Commits · aaaf823c107bbaedb7aafa9f0ec52effeea6e4d5 · Nikolai.Hartmann / KerasROOTClassification

Aug 28, 2018
- don't dump DataFrame in ClassificationProjectDataFrame initialisation · aaaf823c
  Nikolai.Hartmann authored 6 years ago
  
  aaaf823c
- option to turn off weight normalisation · 38978a49
  Nikolai.Hartmann authored 6 years ago
  
  38978a49
- fix initialisation of ClassificationProjectDataFrame · 212e886c
  Nikolai.Hartmann authored 6 years ago
  
  212e886c
- option to turn off class weight · 0a1870db
  Nikolai.Hartmann authored 6 years ago
  
  0a1870db
Aug 26, 2018
- take all fps, tps values for significance scan by default · 1c370c32
  Nikolai authored 6 years ago
  
  1c370c32
Aug 23, 2018
- fixing recreation of w_train_tot when reloading · e61e3bf1
  Nikolai authored 6 years ago
  
  e61e3bf1
- Adding support for SimpleRNN · c496862f
  Nikolai.Hartmann authored 6 years ago
  
  c496862f
- put some masking functionality into base class · c77d64ff
  Nikolai authored 6 years ago
  
  c77d64ff
Aug 22, 2018
- adding mask_uniform function · ae3f0148
  Nikolai.Hartmann authored 6 years ago
  
  ae3f0148
- adding functionality to mask values in random events · 4f02d77d
  Nikolai.Hartmann authored 6 years ago
  
  4f02d77d
Aug 21, 2018
- wrote function to transform input back into flat for RNN · 14a7743a
  Nikolai.Hartmann authored 6 years ago
  
  14a7743a
- fixing input_transform · 4405753d
  Nikolai.Hartmann authored 6 years ago
  
  4405753d
- introducing transform member function · 1ad29ff9
  Nikolai.Hartmann authored 6 years ago
  
  1ad29ff9
Aug 20, 2018
- more plotting convenience · 0edb744b
  Nikolai.Hartmann authored 6 years ago
  
  * invert_activation for significance scans * better plotting range for integer variables in plot_input
  0edb744b
- better plot_input · 44a9012c
  Nikolai.Hartmann authored 6 years ago
  
  44a9012c
- invert activation option for plot_score · 29a80bed
  Nikolai.Hartmann authored 6 years ago
  
  29a80bed
- in addition to saving, display plots in interactive mode · f64532c3
  Nikolai.Hartmann authored 6 years ago
  
  f64532c3
- apply total weight where nescessary · c6e649fc
  Nikolai.Hartmann authored 6 years ago
  
  c6e649fc
- fixing skip_activation mode · cf8f14ef
  Nikolai.Hartmann authored 6 years ago
  
  cf8f14ef
- restructure plot_score function · 1fce12f7
  Nikolai authored 6 years ago
  
  1fce12f7
Aug 17, 2018
- wtf · 3ffe2c06
  Eric Schanet authored 6 years ago
  
  Unverified
  
  3ffe2c06
- turn back on division by mean weight · cb83fad4
  Nikolai.Hartmann authored 6 years ago
  
  cb83fad4
- make total weight more consistent · 0c201c50
  Nikolai authored 6 years ago
  
  0c201c50
- option to evaluate before activation · 391e7e92
  Nikolai authored 6 years ago
  
  391e7e92
Aug 16, 2018
- python3 compatibility · 290a8013
  Nikolai authored 6 years ago
  
  290a8013
- model plotting and alternative significance plot · ae824de0
  Nikolai.Hartmann authored 6 years ago
  
  ae824de0
- Improve loading from dir · bf50acf0
  Nikolai.Hartmann authored 6 years ago
  
  * Call _init_from_args instead of init in subclasses * Store project_type variable in ClassificationProjectRNN * Introduce load_from_dir function to automatically choose correct class
  bf50acf0
- normalize weights for default training as well · 4ac1c6b5
  Nikolai authored 6 years ago
  
  4ac1c6b5
- try normalising weights · 6a2f9292
  Nikolai authored 6 years ago
  
  6a2f9292
- put model checkpoint/reload weights into separate function · 46cb66fa
  Nikolai authored 6 years ago
  
  46cb66fa
Aug 15, 2018
- (hopefully) correct treatment of class_weight · c3855055
  Nikolai authored 6 years ago
  
  c3855055
- little fix · d92d5fbc
  Nikolai authored 6 years ago
  
  d92d5fbc
Aug 14, 2018
- load and plot before training RNN · beee5503
  Nikolai.Hartmann authored 6 years ago
  
  beee5503
- fix write_friend_tree · 4c64d916
  Nikolai.Hartmann authored 6 years ago
  
  4c64d916
- evaluate RNN working · 7c1241ff
  Nikolai.Hartmann authored 6 years ago
  
  7c1241ff
- model and training for RNN working · d09ab3d6
  Nikolai.Hartmann authored 6 years ago
  
  d09ab3d6
- data structuring for RNN working · fe84f351
  Nikolai.Hartmann authored 6 years ago
  
  fe84f351
- remove validate and plot all from train · aa3ffe0a
  Nikolai.Hartmann authored 6 years ago
  
  aa3ffe0a
- put score evaluation in separate function · f8a5e443
  Nikolai.Hartmann authored 6 years ago
  
  f8a5e443
- correct quantile range for input plots · b9419f4d
  Nikolai.Hartmann authored 6 years ago
  
  b9419f4d