SToG
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SToG: Stochastic Gating for Feature Selection
SToG
Index
Index
_
|
B
|
C
|
D
|
E
|
F
|
G
|
L
|
M
|
P
|
R
|
S
|
T
_
__init__() (SToG.base.BaseFeatureSelector method)
,
[1]
(SToG.benchmark.ComprehensiveBenchmark method)
,
[1]
,
[2]
(SToG.selectors.CorrelatedSTGLayer method)
,
[1]
,
[2]
(SToG.selectors.GumbelLayer method)
,
[1]
,
[2]
(SToG.selectors.L1Layer method)
,
[1]
,
[2]
(SToG.selectors.STELayer method)
,
[1]
,
[2]
(SToG.selectors.STGLayer method)
,
[1]
,
[2]
(SToG.trainer.FeatureSelectionTrainer method)
,
[1]
,
[2]
B
BaseFeatureSelector (class in SToG.base)
,
[1]
C
compare_with_l1_sklearn() (in module SToG.benchmark)
,
[1]
,
[2]
ComprehensiveBenchmark (class in SToG.benchmark)
,
[1]
,
[2]
CorrelatedSTGLayer (class in SToG.selectors)
,
[1]
,
[2]
create_classification_model() (in module SToG.models)
,
[1]
,
[2]
create_synthetic_correlated() (SToG.datasets.DatasetLoader static method)
,
[1]
,
[2]
,
[3]
create_synthetic_high_dim() (SToG.datasets.DatasetLoader static method)
,
[1]
,
[2]
,
[3]
D
DatasetLoader (class in SToG.datasets)
,
[1]
,
[2]
E
evaluate() (SToG.trainer.FeatureSelectionTrainer method)
,
[1]
,
[2]
evaluate_method() (SToG.benchmark.ComprehensiveBenchmark method)
,
[1]
,
[2]
F
FeatureSelectionTrainer (class in SToG.trainer)
,
[1]
,
[2]
fit() (SToG.trainer.FeatureSelectionTrainer method)
,
[1]
,
[2]
forward() (SToG.base.BaseFeatureSelector method)
,
[1]
(SToG.selectors.CorrelatedSTGLayer method)
,
[1]
,
[2]
(SToG.selectors.GumbelLayer method)
,
[1]
,
[2]
(SToG.selectors.L1Layer method)
,
[1]
,
[2]
(SToG.selectors.STELayer method)
,
[1]
,
[2]
(SToG.selectors.STGLayer method)
,
[1]
,
[2]
G
get_selected_features() (SToG.base.BaseFeatureSelector method)
,
[1]
(SToG.selectors.L1Layer method)
,
[1]
,
[2]
get_selection_probs() (SToG.base.BaseFeatureSelector method)
,
[1]
(SToG.selectors.CorrelatedSTGLayer method)
,
[1]
,
[2]
(SToG.selectors.GumbelLayer method)
,
[1]
,
[2]
(SToG.selectors.L1Layer method)
,
[1]
,
[2]
(SToG.selectors.STELayer method)
,
[1]
,
[2]
(SToG.selectors.STGLayer method)
,
[1]
,
[2]
GumbelLayer (class in SToG.selectors)
,
[1]
,
[2]
L
L1Layer (class in SToG.selectors)
,
[1]
,
[2]
load_breast_cancer() (SToG.datasets.DatasetLoader static method)
,
[1]
,
[2]
,
[3]
load_wine() (SToG.datasets.DatasetLoader static method)
,
[1]
,
[2]
,
[3]
M
main() (in module SToG.main)
,
[1]
,
[2]
module
SToG.base
,
[1]
SToG.benchmark
,
[1]
SToG.datasets
,
[1]
SToG.main
,
[1]
SToG.models
,
[1]
SToG.selectors
,
[1]
SToG.trainer
,
[1]
P
print_summary() (SToG.benchmark.ComprehensiveBenchmark method)
,
[1]
,
[2]
R
regularization_loss() (SToG.base.BaseFeatureSelector method)
,
[1]
(SToG.selectors.CorrelatedSTGLayer method)
,
[1]
,
[2]
(SToG.selectors.GumbelLayer method)
,
[1]
,
[2]
(SToG.selectors.L1Layer method)
,
[1]
,
[2]
(SToG.selectors.STELayer method)
,
[1]
,
[2]
(SToG.selectors.STGLayer method)
,
[1]
,
[2]
run_benchmark() (SToG.benchmark.ComprehensiveBenchmark method)
,
[1]
,
[2]
run_single_experiment() (SToG.benchmark.ComprehensiveBenchmark method)
,
[1]
,
[2]
S
set_temperature() (SToG.selectors.GumbelLayer method)
,
[1]
,
[2]
STELayer (class in SToG.selectors)
,
[1]
,
[2]
STGLayer (class in SToG.selectors)
,
[1]
,
[2]
SToG.base
module
,
[1]
SToG.benchmark
module
,
[1]
SToG.datasets
module
,
[1]
SToG.main
module
,
[1]
SToG.models
module
,
[1]
SToG.selectors
module
,
[1]
SToG.trainer
module
,
[1]
T
train_epoch() (SToG.trainer.FeatureSelectionTrainer method)
,
[1]
,
[2]