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Nikolai.Hartmann
KerasROOTClassification
Commits
f205e49d
Commit
f205e49d
authored
6 years ago
by
Nikolai.Hartmann
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scaling hists for input plots by class weight instead of multiplying to sample weights
parent
9879ac31
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1
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1 changed file
toolkit.py
+17
-34
17 additions, 34 deletions
toolkit.py
with
17 additions
and
34 deletions
toolkit.py
+
17
−
34
View file @
f205e49d
...
...
@@ -198,8 +198,6 @@ class KerasROOTClassification(object):
self
.
_scaler
=
None
self
.
_class_weight
=
None
self
.
_bkg_weights
=
None
self
.
_sig_weights
=
None
self
.
_model
=
None
self
.
_history
=
None
self
.
_callbacks_list
=
[]
...
...
@@ -586,34 +584,12 @@ class KerasROOTClassification(object):
pass
@property
def
bkg_weights
(
self
):
"""
class weights multiplied by event weights (for plotting)
TODO: find a better way to do this
"""
if
self
.
_bkg_weights
is
None
:
logger
.
debug
(
"
Calculating background weights for plotting
"
)
self
.
_bkg_weights
=
np
.
empty
(
sum
(
self
.
y_train
==
0
))
self
.
_bkg_weights
.
fill
(
self
.
class_weight
[
0
])
self
.
_bkg_weights
*=
self
.
w_train
[
self
.
y_train
==
0
]
logger
.
debug
(
"
Background weights: {}
"
.
format
(
self
.
_bkg_weights
))
return
self
.
_bkg_weights
@property
def
sig_weights
(
self
):
"""
class weights multiplied by event weights (for plotting)
TODO: find a better way to do this
"""
if
self
.
_sig_weights
is
None
:
logger
.
debug
(
"
Calculating signal weights for plotting
"
)
self
.
_sig_weights
=
np
.
empty
(
sum
(
self
.
y_train
==
1
))
self
.
_sig_weights
.
fill
(
self
.
class_weight
[
1
])
self
.
_sig_weights
*=
self
.
w_train
[
self
.
y_train
==
1
]
logger
.
debug
(
"
Signal weights: {}
"
.
format
(
self
.
_sig_weights
))
return
self
.
_sig_weights
@staticmethod
def
get_bin_centered_hist
(
x
,
scale_factor
=
None
,
**
np_kwargs
):
hist
,
bins
=
np
.
histogram
(
x
,
**
np_kwargs
)
centers
=
(
bins
[:
-
1
]
+
bins
[
1
:])
/
2
hist
*=
scale_factor
return
centers
,
hist
def
plot_input
(
self
,
var_index
):
...
...
@@ -622,6 +598,8 @@ class KerasROOTClassification(object):
fig
,
ax
=
plt
.
subplots
()
bkg
=
self
.
x_train
[:,
var_index
][
self
.
y_train
==
0
]
sig
=
self
.
x_train
[:,
var_index
][
self
.
y_train
==
1
]
bkg_weights
=
self
.
w_train
[
self
.
y_train
==
0
]
sig_weights
=
self
.
w_train
[
self
.
y_train
==
1
]
logger
.
debug
(
"
Plotting bkg (min={}, max={}) from {}
"
.
format
(
np
.
min
(
bkg
),
np
.
max
(
bkg
),
bkg
))
logger
.
debug
(
"
Plotting sig (min={}, max={}) from {}
"
.
format
(
np
.
min
(
sig
),
np
.
max
(
sig
),
sig
))
...
...
@@ -635,14 +613,19 @@ class KerasROOTClassification(object):
logger
.
debug
(
"
Calculated range based on percentiles: {}
"
.
format
(
plot_range
))
try
:
ax
.
hist
(
bk
g
,
color
=
"
b
"
,
alpha
=
0.5
,
bins
=
50
,
range
=
plot_range
,
weights
=
s
elf
.
bk
g_weights
)
ax
.
hist
(
si
g
,
color
=
"
r
"
,
alpha
=
0.5
,
bins
=
50
,
range
=
plot_range
,
weights
=
self
.
si
g_weights
)
centers_sig
,
hist_sig
=
self
.
get_bin_centered_
hist
(
si
g
,
scale_factor
=
self
.
class_weight
[
1
]
,
bins
=
50
,
range
=
plot_range
,
weights
=
s
i
g_weights
)
centers_bkg
,
hist_bkg
=
self
.
get_bin_centered_
hist
(
bk
g
,
scale_factor
=
self
.
class_weight
[
0
]
,
bins
=
50
,
range
=
plot_range
,
weights
=
bk
g_weights
)
except
ValueError
:
# weird, probably not always working workaround for a numpy bug
plot_range
=
(
float
(
"
{:.2f}
"
.
format
(
plot_range
[
0
])),
float
(
"
{:.2f}
"
.
format
(
plot_range
[
1
])))
logger
.
warn
(
"
Got a value error during plotting, maybe this is due to a numpy bug - changing range to {}
"
.
format
(
plot_range
))
ax
.
hist
(
bkg
,
color
=
"
b
"
,
alpha
=
0.5
,
bins
=
50
,
range
=
plot_range
,
weights
=
self
.
bkg_weights
)
ax
.
hist
(
sig
,
color
=
"
r
"
,
alpha
=
0.5
,
bins
=
50
,
range
=
plot_range
,
weights
=
self
.
sig_weights
)
centers_sig
,
hist_sig
=
self
.
get_bin_centered_hist
(
sig
,
scale_factor
=
self
.
class_weight
[
1
],
bins
=
50
,
range
=
plot_range
,
weights
=
sig_weights
)
centers_bkg
,
hist_bkg
=
self
.
get_bin_centered_hist
(
bkg
,
scale_factor
=
self
.
class_weight
[
0
],
bins
=
50
,
range
=
plot_range
,
weights
=
bkg_weights
)
width
=
centers_sig
[
1
]
-
centers_sig
[
0
]
ax
.
bar
(
centers_bkg
,
hist_bkg
,
color
=
"
b
"
,
alpha
=
0.5
,
width
=
width
)
ax
.
bar
(
centers_sig
,
hist_sig
,
color
=
"
r
"
,
alpha
=
0.5
,
width
=
width
)
ax
.
set_xlabel
(
branch
+
"
(transformed)
"
)
plot_dir
=
os
.
path
.
join
(
self
.
project_dir
,
"
plots
"
)
if
not
os
.
path
.
exists
(
plot_dir
):
...
...
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