Index

A

Advanced_Feature_Selection_Classic (class in pycaret.preprocess) assign_model() (in module pycaret.anomaly) (in module pycaret.nlp)

automl() (in module pycaret.regression)

B

Binning (class in pycaret.preprocess)

blend_models() (in module pycaret.regression)

C

Catagorical_variables_With_Rare_levels (class in pycaret.preprocess) Clean_Colum_Names (class in pycaret.preprocess) Cluster_Entire_Data (class in pycaret.preprocess) compare_models() (in module pycaret.regression)

create_model() (in module pycaret.anomaly) (in module pycaret.arules) (in module pycaret.nlp) (in module pycaret.regression) create_stacknet() (in module pycaret.regression)

D

DataTypes_Auto_infer (class in pycaret.preprocess) deploy_model() (in module pycaret.anomaly) (in module pycaret.regression)

DFS_Classic (class in pycaret.preprocess) Dummify (class in pycaret.preprocess)

E

Empty (class in pycaret.preprocess) ensemble_model() (in module pycaret.regression)

evaluate_model() (in module pycaret.nlp) (in module pycaret.regression)

F

finalize_model() (in module pycaret.regression) fit() (pycaret.preprocess.DataTypes_Auto_infer method) (pycaret.preprocess.Fix_multicollinearity method) fit_transform() (pycaret.preprocess.Advanced_Feature_Selection_Classic method) (pycaret.preprocess.Binning method) (pycaret.preprocess.Catagorical_variables_With_Rare_levels method) (pycaret.preprocess.Clean_Colum_Names method) (pycaret.preprocess.Cluster_Entire_Data method) (pycaret.preprocess.DataTypes_Auto_infer method) (pycaret.preprocess.DFS_Classic method) (pycaret.preprocess.Dummify method) (pycaret.preprocess.Empty method) (pycaret.preprocess.Fix_multicollinearity method) (pycaret.preprocess.Group_Similar_Features method) (pycaret.preprocess.Make_NonLiner_Features method) (pycaret.preprocess.Make_Time_Features method) (pycaret.preprocess.New_Catagorical_Levels_in_TestData method) (pycaret.preprocess.Ordinal method) (pycaret.preprocess.Outlier method) (pycaret.preprocess.Reduce_Cardinality_with_Clustering method) (pycaret.preprocess.Reduce_Cardinality_with_Counts method) (pycaret.preprocess.Reduce_Dimensions_For_Supervised_Path method) (pycaret.preprocess.Remove_100 method) (pycaret.preprocess.Scaling_and_Power_transformation method) (pycaret.preprocess.Simple_Imputer method) (pycaret.preprocess.Surrogate_Imputer method) (pycaret.preprocess.Target_Transformation method) (pycaret.preprocess.Zroe_NearZero_Variance method)

Fix_multicollinearity (class in pycaret.preprocess)

G

get_config() (in module pycaret.anomaly) (in module pycaret.nlp) (in module pycaret.regression) get_data() (in module pycaret.datasets) get_logs() (in module pycaret.anomaly) (in module pycaret.nlp) (in module pycaret.regression)

get_outliers() (in module pycaret.anomaly) get_rules() (in module pycaret.arules) get_system_logs() (in module pycaret.anomaly) (in module pycaret.nlp) (in module pycaret.regression) get_topics() (in module pycaret.nlp) Group_Similar_Features (class in pycaret.preprocess)

I

interpret_model() (in module pycaret.regression)

L

load_model() (in module pycaret.anomaly) (in module pycaret.nlp) (in module pycaret.regression)

M

Make_NonLiner_Features (class in pycaret.preprocess) Make_Time_Features (class in pycaret.preprocess) models() (in module pycaret.anomaly) (in module pycaret.nlp) (in module pycaret.regression) module pycaret.anomaly pycaret.arules pycaret.datasets pycaret.nlp pycaret.preprocess pycaret.regression

N

New_Catagorical_Levels_in_TestData (class in pycaret.preprocess)

O

Ordinal (class in pycaret.preprocess)

Outlier (class in pycaret.preprocess)

P

plot_model() (in module pycaret.anomaly) (in module pycaret.arules) (in module pycaret.nlp) (in module pycaret.regression) predict_model() (in module pycaret.anomaly) (in module pycaret.regression) Preprocess_Path_One() (in module pycaret.preprocess) Preprocess_Path_Two() (in module pycaret.preprocess) pycaret.anomaly module

pycaret.arules module pycaret.datasets module pycaret.nlp module pycaret.preprocess module pycaret.regression module

R

Reduce_Cardinality_with_Clustering (class in pycaret.preprocess) Reduce_Cardinality_with_Counts (class in pycaret.preprocess)

Reduce_Dimensions_For_Supervised_Path (class in pycaret.preprocess) Remove_100 (class in pycaret.preprocess)

S

save_model() (in module pycaret.anomaly) (in module pycaret.nlp) (in module pycaret.regression) Scaling_and_Power_transformation (class in pycaret.preprocess) set_config() (in module pycaret.anomaly) (in module pycaret.nlp) (in module pycaret.regression)

setup() (in module pycaret.anomaly) (in module pycaret.arules) (in module pycaret.nlp) (in module pycaret.regression) Simple_Imputer (class in pycaret.preprocess) stack_models() (in module pycaret.regression) Surrogate_Imputer (class in pycaret.preprocess)

T

Target_Transformation (class in pycaret.preprocess) transform() (pycaret.preprocess.DataTypes_Auto_infer method) (pycaret.preprocess.Fix_multicollinearity method)

tune_model() (in module pycaret.anomaly) (in module pycaret.nlp) (in module pycaret.regression)

Z

Zroe_NearZero_Variance (class in pycaret.preprocess)