Index

_

__init__() (flows.flows.Flows method) (preprocessing.data_explorer.ExploreData method) (preprocessing.data_type_detector.ColumnDataFormat method) (training.validator.StructureValidation method) (visualization.visualization.CompareStatistics method)

A

apply_normalize_feature() (in module preprocessing.json_preprocessor)

C

categorical_or_numeric() (preprocessing.data_type_detector.ColumnDataFormat method) check_feature_valid() (visualization.visualization.CompareStatistics method) column_validation() (in module preprocessing.json_preprocessor) ColumnDataFormat (class in preprocessing.data_type_detector) combine_columns() (in module preprocessing.json_preprocessor)

combine_new_data_to_original() (in module preprocessing.json_preprocessor) compare_statistics() (in module visualization.visualization) compare_statistics_function() (visualization.visualization.CompareStatistics method) CompareStatistics (class in visualization.visualization) comparing_statistics() (flows.flows.Flows static method) create_model_directory() (in module training.utils)

D

data_explore() (preprocessing.data_explorer.ExploreData method) detect_column_types() (in module preprocessing.data_type_detector) detect_columns_types_summary() (in module preprocessing.data_type_detector)

drop_columns_constant_values() (flows.flows.Flows method) drop_const_columns() (in module preprocessing.data_clean) drop_corr_columns() (in module preprocessing.data_clean) drop_correlated_columns() (flows.flows.Flows method)

E

encode_categorical_feature() (flows.flows.Flows method) encode_categorical_features() (in module preprocessing.data_transformer) encoding_categorical_feature() (in module preprocessing.data_transformer) encoding_features() (in module feature_engineering.feature_generator) evaluate_model() (in module training.model_evaluator)

explore_data() (in module preprocessing.data_explorer) explore_missing_values() (in module visualization.visualization) ExploreData (class in preprocessing.data_explorer) exploring_data() (flows.flows.Flows static method) extract_json_from_list_dict() (in module preprocessing.json_preprocessor) extract_json_objects() (in module preprocessing.json_preprocessor)

F

feature_engineering.feature_generator (module) feature_with_json_detector() (in module preprocessing.json_preprocessor) features_encoding() (flows.flows.Flows method) features_validator() (training.validator.StructureValidation method) find_date_columns() (preprocessing.data_type_detector.ColumnDataFormat method)

flat_json() (in module preprocessing.json_preprocessor) flatten_json_data() (flows.flows.Flows method) Flows (class in flows.flows) flows.flows (module) flows.utils (module)

G

get_best_alpha_kfold() (in module training.optimizer) get_best_alpha_split() (in module training.optimizer)

get_num_round() (in module training.xgboost_train) guidance() (flows.flows.Flows method)

H

histogram() (in module visualization.visualization)

I

input_parameters_extraction() (in module training.utils)

J

json_detector() (preprocessing.data_type_detector.ColumnDataFormat method)

L

load_all_models() (in module training.model_evaluator)

load_data() (flows.flows.Flows method)

M

model_prediction() (in module prediction.model_predictor)

model_training() (in module training.training)

N

normalize_feature() (in module preprocessing.json_preprocessor)

number_or_string() (preprocessing.data_type_detector.ColumnDataFormat method)

P

parameters_validator() (in module training.validator) predict_unseen_data() (in module prediction.model_predictor) prediction.model_predictor (module) preprocessing.data_clean (module) preprocessing.data_explorer (module)

preprocessing.data_transformer (module) preprocessing.data_type_detector (module) preprocessing.json_preprocessor (module) preprocessing.utils (module) print_repeated_values() (in module preprocessing.data_explorer)

R

read_data() (in module preprocessing.utils)

read_kfold_config() (in module training.utils)

S

save_model_locally() (in module training.utils) scale_data() (flows.flows.Flows method)

split_dataset() (in module training.utils) standard_scale_numeric_features() (in module preprocessing.data_transformer) StructureValidation (class in training.validator)

T

train_with_kfold_cross_validation() (in module training.training) train_with_n_split() (in module training.training) training() (flows.flows.Flows method) training.model_evaluator (module) training.optimizer (module) training.training (module)

training.utils (module) training.validator (module) training.xgboost_train (module) training_for_optimizing() (in module training.optimizer) training_xgboost_kfold() (in module training.xgboost_train) training_xgboost_n_split() (in module training.xgboost_train)

U

unify_dataframes() (in module flows.utils)

update_data_summary() (flows.flows.Flows method)

V

valid_features_detector() (in module feature_engineering.feature_generator) validate_data() (training.validator.StructureValidation method) validate_main_keys() (training.validator.StructureValidation method) validate_metrics() (training.validator.StructureValidation method)

validate_model() (training.validator.StructureValidation method) validate_predict() (training.validator.StructureValidation method) validate_split() (training.validator.StructureValidation method) visualization.visualization (module)

X

xgboost_data_preparation() (in module training.xgboost_train) xgboost_data_preparation_for_evaluation() (in module training.xgboost_train)

xgboost_data_preparation_to_predict() (in module training.xgboost_train) xgboost_regression_train() (in module training.xgboost_train)