Index

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__call__() (eBoruta.base.ImportanceGetter method) (eBoruta.callbacks.CallbackClass method) (eBoruta.callbacks.CallbackFN method) (eBoruta.callbacks.CatFeaturesSupplier method) (eBoruta.callbacks.EvalSetSupplier method) (eBoruta.callbacks.IterationAdjuster method) (eBoruta.callbacks.Scorer method) __init__() (eBoruta.algorithm.eBoruta method) (eBoruta.base.Estimator method) (eBoruta.base.ImportanceGetter method) (eBoruta.callbacks.CallbackClass method) (eBoruta.callbacks.CallbackFN method) (eBoruta.callbacks.EvalSetSupplier method) (eBoruta.callbacks.IterationAdjuster method) (eBoruta.callbacks.Scorer method) (eBoruta.containers.Dataset method) (eBoruta.containers.Features method) (eBoruta.containers.TrialData method)

A

accepted (eBoruta.containers.Features property)

accepted_at_step() (eBoruta.containers.Features method) accepted_mask (eBoruta.containers.Features attribute)

C

calculate_importance() (eBoruta.algorithm.eBoruta method) CallbackClass (class in eBoruta.callbacks) CallbackFN (class in eBoruta.callbacks)

CatFeaturesSupplier (class in eBoruta.callbacks) change_params_and_reinit() (in module eBoruta.callbacks) compose_history() (eBoruta.containers.Features method) convert_to_array() (in module eBoruta.utils)

D

Dataset (class in eBoruta.containers)

dec_history (eBoruta.containers.Features attribute)

E

eBoruta module eBoruta (class in eBoruta.algorithm) eBoruta.algorithm module eBoruta.base module

eBoruta.callbacks module eBoruta.containers module eBoruta.utils module Estimator (class in eBoruta.base) EvalSetSupplier (class in eBoruta.callbacks)

F

Features (class in eBoruta.containers)

fit() (eBoruta.algorithm.eBoruta method) (eBoruta.base.Estimator method)

G

generate_trial_sample() (eBoruta.containers.Dataset method)

get_duplicates() (in module eBoruta.utils) get_params() (eBoruta.base.Estimator method)

H

history (eBoruta.containers.Features property)

hit_history (eBoruta.containers.Features attribute)

I

imp_history (eBoruta.containers.Features attribute)

ImportanceGetter (class in eBoruta.base) IterationAdjuster (class in eBoruta.callbacks)

M

melt_history() (eBoruta.containers.Features static method) module eBoruta eBoruta.algorithm eBoruta.base eBoruta.callbacks eBoruta.containers eBoruta.utils

N

names (eBoruta.containers.Features attribute)

P

predict() (eBoruta.base.Estimator method)

R

rank() (eBoruta.algorithm.eBoruta method) reduce_by_fraction() (in module eBoruta.callbacks) rejected (eBoruta.containers.Features property)

rejected_mask (eBoruta.containers.Features attribute) report_features() (eBoruta.algorithm.eBoruta method) reset_history_index() (eBoruta.containers.Features method) rough_fix() (eBoruta.algorithm.eBoruta method)

S

sample_dataset() (in module eBoruta.utils) Scorer (class in eBoruta.callbacks) set_fit_request() (eBoruta.algorithm.eBoruta method) set_transform_request() (eBoruta.algorithm.eBoruta method)

setup_logger() (in module eBoruta.utils) shape (eBoruta.containers.Features property) shapes (eBoruta.containers.TrialData property) stat_tests() (eBoruta.algorithm.eBoruta method)

T

tentative (eBoruta.containers.Features property) tentative_mask (eBoruta.containers.Features attribute)

transform() (eBoruta.algorithm.eBoruta method) TrialData (class in eBoruta.containers)

V

ValidationError

W

w (eBoruta.containers.Dataset property)

w_test (eBoruta.containers.TrialData attribute) w_train (eBoruta.containers.TrialData attribute)

X

x (eBoruta.containers.Dataset property)

x_test (eBoruta.containers.TrialData attribute) x_train (eBoruta.containers.TrialData attribute)

Y

y (eBoruta.containers.Dataset property)

y_test (eBoruta.containers.TrialData attribute) y_train (eBoruta.containers.TrialData attribute)

Z

zip_partition() (in module eBoruta.utils)