:59:59 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 07:59:59 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:00:00 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:00:00 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:00:00 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:00:00 PM - INFO - Creating new RobustScaler
-05/03/2018 08:00:00 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:00:00 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:00:00 PM - INFO - Training and test data transformed
-05/03/2018 08:00:00 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:00:00 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:00:00 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:00:00 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:00:00 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:00:00 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:00:00 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:00:00 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:00:00 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:00:00 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:00:00 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:00:00 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:00:00 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:00:00 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:00:00 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:00:00 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:00:00 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:00:00 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:00:00 PM - INFO - Train model
-05/03/2018 08:00:00 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:00:00 PM - INFO - KeyError
-05/03/2018 08:00:00 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 08:00:00 PM - INFO - Compile model
-05/03/2018 08:00:00 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:00:00 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:00:09 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:00:12 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:00:14 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:00:14 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:00:15 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:00:15 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:00:15 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:00:15 PM - INFO - Creating new RobustScaler
-05/03/2018 08:00:15 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:00:15 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:00:15 PM - INFO - Training and test data transformed
-05/03/2018 08:00:15 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:00:15 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:00:15 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:00:15 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:00:15 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:00:15 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:00:15 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:00:15 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:00:15 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:00:15 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:00:16 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:00:16 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:00:16 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:00:16 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:00:16 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:00:16 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:00:16 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:00:16 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:00:16 PM - INFO - Train model
-05/03/2018 08:00:16 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:00:16 PM - INFO - KeyError
-05/03/2018 08:00:16 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 08:00:16 PM - INFO - Compile model
-05/03/2018 08:00:16 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:00:16 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:00:25 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:00:29 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:00:30 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:00:30 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:00:31 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:00:31 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:00:31 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:00:31 PM - INFO - Creating new RobustScaler
-05/03/2018 08:00:31 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:00:31 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:00:31 PM - INFO - Training and test data transformed
-05/03/2018 08:00:31 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:00:31 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:00:31 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:00:31 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:00:31 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:00:31 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:00:31 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:00:32 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:00:32 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:00:32 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:00:32 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:00:32 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:00:32 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:00:32 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:00:32 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:00:32 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:00:32 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:00:32 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:00:32 PM - INFO - Train model
-05/03/2018 08:00:32 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:00:32 PM - INFO - KeyError
-05/03/2018 08:00:32 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 08:00:32 PM - INFO - Compile model
-05/03/2018 08:00:32 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:00:32 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:00:41 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:00:45 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:00:46 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:00:46 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:00:48 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:00:48 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:00:48 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:00:48 PM - INFO - Creating new RobustScaler
-05/03/2018 08:00:48 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:00:48 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:00:48 PM - INFO - Training and test data transformed
-05/03/2018 08:00:48 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:00:48 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:00:48 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:00:48 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:00:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:00:48 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:00:48 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:00:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:00:48 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:00:48 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:00:48 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:00:48 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:00:48 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:00:48 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:00:48 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:00:48 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:00:48 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:00:48 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:00:48 PM - INFO - Train model
-05/03/2018 08:00:48 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:00:48 PM - INFO - KeyError
-05/03/2018 08:00:48 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 08:00:48 PM - INFO - Compile model
-05/03/2018 08:00:48 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:00:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:01:06 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:01:11 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:01:13 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:01:13 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:01:14 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:01:14 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:01:14 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:01:14 PM - INFO - Creating new RobustScaler
-05/03/2018 08:01:14 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:01:14 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:01:14 PM - INFO - Training and test data transformed
-05/03/2018 08:01:14 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:01:14 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:01:14 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:01:14 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:01:14 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:01:14 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:01:14 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:01:14 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:01:14 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:01:14 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:01:14 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:01:14 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:01:14 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:01:14 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:01:14 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:01:14 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:01:14 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:01:14 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:01:14 PM - INFO - Train model
-05/03/2018 08:01:14 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:01:14 PM - INFO - KeyError
-05/03/2018 08:01:15 PM - INFO - Using adamax(**{}) as Optimizer
-05/03/2018 08:01:15 PM - INFO - Compile model
-05/03/2018 08:01:15 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:01:15 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:01:24 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:01:28 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:01:30 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:01:30 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:01:31 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:01:31 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:01:31 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:01:31 PM - INFO - Creating new RobustScaler
-05/03/2018 08:01:31 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:01:31 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:01:31 PM - INFO - Training and test data transformed
-05/03/2018 08:01:31 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:01:31 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:01:31 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:01:31 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:01:31 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:01:31 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:01:31 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:01:31 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:01:31 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:01:31 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:01:31 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:01:31 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:01:31 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:01:31 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:01:31 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:01:32 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:01:32 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:01:32 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:01:32 PM - INFO - Train model
-05/03/2018 08:01:32 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:01:32 PM - INFO - KeyError
-05/03/2018 08:01:32 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 08:01:32 PM - INFO - Compile model
-05/03/2018 08:01:32 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:01:32 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:01:41 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:01:45 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:01:46 PM - INFO - Generation average: 97.01%
-05/03/2018 08:01:46 PM - INFO - --------------------------------------------------------------------------------
-05/03/2018 08:01:46 PM - INFO - ***Doing generation 8 of 10***
-05/03/2018 08:01:46 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:01:46 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:01:48 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:01:48 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:01:48 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:01:48 PM - INFO - Creating new RobustScaler
-05/03/2018 08:01:48 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:01:48 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:01:48 PM - INFO - Training and test data transformed
-05/03/2018 08:01:48 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:01:48 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:01:48 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:01:48 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:01:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:01:48 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:01:48 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:01:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:01:48 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:01:48 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:01:48 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:01:48 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:01:48 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:01:48 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:01:48 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:01:48 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:01:48 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:01:48 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:01:48 PM - INFO - Train model
-05/03/2018 08:01:48 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:01:48 PM - INFO - KeyError
-05/03/2018 08:01:48 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 08:01:48 PM - INFO - Compile model
-05/03/2018 08:01:48 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:01:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:01:55 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:01:59 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:02:00 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:02:00 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:02:02 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:02:02 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:02:02 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:02:02 PM - INFO - Creating new RobustScaler
-05/03/2018 08:02:02 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:02:02 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:02:02 PM - INFO - Training and test data transformed
-05/03/2018 08:02:02 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:02:02 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:02:02 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:02:02 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:02:02 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:02:02 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:02:02 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:02:02 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:02:02 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:02:02 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:02:02 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:02:02 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:02:02 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:02:02 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:02:02 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:02:02 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:02:02 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:02:02 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:02:02 PM - INFO - Train model
-05/03/2018 08:02:02 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:02:02 PM - INFO - KeyError
-05/03/2018 08:02:02 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 08:02:02 PM - INFO - Compile model
-05/03/2018 08:02:02 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:02:02 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:02:09 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:02:12 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:02:14 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:02:14 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:02:15 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:02:15 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:02:15 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:02:15 PM - INFO - Creating new RobustScaler
-05/03/2018 08:02:15 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:02:15 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:02:15 PM - INFO - Training and test data transformed
-05/03/2018 08:02:15 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:02:15 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:02:15 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:02:15 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:02:15 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:02:15 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:02:15 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:02:15 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:02:15 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:02:15 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:02:15 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:02:15 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:02:15 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:02:15 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:02:15 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:02:16 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:02:16 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:02:16 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:02:16 PM - INFO - Train model
-05/03/2018 08:02:16 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:02:16 PM - INFO - KeyError
-05/03/2018 08:02:16 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 08:02:16 PM - INFO - Compile model
-05/03/2018 08:02:16 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:02:16 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:02:23 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:02:27 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:02:29 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:02:29 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:02:30 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:02:30 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:02:30 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:02:30 PM - INFO - Creating new RobustScaler
-05/03/2018 08:02:30 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:02:30 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:02:30 PM - INFO - Training and test data transformed
-05/03/2018 08:02:30 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:02:30 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:02:30 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:02:30 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:02:30 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:02:30 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:02:30 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:02:30 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:02:30 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:02:30 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:02:30 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:02:30 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:02:30 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:02:30 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:02:30 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:02:30 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:02:30 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:02:30 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:02:30 PM - INFO - Train model
-05/03/2018 08:02:31 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:02:31 PM - INFO - KeyError
-05/03/2018 08:02:31 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 08:02:31 PM - INFO - Compile model
-05/03/2018 08:02:31 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:02:31 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:02:41 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:02:45 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:02:46 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:02:46 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:02:48 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:02:48 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:02:48 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:02:48 PM - INFO - Creating new RobustScaler
-05/03/2018 08:02:48 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:02:48 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:02:48 PM - INFO - Training and test data transformed
-05/03/2018 08:02:48 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:02:48 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:02:48 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:02:48 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:02:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:02:48 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:02:48 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:02:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:02:48 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:02:48 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:02:48 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:02:48 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:02:48 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:02:48 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:02:48 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:02:48 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:02:48 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:02:48 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:02:48 PM - INFO - Train model
-05/03/2018 08:02:48 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:02:48 PM - INFO - KeyError
-05/03/2018 08:02:48 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 08:02:48 PM - INFO - Compile model
-05/03/2018 08:02:48 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:02:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:02:58 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:03:02 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:03:03 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:03:03 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:03:05 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:03:05 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:03:05 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:03:05 PM - INFO - Creating new RobustScaler
-05/03/2018 08:03:05 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:03:05 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:03:05 PM - INFO - Training and test data transformed
-05/03/2018 08:03:05 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:03:05 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:03:05 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:03:05 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:03:05 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:03:05 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:03:05 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:03:05 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:03:05 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:03:05 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:03:05 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:03:05 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:03:05 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:03:05 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:03:05 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:03:05 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:03:05 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:03:05 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:03:05 PM - INFO - Train model
-05/03/2018 08:03:05 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:03:05 PM - INFO - KeyError
-05/03/2018 08:03:05 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 08:03:05 PM - INFO - Compile model
-05/03/2018 08:03:05 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:03:05 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:03:14 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:03:17 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:03:19 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:03:19 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:03:20 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:03:20 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:03:20 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:03:20 PM - INFO - Creating new RobustScaler
-05/03/2018 08:03:20 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:03:20 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:03:20 PM - INFO - Training and test data transformed
-05/03/2018 08:03:20 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:03:20 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:03:20 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:03:20 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:03:20 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:03:20 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:03:20 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:03:21 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:03:21 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:03:21 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:03:21 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:03:21 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:03:21 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:03:21 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:03:21 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:03:21 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:03:21 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:03:21 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:03:21 PM - INFO - Train model
-05/03/2018 08:03:21 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:03:21 PM - INFO - KeyError
-05/03/2018 08:03:21 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 08:03:21 PM - INFO - Compile model
-05/03/2018 08:03:21 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:03:21 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:03:28 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:03:32 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:03:34 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:03:34 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:03:35 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:03:35 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:03:35 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:03:35 PM - INFO - Creating new RobustScaler
-05/03/2018 08:03:35 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:03:35 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:03:35 PM - INFO - Training and test data transformed
-05/03/2018 08:03:35 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:03:35 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:03:35 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:03:35 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:03:35 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:03:35 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:03:35 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:03:35 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:03:35 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:03:35 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:03:35 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:03:35 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:03:35 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:03:35 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:03:35 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:03:35 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:03:35 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:03:35 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:03:36 PM - INFO - Train model
-05/03/2018 08:03:36 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:03:36 PM - INFO - KeyError
-05/03/2018 08:03:36 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 08:03:36 PM - INFO - Compile model
-05/03/2018 08:03:36 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:03:36 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:03:42 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:03:46 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:03:48 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:03:48 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:03:49 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:03:49 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:03:49 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:03:49 PM - INFO - Creating new RobustScaler
-05/03/2018 08:03:49 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:03:49 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:03:49 PM - INFO - Training and test data transformed
-05/03/2018 08:03:49 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:03:49 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:03:49 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:03:49 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:03:49 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:03:49 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:03:49 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:03:49 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:03:49 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:03:49 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:03:49 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:03:49 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:03:49 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:03:49 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:03:49 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:03:49 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:03:49 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:03:49 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:03:50 PM - INFO - Train model
-05/03/2018 08:03:50 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:03:50 PM - INFO - KeyError
-05/03/2018 08:03:50 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 08:03:50 PM - INFO - Compile model
-05/03/2018 08:03:50 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:03:50 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:04:01 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:04:04 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:04:06 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:04:06 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:04:07 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:04:07 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:04:07 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:04:07 PM - INFO - Creating new RobustScaler
-05/03/2018 08:04:07 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:04:07 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:04:07 PM - INFO - Training and test data transformed
-05/03/2018 08:04:07 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:04:07 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:04:07 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:04:07 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:04:08 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:04:08 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:04:08 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:04:08 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:04:08 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:04:08 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:04:08 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:04:08 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:04:08 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:04:08 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:04:08 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:04:08 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:04:08 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:04:08 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:04:08 PM - INFO - Train model
-05/03/2018 08:04:08 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:04:08 PM - INFO - KeyError
-05/03/2018 08:04:08 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 08:04:08 PM - INFO - Compile model
-05/03/2018 08:04:08 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:04:08 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:04:17 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:04:20 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:04:22 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:04:22 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:04:23 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:04:23 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:04:23 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:04:23 PM - INFO - Creating new RobustScaler
-05/03/2018 08:04:23 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:04:23 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:04:23 PM - INFO - Training and test data transformed
-05/03/2018 08:04:23 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:04:23 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:04:23 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:04:23 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:04:23 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:04:23 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:04:23 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:04:24 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:04:24 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:04:24 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:04:24 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:04:24 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:04:24 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:04:24 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:04:24 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:04:24 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:04:24 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:04:24 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:04:24 PM - INFO - Train model
-05/03/2018 08:04:24 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:04:24 PM - INFO - KeyError
-05/03/2018 08:04:24 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 08:04:24 PM - INFO - Compile model
-05/03/2018 08:04:25 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:04:25 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:04:35 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:04:38 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:04:40 PM - INFO - Generation average: 96.94%
-05/03/2018 08:04:40 PM - INFO - --------------------------------------------------------------------------------
-05/03/2018 08:04:40 PM - INFO - ***Doing generation 9 of 10***
-05/03/2018 08:04:40 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:04:40 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:04:41 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:04:41 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:04:41 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:04:41 PM - INFO - Creating new RobustScaler
-05/03/2018 08:04:41 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:04:41 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:04:41 PM - INFO - Training and test data transformed
-05/03/2018 08:04:41 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:04:41 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:04:41 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:04:41 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:04:41 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:04:41 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:04:41 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:04:41 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:04:41 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:04:41 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:04:41 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:04:41 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:04:42 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:04:42 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:04:42 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:04:42 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:04:42 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:04:42 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:04:42 PM - INFO - Train model
-05/03/2018 08:04:42 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:04:42 PM - INFO - KeyError
-05/03/2018 08:04:42 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 08:04:42 PM - INFO - Compile model
-05/03/2018 08:04:42 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:04:42 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:05:33 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:05:41 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:05:45 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:05:45 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:05:47 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:05:47 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:05:47 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:05:47 PM - INFO - Creating new RobustScaler
-05/03/2018 08:05:47 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:05:47 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:05:47 PM - INFO - Training and test data transformed
-05/03/2018 08:05:47 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:05:47 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:05:47 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:05:47 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:05:47 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:05:47 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:05:47 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:05:47 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:05:47 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:05:47 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:05:47 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:05:47 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:05:47 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:05:47 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:05:47 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:05:47 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:05:47 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:05:47 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:05:47 PM - INFO - Train model
-05/03/2018 08:05:47 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:05:47 PM - INFO - KeyError
-05/03/2018 08:05:47 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 08:05:47 PM - INFO - Compile model
-05/03/2018 08:05:47 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:05:47 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:06:45 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:06:57 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:07:02 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:07:02 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:07:04 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:07:04 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:07:04 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:07:04 PM - INFO - Creating new RobustScaler
-05/03/2018 08:07:04 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:07:04 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:07:04 PM - INFO - Training and test data transformed
-05/03/2018 08:07:04 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:07:04 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:07:04 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:07:04 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:07:04 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:07:04 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:07:04 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:07:04 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:07:04 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:07:04 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:07:04 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:07:04 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:07:04 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:07:04 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:07:04 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:07:04 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:07:04 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:07:04 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:07:04 PM - INFO - Train model
-05/03/2018 08:07:04 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:07:04 PM - INFO - KeyError
-05/03/2018 08:07:04 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 08:07:04 PM - INFO - Compile model
-05/03/2018 08:07:04 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:07:04 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:07:14 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:07:18 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:07:19 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:07:19 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:07:21 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:07:21 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:07:21 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:07:21 PM - INFO - Creating new RobustScaler
-05/03/2018 08:07:21 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:07:21 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:07:21 PM - INFO - Training and test data transformed
-05/03/2018 08:07:21 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:07:21 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:07:21 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:07:21 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:07:21 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:07:21 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:07:21 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:07:21 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:07:21 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:07:21 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:07:21 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:07:21 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:07:21 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:07:21 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:07:21 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:07:21 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:07:21 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:07:21 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:07:21 PM - INFO - Train model
-05/03/2018 08:07:21 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:07:21 PM - INFO - KeyError
-05/03/2018 08:07:21 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 08:07:21 PM - INFO - Compile model
-05/03/2018 08:07:21 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:07:21 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:07:29 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:07:33 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:07:35 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:07:35 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:07:36 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:07:36 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:07:36 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:07:36 PM - INFO - Creating new RobustScaler
-05/03/2018 08:07:36 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:07:36 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:07:36 PM - INFO - Training and test data transformed
-05/03/2018 08:07:36 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:07:36 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:07:36 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:07:36 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:07:36 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:07:36 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:07:36 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:07:36 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:07:36 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:07:36 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:07:36 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:07:36 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:07:37 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:07:37 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:07:37 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:07:37 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:07:37 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:07:37 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:07:37 PM - INFO - Train model
-05/03/2018 08:07:37 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:07:37 PM - INFO - KeyError
-05/03/2018 08:07:37 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 08:07:37 PM - INFO - Compile model
-05/03/2018 08:07:37 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:07:37 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:07:46 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:07:50 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:07:51 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:07:51 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:07:53 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:07:53 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:07:53 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:07:53 PM - INFO - Creating new RobustScaler
-05/03/2018 08:07:53 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:07:53 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:07:53 PM - INFO - Training and test data transformed
-05/03/2018 08:07:53 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:07:53 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:07:53 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:07:53 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:07:53 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:07:53 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:07:53 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:07:53 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:07:53 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:07:53 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:07:53 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:07:53 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:07:53 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:07:53 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:07:53 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:07:53 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:07:53 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:07:53 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:07:53 PM - INFO - Train model
-05/03/2018 08:07:53 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:07:53 PM - INFO - KeyError
-05/03/2018 08:07:53 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 08:07:53 PM - INFO - Compile model
-05/03/2018 08:07:53 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:07:53 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:08:04 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:08:08 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:08:09 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:08:09 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:08:11 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:08:11 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:08:11 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:08:11 PM - INFO - Creating new RobustScaler
-05/03/2018 08:08:11 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:08:11 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:08:11 PM - INFO - Training and test data transformed
-05/03/2018 08:08:11 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:08:11 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:08:11 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:08:11 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:08:11 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:08:11 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:08:11 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:08:11 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:08:11 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:08:11 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:08:11 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:08:11 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:08:11 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:08:11 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:08:11 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:08:11 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:08:11 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:08:11 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:08:11 PM - INFO - Train model
-05/03/2018 08:08:11 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:08:11 PM - INFO - KeyError
-05/03/2018 08:08:11 PM - INFO - Using adamax(**{}) as Optimizer
-05/03/2018 08:08:11 PM - INFO - Compile model
-05/03/2018 08:08:11 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:08:11 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:08:22 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:08:26 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:08:28 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:08:28 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:08:29 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:08:29 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:08:29 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:08:29 PM - INFO - Creating new RobustScaler
-05/03/2018 08:08:29 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:08:29 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:08:29 PM - INFO - Training and test data transformed
-05/03/2018 08:08:29 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:08:29 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:08:29 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:08:29 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:08:29 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:08:29 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:08:29 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:08:29 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:08:29 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:08:29 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:08:29 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:08:29 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:08:29 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:08:29 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:08:29 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:08:29 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:08:29 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:08:29 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:08:29 PM - INFO - Train model
-05/03/2018 08:08:29 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:08:29 PM - INFO - KeyError
-05/03/2018 08:08:29 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 08:08:29 PM - INFO - Compile model
-05/03/2018 08:08:29 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:08:29 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:08:40 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:08:44 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:08:46 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:08:46 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:08:47 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:08:47 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:08:47 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:08:47 PM - INFO - Creating new RobustScaler
-05/03/2018 08:08:47 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:08:47 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:08:47 PM - INFO - Training and test data transformed
-05/03/2018 08:08:47 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:08:47 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:08:47 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:08:47 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:08:47 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:08:47 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:08:47 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:08:47 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:08:47 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:08:47 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:08:47 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:08:47 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:08:47 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:08:47 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:08:47 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:08:47 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:08:47 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:08:47 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:08:48 PM - INFO - Train model
-05/03/2018 08:08:48 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:08:48 PM - INFO - KeyError
-05/03/2018 08:08:48 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 08:08:48 PM - INFO - Compile model
-05/03/2018 08:08:48 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:08:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:08:58 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:09:02 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:09:04 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:09:04 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:09:05 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:09:05 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:09:05 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:09:05 PM - INFO - Creating new RobustScaler
-05/03/2018 08:09:05 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:09:05 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:09:05 PM - INFO - Training and test data transformed
-05/03/2018 08:09:05 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:09:05 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:09:05 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:09:05 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:09:05 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:09:05 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:09:05 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:09:05 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:09:05 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:09:05 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:09:05 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:09:05 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:09:05 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:09:05 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:09:05 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:09:05 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:09:05 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:09:05 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:09:05 PM - INFO - Train model
-05/03/2018 08:09:05 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:09:05 PM - INFO - KeyError
-05/03/2018 08:09:05 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 08:09:05 PM - INFO - Compile model
-05/03/2018 08:09:05 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:09:05 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:09:14 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:09:18 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:09:20 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:09:20 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:09:21 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:09:21 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:09:21 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:09:21 PM - INFO - Creating new RobustScaler
-05/03/2018 08:09:21 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:09:22 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:09:22 PM - INFO - Training and test data transformed
-05/03/2018 08:09:22 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:09:22 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:09:22 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:09:22 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:09:22 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:09:22 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:09:22 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:09:22 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:09:22 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:09:22 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:09:22 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:09:22 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:09:22 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:09:22 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:09:22 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:09:22 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:09:22 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:09:22 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:09:22 PM - INFO - Train model
-05/03/2018 08:09:22 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:09:22 PM - INFO - KeyError
-05/03/2018 08:09:22 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 08:09:22 PM - INFO - Compile model
-05/03/2018 08:09:22 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:09:22 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:09:30 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:09:34 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:09:36 PM - INFO - Generation average: 96.99%
-05/03/2018 08:09:36 PM - INFO - --------------------------------------------------------------------------------
-05/03/2018 08:09:36 PM - INFO - ***Doing generation 10 of 10***
-05/03/2018 08:09:36 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:09:36 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:09:37 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:09:37 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:09:37 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:09:37 PM - INFO - Creating new RobustScaler
-05/03/2018 08:09:37 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:09:37 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:09:37 PM - INFO - Training and test data transformed
-05/03/2018 08:09:37 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:09:37 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:09:37 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:09:37 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:09:37 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:09:37 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:09:37 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:09:37 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:09:37 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:09:37 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:09:37 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:09:37 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:09:37 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:09:37 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:09:37 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:09:37 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:09:37 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:09:37 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:09:37 PM - INFO - Train model
-05/03/2018 08:09:38 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:09:38 PM - INFO - KeyError
-05/03/2018 08:09:38 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 08:09:38 PM - INFO - Compile model
-05/03/2018 08:09:38 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:09:38 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:10:14 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:10:21 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:10:24 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:10:24 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:10:25 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:10:25 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:10:25 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:10:25 PM - INFO - Creating new RobustScaler
-05/03/2018 08:10:25 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:10:25 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:10:25 PM - INFO - Training and test data transformed
-05/03/2018 08:10:25 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:10:25 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:10:25 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:10:25 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:10:26 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:10:26 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:10:26 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:10:26 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:10:26 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:10:26 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:10:26 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:10:26 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:10:26 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:10:26 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:10:26 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:10:26 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:10:26 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:10:26 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:10:26 PM - INFO - Train model
-05/03/2018 08:10:26 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:10:26 PM - INFO - KeyError
-05/03/2018 08:10:26 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 08:10:26 PM - INFO - Compile model
-05/03/2018 08:10:26 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:10:26 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:10:35 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:10:39 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:10:41 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:10:41 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:10:42 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:10:42 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:10:42 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:10:42 PM - INFO - Creating new RobustScaler
-05/03/2018 08:10:42 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:10:42 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:10:42 PM - INFO - Training and test data transformed
-05/03/2018 08:10:42 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:10:42 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:10:42 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:10:42 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:10:42 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:10:42 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:10:42 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:10:42 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:10:42 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:10:42 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:10:42 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:10:42 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:10:42 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:10:42 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:10:42 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:10:42 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:10:42 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:10:42 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:10:42 PM - INFO - Train model
-05/03/2018 08:10:43 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:10:43 PM - INFO - KeyError
-05/03/2018 08:10:43 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 08:10:43 PM - INFO - Compile model
-05/03/2018 08:10:43 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:10:43 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:10:51 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:10:55 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:10:57 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:10:57 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:10:58 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:10:58 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:10:58 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:10:58 PM - INFO - Creating new RobustScaler
-05/03/2018 08:10:58 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:10:58 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:10:58 PM - INFO - Training and test data transformed
-05/03/2018 08:10:58 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:10:58 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:10:58 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:10:58 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:10:58 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:10:58 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:10:59 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:10:59 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:10:59 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:10:59 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:10:59 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:10:59 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:10:59 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:10:59 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:10:59 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:10:59 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:10:59 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:10:59 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:10:59 PM - INFO - Train model
-05/03/2018 08:10:59 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:10:59 PM - INFO - KeyError
-05/03/2018 08:10:59 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 08:10:59 PM - INFO - Compile model
-05/03/2018 08:10:59 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:10:59 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:11:06 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:11:10 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:11:12 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:11:12 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:11:13 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:11:13 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:11:13 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:11:13 PM - INFO - Creating new RobustScaler
-05/03/2018 08:11:13 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:11:13 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:11:13 PM - INFO - Training and test data transformed
-05/03/2018 08:11:13 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:11:13 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:11:13 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:11:13 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:11:13 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:11:13 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:11:13 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:11:13 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:11:13 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:11:13 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:11:13 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:11:13 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:11:13 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:11:13 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:11:13 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:11:13 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:11:13 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:11:13 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:11:14 PM - INFO - Train model
-05/03/2018 08:11:14 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:11:14 PM - INFO - KeyError
-05/03/2018 08:11:14 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 08:11:14 PM - INFO - Compile model
-05/03/2018 08:11:14 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:11:14 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:11:27 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:11:32 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:11:35 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:11:35 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:11:36 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:11:36 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:11:36 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:11:36 PM - INFO - Creating new RobustScaler
-05/03/2018 08:11:36 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:11:36 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:11:36 PM - INFO - Training and test data transformed
-05/03/2018 08:11:36 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:11:36 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:11:36 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:11:36 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:11:36 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:11:36 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:11:36 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:11:36 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:11:36 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:11:36 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:11:36 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:11:36 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:11:36 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:11:36 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:11:36 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:11:36 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:11:36 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:11:36 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:11:36 PM - INFO - Train model
-05/03/2018 08:11:36 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:11:36 PM - INFO - KeyError
-05/03/2018 08:11:36 PM - INFO - Using rmsprop(**{}) as Optimizer
-05/03/2018 08:11:36 PM - INFO - Compile model
-05/03/2018 08:11:37 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:11:37 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:11:49 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:11:53 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:11:55 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:11:55 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:11:56 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:11:56 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:11:56 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:11:56 PM - INFO - Creating new RobustScaler
-05/03/2018 08:11:56 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:11:56 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:11:56 PM - INFO - Training and test data transformed
-05/03/2018 08:11:56 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:11:56 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:11:56 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:11:56 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:11:56 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:11:56 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:11:56 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:11:56 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:11:56 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:11:56 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:11:57 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:11:57 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:11:57 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:11:57 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:11:57 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:11:57 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:11:57 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:11:57 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:11:57 PM - INFO - Train model
-05/03/2018 08:11:57 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:11:57 PM - INFO - KeyError
-05/03/2018 08:11:57 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 08:11:57 PM - INFO - Compile model
-05/03/2018 08:11:57 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:11:57 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:12:07 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:12:12 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:12:13 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:12:13 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:12:15 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:12:15 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:12:15 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:12:15 PM - INFO - Creating new RobustScaler
-05/03/2018 08:12:15 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:12:15 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:12:15 PM - INFO - Training and test data transformed
-05/03/2018 08:12:15 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:12:15 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:12:15 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:12:15 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:12:15 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:12:15 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:12:15 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:12:15 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:12:15 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:12:15 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:12:15 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:12:15 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:12:15 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:12:15 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:12:15 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:12:15 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:12:15 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:12:15 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:12:15 PM - INFO - Train model
-05/03/2018 08:12:15 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:12:15 PM - INFO - KeyError
-05/03/2018 08:12:15 PM - INFO - Using nadam(**{}) as Optimizer
-05/03/2018 08:12:15 PM - INFO - Compile model
-05/03/2018 08:12:15 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:12:15 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:12:27 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:12:31 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:12:33 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:12:33 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:12:34 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:12:34 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:12:34 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:12:34 PM - INFO - Creating new RobustScaler
-05/03/2018 08:12:34 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:12:34 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:12:34 PM - INFO - Training and test data transformed
-05/03/2018 08:12:34 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:12:34 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:12:34 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:12:34 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:12:34 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:12:34 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:12:34 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:12:34 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:12:34 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:12:34 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:12:34 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:12:34 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:12:34 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:12:34 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:12:34 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:12:34 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:12:34 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:12:34 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:12:34 PM - INFO - Train model
-05/03/2018 08:12:34 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:12:34 PM - INFO - KeyError
-05/03/2018 08:12:34 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 08:12:34 PM - INFO - Compile model
-05/03/2018 08:12:34 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:12:34 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:12:40 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:12:45 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:12:47 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:12:47 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:12:48 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:12:48 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:12:48 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:12:48 PM - INFO - Creating new RobustScaler
-05/03/2018 08:12:48 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:12:48 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:12:48 PM - INFO - Training and test data transformed
-05/03/2018 08:12:48 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:12:48 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:12:48 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:12:48 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:12:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:12:48 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:12:48 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:12:48 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:12:48 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:12:48 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:12:48 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:12:48 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:12:48 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:12:48 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:12:48 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:12:48 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:12:48 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:12:48 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:12:49 PM - INFO - Train model
-05/03/2018 08:12:49 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:12:49 PM - INFO - KeyError
-05/03/2018 08:12:49 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 08:12:49 PM - INFO - Compile model
-05/03/2018 08:12:49 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:12:49 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:12:58 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:13:02 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:13:04 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
-05/03/2018 08:13:04 PM - INFO - Couldn't load all datasets - reading from ROOT trees
-05/03/2018 08:13:05 PM - DEBUG - training data before transformation: [[950.8178   310.67346 ]
- [689.7896   164.79187 ]
- [605.84894   76.77965 ]
- ...
- [221.43806   57.68829 ]
- [478.28116   27.593285]
- [759.3491    47.761116]]
-05/03/2018 08:13:05 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
-05/03/2018 08:13:05 PM - DEBUG - maximum values: [2972.1663, 6567.212]
-05/03/2018 08:13:05 PM - INFO - Creating new RobustScaler
-05/03/2018 08:13:05 PM - INFO - Fitting RobustScaler to training data
-05/03/2018 08:13:05 PM - DEBUG - training data after transformation: [[ 4.678216    5.0818543 ]
- [ 2.8512027   2.122609  ]
- [ 2.2636774   0.3372586 ]
- ...
- [-0.42692736 -0.05001445]
- [ 1.370793   -0.6604993 ]
- [ 3.3380704  -0.25138968]]
-05/03/2018 08:13:05 PM - INFO - Training and test data transformed
-05/03/2018 08:13:05 PM - DEBUG - Plotting bkg (min=-0.576951563358, max=18.8262271881) from [-0.36245644 -0.571032   -0.5530677  ... -0.42692736  1.370793
-  3.3380704 ]
-05/03/2018 08:13:05 PM - DEBUG - Plotting sig (min=-0.576769471169, max=8.76014995575) from [ 4.678216    2.8512027   2.2636774  ... -0.28397465  0.3377439
-  7.3467083 ]
-05/03/2018 08:13:05 PM - DEBUG - Calculated range based on percentiles: (-0.5013251566886902, 6.450924358367917)
-05/03/2018 08:13:05 PM - DEBUG - Calculating background weights for plotting
-05/03/2018 08:13:06 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:13:06 PM - DEBUG - Background weights: [4.59655514e-06 4.59655514e-06 4.59655514e-06 ... 1.48291876e-07
- 1.48291876e-07 1.51569264e-07]
-05/03/2018 08:13:06 PM - DEBUG - Calculating signal weights for plotting
-05/03/2018 08:13:06 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:13:06 PM - DEBUG - Signal weights: [2.18542941e-05 2.18542941e-05 2.18542941e-05 ... 2.18542941e-05
- 2.18542941e-05 2.37158099e-05]
-05/03/2018 08:13:06 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:13:06 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:13:06 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:13:06 PM - DEBUG - Plotting bkg (min=-1.22022783756, max=131.997329712) from [-0.26027325 -0.4640601  -0.76443064 ... -0.05001445 -0.6604993
- -0.25138968]
-05/03/2018 08:13:06 PM - DEBUG - Plotting sig (min=-1.21512341499, max=33.6264152527) from [ 5.0818543  2.122609   0.3372586 ...  7.0550213  7.685349  20.405071 ]
-05/03/2018 08:13:06 PM - DEBUG - Calculated range based on percentiles: (-1.0662700653076171, 25.562595825195302)
-05/03/2018 08:13:06 PM - DEBUG - Assigning font /F1 = u'/home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'
-05/03/2018 08:13:06 PM - DEBUG - Embedding font /home/t/Thomas.Weber/.miniconda2/envs/ml_env/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
-05/03/2018 08:13:06 PM - DEBUG - Writing TrueType font.
-05/03/2018 08:13:06 PM - INFO - Train model
-05/03/2018 08:13:06 PM - INFO - Trying to load pred_test from ./outputs/pred_test.h5
-05/03/2018 08:13:06 PM - INFO - KeyError
-05/03/2018 08:13:06 PM - INFO - Using adagrad(**{}) as Optimizer
-05/03/2018 08:13:06 PM - INFO - Compile model
-05/03/2018 08:13:06 PM - INFO - No weights found, starting completely new model
-05/03/2018 08:13:06 PM - DEBUG - Calculated class_weight: [0.5026114128283947, 96.2336187069562]
-05/03/2018 08:13:15 PM - INFO - Create/Update predictions for ROC curve
-05/03/2018 08:13:19 PM - INFO - Get test loss and metrics of the model
-05/03/2018 08:13:21 PM - INFO - Generation average: 96.98%
-05/03/2018 08:13:21 PM - INFO - --------------------------------------------------------------------------------
-05/03/2018 08:13:21 PM - INFO - --------------------------------------------------------------------------------
-05/03/2018 08:13:21 PM - INFO - {'nb_layers': 4, 'activation': 'elu', 'optimizer': 'rmsprop', 'nb_neurons': 64}
-05/03/2018 08:13:21 PM - INFO - Network accuracy: 97.29%
-05/03/2018 08:13:21 PM - INFO - {'nb_layers': 4, 'activation': 'elu', 'optimizer': 'nadam', 'nb_neurons': 64}
-05/03/2018 08:13:21 PM - INFO - Network accuracy: 97.28%
-05/03/2018 08:13:21 PM - INFO - {'nb_layers': 2, 'activation': 'elu', 'optimizer': 'nadam', 'nb_neurons': 64}
-05/03/2018 08:13:21 PM - INFO - Network accuracy: 97.27%
-05/03/2018 08:13:21 PM - INFO - {'nb_layers': 2, 'activation': 'elu', 'optimizer': 'nadam', 'nb_neurons': 64}
-05/03/2018 08:13:21 PM - INFO - Network accuracy: 97.27%
-05/03/2018 08:13:21 PM - INFO - {'nb_layers': 2, 'activation': 'elu', 'optimizer': 'adagrad', 'nb_neurons': 64}
-05/03/2018 08:13:21 PM - INFO - Network accuracy: 97.25%
+05/04/2018 12:06:59 PM - INFO - ***Evolving 7 generations with population 5***
+05/04/2018 12:06:59 PM - INFO - ***Doing generation 1 of 7***
+05/04/2018 12:06:59 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:06:59 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:07:01 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:07:01 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:07:01 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:07:01 PM - INFO - Creating new RobustScaler
+05/04/2018 12:07:01 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:07:01 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:07:01 PM - INFO - Training and test data transformed
+05/04/2018 12:07:01 PM - INFO - Train model
+05/04/2018 12:07:01 PM - INFO - Using SGD(**{'lr': 0.5, 'momentum': 0.7, 'decay': 1e-05}) as Optimizer
+05/04/2018 12:07:01 PM - INFO - Compile model
+05/04/2018 12:07:01 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:07:01 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.865933882725024]
+05/04/2018 12:07:01 PM - WARNING - Variable *= will be deprecated. Use variable.assign_mul if you want assignment to the variable value or 'x = x * y' if you want a new python Tensor object.
+05/04/2018 12:08:15 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:08:18 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:08:18 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:08:20 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:08:20 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:08:20 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:08:20 PM - INFO - Creating new RobustScaler
+05/04/2018 12:08:20 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:08:20 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:08:20 PM - INFO - Training and test data transformed
+05/04/2018 12:08:20 PM - INFO - Train model
+05/04/2018 12:08:20 PM - INFO - Using SGD(**{'lr': 1.0, 'momentum': 0.0, 'decay': 0.1}) as Optimizer
+05/04/2018 12:08:20 PM - INFO - Compile model
+05/04/2018 12:08:20 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:08:20 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.865933882725024]
+05/04/2018 12:18:00 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:18:12 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:18:12 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:18:14 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:18:14 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:18:14 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:18:14 PM - INFO - Creating new RobustScaler
+05/04/2018 12:18:14 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:18:14 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:18:14 PM - INFO - Training and test data transformed
+05/04/2018 12:18:14 PM - INFO - Train model
+05/04/2018 12:18:14 PM - INFO - Using SGD(**{'lr': 0.5, 'momentum': 0.5, 'decay': 0.01}) as Optimizer
+05/04/2018 12:18:14 PM - INFO - Compile model
+05/04/2018 12:18:14 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:18:14 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.86593388272502]
+05/04/2018 12:18:24 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:18:25 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:18:25 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:18:26 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:18:26 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:18:26 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:18:26 PM - INFO - Creating new RobustScaler
+05/04/2018 12:18:26 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:18:26 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:18:26 PM - INFO - Training and test data transformed
+05/04/2018 12:18:26 PM - INFO - Train model
+05/04/2018 12:18:26 PM - INFO - Using SGD(**{'lr': 0.1, 'momentum': 0.1, 'decay': 1e-07}) as Optimizer
+05/04/2018 12:18:26 PM - INFO - Compile model
+05/04/2018 12:18:26 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:18:26 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.86593388272504]
+05/04/2018 12:23:55 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:24:03 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:24:03 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:24:05 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:24:05 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:24:05 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:24:05 PM - INFO - Creating new RobustScaler
+05/04/2018 12:24:05 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:24:05 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:24:05 PM - INFO - Training and test data transformed
+05/04/2018 12:24:05 PM - INFO - Train model
+05/04/2018 12:24:05 PM - INFO - Using SGD(**{'lr': 0.1, 'momentum': 1.0, 'decay': 0.01}) as Optimizer
+05/04/2018 12:24:05 PM - INFO - Compile model
+05/04/2018 12:24:05 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:24:05 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.865933882725024]
+05/04/2018 12:26:31 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:26:35 PM - INFO - Generation average: 58.25%
+05/04/2018 12:26:35 PM - INFO - --------------------------------------------------------------------------------
+05/04/2018 12:26:35 PM - INFO - ***Doing generation 2 of 7***
+05/04/2018 12:26:35 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:26:35 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:26:37 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:26:37 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:26:37 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:26:37 PM - INFO - Creating new RobustScaler
+05/04/2018 12:26:37 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:26:37 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:26:37 PM - INFO - Training and test data transformed
+05/04/2018 12:26:37 PM - INFO - Train model
+05/04/2018 12:26:37 PM - INFO - Using SGD(**{'lr': 0.5, 'momentum': 1.0, 'decay': 1e-05}) as Optimizer
+05/04/2018 12:26:37 PM - INFO - Compile model
+05/04/2018 12:26:37 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:26:37 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.865933882725024]
+05/04/2018 12:27:48 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:27:52 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:27:52 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:27:54 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:27:54 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:27:54 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:27:54 PM - INFO - Creating new RobustScaler
+05/04/2018 12:27:54 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:27:54 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:27:54 PM - INFO - Training and test data transformed
+05/04/2018 12:27:54 PM - INFO - Train model
+05/04/2018 12:27:54 PM - INFO - Using SGD(**{'lr': 0.1, 'momentum': 1.0, 'decay': 1e-05}) as Optimizer
+05/04/2018 12:27:54 PM - INFO - Compile model
+05/04/2018 12:27:54 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:27:54 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.86593388272504]
+05/04/2018 12:28:53 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:28:55 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:28:55 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:28:57 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:28:57 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:28:57 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:28:57 PM - INFO - Creating new RobustScaler
+05/04/2018 12:28:57 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:28:57 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:28:57 PM - INFO - Training and test data transformed
+05/04/2018 12:28:57 PM - INFO - Train model
+05/04/2018 12:28:57 PM - INFO - Using SGD(**{'lr': 0.5, 'momentum': 1.0, 'decay': 0.1}) as Optimizer
+05/04/2018 12:28:57 PM - INFO - Compile model
+05/04/2018 12:28:57 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:28:57 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.865933882725024]
+05/04/2018 12:31:28 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:31:32 PM - INFO - Generation average: 94.69%
+05/04/2018 12:31:32 PM - INFO - --------------------------------------------------------------------------------
+05/04/2018 12:31:32 PM - INFO - ***Doing generation 3 of 7***
+05/04/2018 12:31:32 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:31:32 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:31:34 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:31:34 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:31:34 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:31:34 PM - INFO - Creating new RobustScaler
+05/04/2018 12:31:34 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:31:34 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:31:34 PM - INFO - Training and test data transformed
+05/04/2018 12:31:34 PM - INFO - Train model
+05/04/2018 12:31:34 PM - INFO - Using SGD(**{'lr': 0.1, 'momentum': 1.0, 'decay': 0.01}) as Optimizer
+05/04/2018 12:31:34 PM - INFO - Compile model
+05/04/2018 12:31:34 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:31:34 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.865933882725024]
+05/04/2018 12:34:08 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:34:13 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:34:13 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:34:14 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:34:14 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:34:14 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:34:14 PM - INFO - Creating new RobustScaler
+05/04/2018 12:34:14 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:34:14 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:34:14 PM - INFO - Training and test data transformed
+05/04/2018 12:34:14 PM - INFO - Train model
+05/04/2018 12:34:14 PM - INFO - Using SGD(**{'lr': 0.5, 'momentum': 0.1, 'decay': 1e-05}) as Optimizer
+05/04/2018 12:34:14 PM - INFO - Compile model
+05/04/2018 12:34:14 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:34:14 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.86593388272502]
+05/04/2018 12:36:42 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:36:47 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:36:47 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:36:49 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:36:49 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:36:49 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:36:49 PM - INFO - Creating new RobustScaler
+05/04/2018 12:36:49 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:36:49 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:36:49 PM - INFO - Training and test data transformed
+05/04/2018 12:36:49 PM - INFO - Train model
+05/04/2018 12:36:49 PM - INFO - Using SGD(**{'lr': 0.5, 'momentum': 1.0, 'decay': 0.01}) as Optimizer
+05/04/2018 12:36:49 PM - INFO - Compile model
+05/04/2018 12:36:49 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:36:49 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.86593388272504]
+05/04/2018 12:37:35 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:37:37 PM - INFO - Generation average: 87.82%
+05/04/2018 12:37:37 PM - INFO - --------------------------------------------------------------------------------
+05/04/2018 12:37:37 PM - INFO - ***Doing generation 4 of 7***
+05/04/2018 12:37:37 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:37:37 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:37:39 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:37:39 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:37:39 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:37:39 PM - INFO - Creating new RobustScaler
+05/04/2018 12:37:39 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:37:39 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:37:39 PM - INFO - Training and test data transformed
+05/04/2018 12:37:39 PM - INFO - Train model
+05/04/2018 12:37:39 PM - INFO - Using SGD(**{'lr': 0.1, 'momentum': 1.0, 'decay': 0.01}) as Optimizer
+05/04/2018 12:37:39 PM - INFO - Compile model
+05/04/2018 12:37:39 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:37:39 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.865933882725024]
+05/04/2018 12:40:07 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:40:11 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:40:11 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:40:13 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:40:13 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:40:13 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:40:13 PM - INFO - Creating new RobustScaler
+05/04/2018 12:40:13 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:40:13 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:40:13 PM - INFO - Training and test data transformed
+05/04/2018 12:40:13 PM - INFO - Train model
+05/04/2018 12:40:13 PM - INFO - Using SGD(**{'lr': 0.5, 'momentum': 1.0, 'decay': 0.01}) as Optimizer
+05/04/2018 12:40:13 PM - INFO - Compile model
+05/04/2018 12:40:13 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:40:13 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.865933882725024]
+05/04/2018 12:42:41 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:42:45 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:42:45 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:42:47 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:42:47 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:42:47 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:42:47 PM - INFO - Creating new RobustScaler
+05/04/2018 12:42:47 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:42:47 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:42:47 PM - INFO - Training and test data transformed
+05/04/2018 12:42:47 PM - INFO - Train model
+05/04/2018 12:42:47 PM - INFO - Using SGD(**{'lr': 0.5, 'momentum': 1.0, 'decay': 0.01}) as Optimizer
+05/04/2018 12:42:47 PM - INFO - Compile model
+05/04/2018 12:42:47 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:42:47 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.865933882725024]
+05/04/2018 12:45:17 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:45:21 PM - INFO - Generation average: 97.10%
+05/04/2018 12:45:21 PM - INFO - --------------------------------------------------------------------------------
+05/04/2018 12:45:21 PM - INFO - ***Doing generation 5 of 7***
+05/04/2018 12:45:21 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:45:21 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:45:23 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:45:23 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:45:23 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:45:23 PM - INFO - Creating new RobustScaler
+05/04/2018 12:45:23 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:45:23 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:45:23 PM - INFO - Training and test data transformed
+05/04/2018 12:45:23 PM - INFO - Train model
+05/04/2018 12:45:23 PM - INFO - Using SGD(**{'lr': 0.1, 'momentum': 1.0, 'decay': 1e-05}) as Optimizer
+05/04/2018 12:45:23 PM - INFO - Compile model
+05/04/2018 12:45:23 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:45:23 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.86593388272505]
+05/04/2018 12:47:54 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:47:59 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:47:59 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:48:00 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:48:00 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:48:00 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:48:00 PM - INFO - Creating new RobustScaler
+05/04/2018 12:48:00 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:48:00 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:48:00 PM - INFO - Training and test data transformed
+05/04/2018 12:48:00 PM - INFO - Train model
+05/04/2018 12:48:00 PM - INFO - Using SGD(**{'lr': 0.5, 'momentum': 1.0, 'decay': 1e-05}) as Optimizer
+05/04/2018 12:48:00 PM - INFO - Compile model
+05/04/2018 12:48:00 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:48:00 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.865933882725024]
+05/04/2018 12:49:05 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:49:10 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:49:10 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:49:11 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:49:11 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:49:11 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:49:11 PM - INFO - Creating new RobustScaler
+05/04/2018 12:49:11 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:49:11 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:49:11 PM - INFO - Training and test data transformed
+05/04/2018 12:49:11 PM - INFO - Train model
+05/04/2018 12:49:11 PM - INFO - Using SGD(**{'lr': 0.1, 'momentum': 1.0, 'decay': 1e-05}) as Optimizer
+05/04/2018 12:49:11 PM - INFO - Compile model
+05/04/2018 12:49:11 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:49:11 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.86593388272504]
+05/04/2018 12:49:25 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:49:27 PM - INFO - Generation average: 97.10%
+05/04/2018 12:49:27 PM - INFO - --------------------------------------------------------------------------------
+05/04/2018 12:49:27 PM - INFO - ***Doing generation 6 of 7***
+05/04/2018 12:49:27 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:49:27 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:49:28 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:49:28 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:49:28 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:49:28 PM - INFO - Creating new RobustScaler
+05/04/2018 12:49:28 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:49:28 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:49:28 PM - INFO - Training and test data transformed
+05/04/2018 12:49:28 PM - INFO - Train model
+05/04/2018 12:49:28 PM - INFO - Using SGD(**{'lr': 0.5, 'momentum': 1.0, 'decay': 1e-05}) as Optimizer
+05/04/2018 12:49:28 PM - INFO - Compile model
+05/04/2018 12:49:28 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:49:28 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.865933882725024]
+05/04/2018 12:50:45 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:50:50 PM - INFO - Generation average: 97.10%
+05/04/2018 12:50:50 PM - INFO - --------------------------------------------------------------------------------
+05/04/2018 12:50:50 PM - INFO - ***Doing generation 7 of 7***
+05/04/2018 12:50:50 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:50:50 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:50:51 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:50:51 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:50:51 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:50:51 PM - INFO - Creating new RobustScaler
+05/04/2018 12:50:51 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:50:51 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:50:51 PM - INFO - Training and test data transformed
+05/04/2018 12:50:51 PM - INFO - Train model
+05/04/2018 12:50:51 PM - INFO - Using SGD(**{'lr': 1.0, 'momentum': 1.0, 'decay': 0.01}) as Optimizer
+05/04/2018 12:50:51 PM - INFO - Compile model
+05/04/2018 12:50:51 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:50:51 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.865933882725024]
+05/04/2018 12:53:28 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:53:34 PM - INFO - Trying to load x_train from ./outputs/x_train.h5
+05/04/2018 12:53:34 PM - INFO - Couldn't load all datasets - reading from ROOT trees
+05/04/2018 12:53:35 PM - DEBUG - training data before transformation: [[369.8166   236.10608 ]
+ [217.16876  348.09952 ]
+ [395.43085  142.5729  ]
+ ...
+ [223.76315  101.57288 ]
+ [561.4382    47.980972]
+ [200.53334   70.21298 ]]
+05/04/2018 12:53:35 PM - DEBUG - minimum values: [200.00388, 0.00040848268]
+05/04/2018 12:53:35 PM - DEBUG - maximum values: [5745.249, 6567.212]
+05/04/2018 12:53:35 PM - INFO - Creating new RobustScaler
+05/04/2018 12:53:35 PM - INFO - Fitting RobustScaler to training data
+05/04/2018 12:53:35 PM - DEBUG - training data after transformation: [[ 0.7659683   3.400636  ]
+ [-0.44083464  5.5718575 ]
+ [ 0.9684695   1.5873041 ]
+ ...
+ [-0.38870072  0.79243493]
+ [ 2.28089    -0.24655382]
+ [-0.5723509   0.18445913]]
+05/04/2018 12:53:35 PM - INFO - Training and test data transformed
+05/04/2018 12:53:35 PM - INFO - Train model
+05/04/2018 12:53:36 PM - INFO - Using SGD(**{'lr': 0.1, 'momentum': 1.0, 'decay': 1e-05}) as Optimizer
+05/04/2018 12:53:36 PM - INFO - Compile model
+05/04/2018 12:53:36 PM - INFO - No weights found, starting completely new model
+05/04/2018 12:53:36 PM - DEBUG - Calculated class_weight: [0.5045154119594469, 55.865933882725024]
+05/04/2018 12:56:01 PM - INFO - Get test loss and metrics of the model
+05/04/2018 12:56:05 PM - INFO - Generation average: 97.10%
+05/04/2018 12:56:05 PM - INFO - --------------------------------------------------------------------------------
+05/04/2018 12:56:05 PM - INFO - --------------------------------------------------------------------------------
+05/04/2018 12:56:05 PM - INFO - {'decay': 0.01, 'activation': 'relu', 'nb_neurons': 1024, 'lr': 0.1, 'nb_layers': 3, 'momentum': 1.0}
+05/04/2018 12:56:05 PM - INFO - Network accuracy: 97.10%
+05/04/2018 12:56:05 PM - INFO - {'decay': 1e-05, 'activation': 'relu', 'nb_neurons': 1024, 'lr': 0.5, 'nb_layers': 3, 'momentum': 1.0}
+05/04/2018 12:56:05 PM - INFO - Network accuracy: 97.10%
+05/04/2018 12:56:05 PM - INFO - {'decay': 1e-05, 'activation': 'relu', 'nb_neurons': 1024, 'lr': 0.5, 'nb_layers': 3, 'momentum': 1.0}
+05/04/2018 12:56:05 PM - INFO - Network accuracy: 97.10%
+05/04/2018 12:56:05 PM - INFO - {'decay': 0.01, 'activation': 'relu', 'nb_neurons': 1024, 'lr': 1.0, 'nb_layers': 3, 'momentum': 1.0}
+05/04/2018 12:56:05 PM - INFO - Network accuracy: 97.10%
+05/04/2018 12:56:05 PM - INFO - {'decay': 1e-05, 'activation': 'relu', 'nb_neurons': 1024, 'lr': 0.1, 'nb_layers': 3, 'momentum': 1.0}
+05/04/2018 12:56:05 PM - INFO - Network accuracy: 97.10%
diff --git a/Genetic_Algorithm/main.py b/Genetic_Algorithm/main.py
index 074a7c1b28a6a4a2c62f0d3a2f79d6937aae040e..c1a293b195f3f72a834fd16058154f6aadc7e5d0 100755
--- a/Genetic_Algorithm/main.py
+++ b/Genetic_Algorithm/main.py
@@ -91,15 +91,23 @@ def print_networks(networks):
 
 def main():
     """Evolve a network."""
-    generations = 10  # Number of times to evole the population.
-    population = 20  # Number of networks in each generation.
+    generations = 7  # Number of times to evolve the population.
+    population = 5  # Number of networks in each generation.
 
     nn_param_choices = {
-        'nb_neurons': [64, 128, 256, 512, 768, 1024],
-        'nb_layers': [1, 2, 3, 4],
+        'nb_neurons': [8, 16, 32, 64, 128, 256, 512, 768, 1024],
+        'nb_layers': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
         'activation': ['relu', 'elu', 'tanh', 'sigmoid'],
-        'optimizer': ['rmsprop', 'adam', 'sgd', 'adagrad',
-                      'adadelta', 'adamax', 'nadam'],
+        #'optimizer': ['rmsprop', 'adam', 'sgd', 'adagrad',
+        #              'adadelta', 'adamax', 'nadam'],
+        #'optimizer_opts': {'lr': [0.1, 0.5, 1.0, 10.0, 100.0],
+        #                    'decay': [1e-1, 1e-2, 1e-3, 1e-4, 1e-5, 1e-6, 1e-7],
+        #                    'momentum': [0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7,
+        #                        0.8, 0.9, 1.0]},
+        'lr': [0.1, 0.5, 1.0, 10.0, 100.0],
+        'decay': [1e-1, 1e-2, 1e-3, 1e-4, 1e-5, 1e-6, 1e-7],
+        'momentum': [0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]
+
     }
 
     logging.info("***Evolving %d generations with population %d***" %
diff --git a/Genetic_Algorithm/network.py b/Genetic_Algorithm/network.py
index 03f90d8d695feb35ba1092687919b64ea3036677..c10fd0af8868c003865ac5e05e0b43d55c325a37 100755
--- a/Genetic_Algorithm/network.py
+++ b/Genetic_Algorithm/network.py
@@ -20,6 +20,7 @@ class Network(object):
                 nb_layers (list): [1, 2, 3, 4]
                 activation (list): ['relu', 'elu']
                 optimizer (list): ['rmsprop', 'adam']
+                optimizer_opts (dict(list)): {'lr': [0.5, ...], 'decay', ...}
         """
         self.accuracy = 0.
         self.nn_param_choices = nn_param_choices
diff --git a/Genetic_Algorithm/train.py b/Genetic_Algorithm/train.py
index 4faac3482b302a77ebf17ba23eeb3f1a694d218f..4018b05ef3671bf0c0bada8397e92e082f72cdf4 100755
--- a/Genetic_Algorithm/train.py
+++ b/Genetic_Algorithm/train.py
@@ -12,21 +12,29 @@ def init_model(network):
     nb_layers = network['nb_layers']
     nb_neurons = network['nb_neurons']
     activation = network['activation']
-    optimizer = network['optimizer']
+   # optimizer = network['optimizer']
+    lr = network['lr']
+    decay = network['decay']
+    momentum = network['momentum']
 
     filename = "/project/etp4/nhartmann/trees/allTrees_m1.8_NoSys.root"
     
     c = KerasROOTClassification("",
-                                signal_trees = [(filename, "GG_oneStep_1705_1105_505_NoSys")],
+                                signal_trees = [(filename, "GG_oneStep_1545_1265_985_NoSys")],
                                 bkg_trees = [(filename, "ttbar_NoSys"),
-                                             (filename, "wjets_Sherpa221_NoSys")
+                                     (filename, "wjets_Sherpa221_NoSys"),
+                                     (filename, "zjets_Sherpa221_NoSys"),
+                                     (filename, "diboson_Sherpa221_NoSys"),
+                                     (filename, "ttv_NoSys"),
+                                     (filename, "singletop_NoSys")
                                 ],
                                 dumping_enabled=False,
-                                optimizer=optimizer,
+                                optimizer="SGD",
                                 layers=nb_layers,
                                 nodes=nb_neurons,
                                 activation_function=activation,
-                                #optimizer_opts=dict(lr=100., decay=1e-6, momentum=0.9),
+                                optimizer_opts=dict(lr=lr, decay=decay,
+                                    momentum=momentum),
                                 earlystopping_opts=dict(monitor='val_loss',
                                     min_delta=0, patience=2, verbose=0, mode='auto'),
                                 # optimizer="Adam",
@@ -40,7 +48,7 @@ def init_model(network):
 def train_and_score(network):
     model = init_model(network)
 
-    model.train()
+    model.train(epochs=20)
 
     score = model.score
 
diff --git a/toolkit.py b/toolkit.py
index 286e3cf74adb3f1948511250ee1c07b2ac62492d..bf0a52f79222d1896161d2eecfd7c782de03d481 100755
--- a/toolkit.py
+++ b/toolkit.py
@@ -401,9 +401,10 @@ class KerasROOTClassification(object):
     def train(self, epochs=10):
 
         self.load()
-
-        for branch_index, branch in enumerate(self.branches):
-            self.plot_input(branch_index)
+        
+        if self.dumping_enabled:
+            for branch_index, branch in enumerate(self.branches):
+                self.plot_input(branch_index)
 
         self.total_epochs = self._read_info("epochs", 0)
 
@@ -435,9 +436,9 @@ class KerasROOTClassification(object):
             self.total_epochs += epochs
             self._write_info("epochs", self.total_epochs)
 
-        logger.info("Create/Update predictions for ROC curve")
-        self.pred_test = self.model.predict(self.x_test)
-        self.pred_train = self.model.predict(self.x_train)
+        #logger.info("Create/Update predictions for ROC curve")
+        #self.pred_test = self.model.predict(self.x_test)
+        #self.pred_train = self.model.predict(self.x_train)
 
         logger.info("Get test loss and metrics of the model")
         self.score = self.model.evaluate(self.x_test, self.y_test, verbose=0, sample_weight=None)
@@ -595,11 +596,12 @@ def create_setter(dataset_name):
         setattr(self, "_"+dataset_name, value)
     return setx
 
+'''
 # define getters and setters for all datasets
 for dataset_name in KerasROOTClassification.dataset_names:
     setattr(KerasROOTClassification, dataset_name, property(create_getter(dataset_name),
                                                             create_setter(dataset_name)))
-
+'''
 
 if __name__ == "__main__":