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E
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V
B
balance_data() (in module compactem.utils.cv_utils)
C
calculate_RandomForest_complexity() (in module compactem.model_builder.RandomForestClassifier)
check_decisions_multiclass() (in module compactem.model_builder.LarsAndRidge)
compactem
module
,
[1]
compactem.core
module
,
[1]
compactem.core.dp
module
compactem.model_builder
module
,
[1]
compactem.model_builder.base_model
module
compactem.model_builder.DecisionTreeModelBuilder
module
compactem.model_builder.GradientBoostingClassifier
module
compactem.model_builder.LarsAndRidge
module
compactem.model_builder.LinearProbabilityModel
module
compactem.model_builder.RandomForestClassifier
module
compactem.oracles
module
,
[1]
compactem.oracles.oracle_learners
module
compactem.utils
module
,
[1]
compactem.utils.cv_utils
module
compactem.utils.data_format
module
compactem.utils.data_load
module
compactem.utils.utils
module
confidence_from_scaled_decisions() (in module compactem.model_builder.LarsAndRidge)
D
data_split_resolver() (ModelBuilderBase method)
DataInfo (class in compactem.utils.data_format)
decision_function() (LarsAndRidgeBinary method)
DecisionTree (class in compactem.model_builder.DecisionTreeModelBuilder)
E
entropy() (in module compactem.utils.data_load)
(in module compactem.utils.utils)
F
fit() (LarsAndRidgeBinary method)
(LightGBMWrapper method)
(MyLabelBinarizer method)
fit_and_evaluate() (ModelBuilderBase method)
fit_and_select_model() (DecisionTree method)
(GradientBoostingModel method)
(LinearProbabilityModel method)
(ModelBuilderBase method)
(RandomForest method)
fit_baseline_model() (ModelBuilderBase method)
fit_model_within_iteration() (ModelBuilderBase method)
G
generate_cv_indices() (in module compactem.utils.cv_utils)
generic_blackwell_macqueen_sampler() (in module compactem.core.dp)
get_avg_complexity() (DecisionTree method)
(GradientBoostingModel method)
(LinearProbabilityModel method)
(ModelBuilderBase method)
(RandomForest method)
get_balanced_sample_weights() (in module compactem.model_builder.GradientBoostingClassifier)
get_baseline_fit_params() (DecisionTree method)
(GradientBoostingModel method)
(LinearProbabilityModel method)
(ModelBuilderBase method)
(RandomForest method)
get_calibrated_gbm() (in module compactem.oracles.oracle_learners)
get_calibrated_rf() (in module compactem.oracles.oracle_learners)
get_complexity() (DecisionTree method)
(GradientBoostingModel method)
(LinearProbabilityModel method)
(ModelBuilderBase method)
(RandomForest method)
get_complexity_param_range() (DecisionTree static method)
(GradientBoostingModel static method)
(LinearProbabilityModel static method)
(ModelBuilderBase static method)
(RandomForest static method)
get_iteration_fit_params() (DecisionTree method)
(GradientBoostingModel method)
(LinearProbabilityModel method)
(ModelBuilderBase method)
(RandomForest method)
get_label_colormap() (in module compactem.utils.utils)
get_label_colors() (in module compactem.utils.utils)
get_params() (LarsAndRidgeBinary method)
get_train_and_hold_out_splits() (in module compactem.utils.cv_utils)
GradientBoostingModel (class in compactem.model_builder.GradientBoostingClassifier)
I
inverse_transform() (MyLabelBinarizer method)
is_iterable() (in module compactem.utils.utils)
isclose() (in module compactem.utils.utils)
L
LarsAndRidgeBinary (class in compactem.model_builder.LarsAndRidge)
LightGBMWrapper (class in compactem.model_builder.GradientBoostingClassifier)
LinearProbabilityModel (class in compactem.model_builder.LinearProbabilityModel)
load_data() (in module compactem.utils.data_load)
load_data_splits() (ModelBuilderBase method)
M
ModelBuilderBase (class in compactem.model_builder.base_model)
module
compactem
,
[1]
compactem.core
,
[1]
compactem.core.dp
compactem.model_builder
,
[1]
compactem.model_builder.base_model
compactem.model_builder.DecisionTreeModelBuilder
compactem.model_builder.GradientBoostingClassifier
compactem.model_builder.LarsAndRidge
compactem.model_builder.LinearProbabilityModel
compactem.model_builder.RandomForestClassifier
compactem.oracles
,
[1]
compactem.oracles.oracle_learners
compactem.utils
,
[1]
compactem.utils.cv_utils
compactem.utils.data_format
compactem.utils.data_load
compactem.utils.utils
MyLabelBinarizer (class in compactem.utils.utils)
P
pick_best_k() (in module compactem.utils.utils)
predict() (LarsAndRidgeBinary method)
(LightGBMWrapper method)
predict_proba() (LightGBMWrapper method)
R
RandomForest (class in compactem.model_builder.RandomForestClassifier)
robust_train_test_split() (in module compactem.utils.cv_utils)
S
sample_beta() (in module compactem.core.dp)
sample_with_conservative_replacement() (in module compactem.utils.cv_utils)
save_model() (ModelBuilderBase static method)
set_params() (LarsAndRidgeBinary method)
split_integer_into_parts() (in module compactem.utils.cv_utils)
stratified_conservative_sample() (in module compactem.utils.cv_utils)
T
test_LarsAndRidgeBinary_2class() (in module compactem.model_builder.LarsAndRidge)
test_LarsAndRidgeBinary_multiclass() (in module compactem.model_builder.LarsAndRidge)
transform() (MyLabelBinarizer method)
try_basic_functionality() (in module compactem.model_builder.GradientBoostingClassifier)
U
UncertaintyInfo (class in compactem.utils.data_format)
V
validate_dataset_info() (in module compactem.utils.data_format)
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