optimal-classification-cutoffs
Theory and Background
optimal-classification-cutoffs
Index
Index
_
|
A
|
C
|
F
|
G
|
H
|
I
|
M
|
N
|
O
|
P
|
R
|
S
|
T
_
__init__() (optimal_cutoffs.wrapper.ThresholdOptimizer method)
A
accuracy_score() (in module optimal_cutoffs.metrics)
C
cv_threshold_optimization() (in module optimal_cutoffs.cv)
F
f1_score() (in module optimal_cutoffs.metrics)
fit() (optimal_cutoffs.wrapper.ThresholdOptimizer method)
G
get_confusion_matrix() (in module optimal_cutoffs.metrics)
get_multiclass_confusion_matrix() (in module optimal_cutoffs.metrics)
get_optimal_multiclass_thresholds() (in module optimal_cutoffs.optimizers)
get_optimal_threshold() (in module optimal_cutoffs.optimizers)
get_probability() (in module optimal_cutoffs.optimizers)
get_vectorized_metric() (in module optimal_cutoffs.metrics)
H
has_vectorized_implementation() (in module optimal_cutoffs.metrics)
I
is_piecewise_metric() (in module optimal_cutoffs.metrics)
M
module
optimal_cutoffs.cv
optimal_cutoffs.metrics
optimal_cutoffs.optimizers
optimal_cutoffs.wrapper
multiclass_metric() (in module optimal_cutoffs.metrics)
N
needs_probability_scores() (in module optimal_cutoffs.metrics)
nested_cv_threshold_optimization() (in module optimal_cutoffs.cv)
O
optimal_cutoffs.cv
module
optimal_cutoffs.metrics
module
optimal_cutoffs.optimizers
module
optimal_cutoffs.wrapper
module
P
precision_score() (in module optimal_cutoffs.metrics)
predict() (optimal_cutoffs.wrapper.ThresholdOptimizer method)
R
recall_score() (in module optimal_cutoffs.metrics)
register_metric() (in module optimal_cutoffs.metrics)
register_metrics() (in module optimal_cutoffs.metrics)
S
should_maximize_metric() (in module optimal_cutoffs.metrics)
T
ThresholdOptimizer (class in optimal_cutoffs.wrapper)