Index

A

all_to_date() (in module AutoMxL.Preprocessing.Date) AML (class in AutoMxL.__main__) AutoMxL.Explore.Explore (module) AutoMxL.Explore.Features_Type (module) AutoMxL.Modelisation.Bagging (module) AutoMxL.Modelisation.HyperOpt (module)

AutoMxL.Preprocessing.Categorical (module) AutoMxL.Preprocessing.Date (module) AutoMxL.Preprocessing.Missing_Values (module) AutoMxL.Preprocessing.Outliers (module) AutoMxL.Select_Features.Select_Features (module) AutoMxL.Start.Encode_Target (module) AutoMxL.Start.Load (module)

B

bag_feature_importance() (AutoMxL.Modelisation.Bagging.Bagging method)

Bagging (class in AutoMxL.Modelisation.Bagging)

C

CategoricalEncoder (class in AutoMxL.Preprocessing.Categorical)

category_to_target() (in module AutoMxL.Start.Encode_Target) create_sample() (in module AutoMxL.Modelisation.Bagging)

D

date_to_anc() (in module AutoMxL.Preprocessing.Date)

DateEncoder (class in AutoMxL.Preprocessing.Date) dummy_all_var() (in module AutoMxL.Preprocessing.Categorical)

E

explore() (AutoMxL.__main__.AML method) (in module AutoMxL.Explore.Explore)

F

FeatSelector (class in AutoMxL.Select_Features.Select_Features) features_from_type() (in module AutoMxL.Explore.Features_Type) fill_categorical() (in module AutoMxL.Preprocessing.Missing_Values) fill_numerical() (in module AutoMxL.Preprocessing.Missing_Values) fit() (AutoMxL.Modelisation.Bagging.Bagging method) (AutoMxL.Modelisation.HyperOpt.HyperOpt method) (AutoMxL.Preprocessing.Categorical.CategoricalEncoder method) (AutoMxL.Preprocessing.Date.DateEncoder method) (AutoMxL.Preprocessing.Missing_Values.NAEncoder method) (AutoMxL.Preprocessing.Outliers.OutliersEncoder method) (AutoMxL.Select_Features.Select_Features.FeatSelector method)

fit_transform() (AutoMxL.Preprocessing.Categorical.CategoricalEncoder method) (AutoMxL.Preprocessing.Date.DateEncoder method) (AutoMxL.Preprocessing.Missing_Values.NAEncoder method) (AutoMxL.Preprocessing.Outliers.OutliersEncoder method) (AutoMxL.Select_Features.Select_Features.FeatSelector method)

G

get_best_model() (AutoMxL.Modelisation.HyperOpt.HyperOpt method) get_cat_outliers() (in module AutoMxL.Preprocessing.Outliers) get_delimiter() (in module AutoMxL.Start.Load) get_embedded_cat() (in module AutoMxL.Preprocessing.Categorical)

get_features_type() (in module AutoMxL.Explore.Explore) get_NA_features() (in module AutoMxL.Preprocessing.Missing_Values) get_num_outliers() (in module AutoMxL.Preprocessing.Outliers) get_params() (AutoMxL.Modelisation.Bagging.Bagging method) (AutoMxL.Modelisation.HyperOpt.HyperOpt method)

H

HyperOpt (class in AutoMxL.Modelisation.HyperOpt)

I

import_data() (in module AutoMxL.Start.Load) is_boolean() (in module AutoMxL.Explore.Features_Type) is_categorical() (in module AutoMxL.Explore.Features_Type)

is_date() (in module AutoMxL.Explore.Features_Type) is_identifier() (in module AutoMxL.Explore.Features_Type) is_verbatim() (in module AutoMxL.Explore.Features_Type)

L

low_variance_features() (in module AutoMxL.Explore.Explore)

M

model_predict() (AutoMxL.__main__.AML method) model_res_to_df() (AutoMxL.Modelisation.HyperOpt.HyperOpt method)

model_train() (AutoMxL.__main__.AML method) model_train_test() (AutoMxL.__main__.AML method)

N

NAEncoder (class in AutoMxL.Preprocessing.Missing_Values)

O

OutliersEncoder (class in AutoMxL.Preprocessing.Outliers)

P

predict() (AutoMxL.Modelisation.Bagging.Bagging method) (AutoMxL.Modelisation.HyperOpt.HyperOpt method)

preprocess() (AutoMxL.__main__.AML method) preprocess_apply() (AutoMxL.__main__.AML method)

R

range_to_target() (in module AutoMxL.Start.Encode_Target)

replace_category() (in module AutoMxL.Preprocessing.Outliers) replace_extreme_values() (in module AutoMxL.Preprocessing.Outliers)

S

select_features() (AutoMxL.__main__.AML method) (in module AutoMxL.Select_Features.Select_Features)

select_features_apply() (AutoMxL.__main__.AML method)

T

transform() (AutoMxL.Preprocessing.Categorical.CategoricalEncoder method) (AutoMxL.Preprocessing.Date.DateEncoder method) (AutoMxL.Preprocessing.Missing_Values.NAEncoder method) (AutoMxL.Preprocessing.Outliers.OutliersEncoder method) (AutoMxL.Select_Features.Select_Features.FeatSelector method)