Index

C

create_estimator() (easymlpy.core.easy_analysis method) (easymlpy.glmnet.easy_glmnet method) (easymlpy.random_forest.easy_random_forest method) (easymlpy.support_vector_machine.easy_support_vector_machine method)

E

easy_analysis (class in easymlpy.core) easy_glmnet (class in easymlpy.glmnet) easy_random_forest (class in easymlpy.random_forest) easy_support_vector_machine (class in easymlpy.support_vector_machine) easymlpy.core (module) easymlpy.datasets (module) easymlpy.glmnet (module) easymlpy.measure (module) easymlpy.plot (module)

easymlpy.preprocess (module) easymlpy.random_forest (module) easymlpy.resample (module) easymlpy.setters (module) easymlpy.support_vector_machine (module) easymlpy.utils (module) extract_coefficients() (easymlpy.core.easy_analysis method) (easymlpy.glmnet.easy_glmnet method) extract_variable_importances() (easymlpy.core.easy_analysis method) (easymlpy.random_forest.easy_random_forest method)

G

generate_coefficients() (easymlpy.core.easy_analysis method) generate_coefficients_() (easymlpy.core.easy_analysis method) generate_model_performance() (easymlpy.core.easy_analysis method) generate_model_performance_() (easymlpy.core.easy_analysis method)

generate_predictions() (easymlpy.core.easy_analysis method) generate_predictions_() (easymlpy.core.easy_analysis method) generate_variable_importances() (easymlpy.core.easy_analysis method) generate_variable_importances_() (easymlpy.core.easy_analysis method)

L

load_cocaine_dependence() (in module easymlpy.datasets)

load_prostate() (in module easymlpy.datasets)

M

measure_area_under_curve() (in module easymlpy.measure) measure_cor_score() (in module easymlpy.measure)

measure_mean_squared_error() (in module easymlpy.measure) measure_r2_score() (in module easymlpy.measure)

P

plot_coefficients() (easymlpy.glmnet.easy_glmnet method) plot_coefficients_processed() (easymlpy.core.easy_analysis method) plot_model_performance_binomial_area_under_curve() (in module easymlpy.plot) plot_model_performance_gaussian_cor_score() (in module easymlpy.plot) plot_model_performance_gaussian_mean_squared_error() (in module easymlpy.plot) plot_model_performance_gaussian_r2_score() (in module easymlpy.plot) plot_model_performance_test() (easymlpy.core.easy_analysis method) plot_model_performance_train() (easymlpy.core.easy_analysis method) plot_predictions_binomial() (in module easymlpy.plot) plot_predictions_gaussian() (in module easymlpy.plot) plot_predictions_single_train_test_split_test() (easymlpy.core.easy_analysis method) plot_predictions_single_train_test_split_train() (easymlpy.core.easy_analysis method) plot_roc_single_train_test_split() (in module easymlpy.plot)

plot_roc_single_train_test_split_test() (easymlpy.core.easy_analysis method) plot_roc_single_train_test_split_train() (easymlpy.core.easy_analysis method) plot_variable_importances() (easymlpy.random_forest.easy_random_forest method) plot_variable_importances_processed() (easymlpy.core.easy_analysis method) predict_model() (easymlpy.core.easy_analysis method) (easymlpy.glmnet.easy_glmnet method) (easymlpy.random_forest.easy_random_forest method) (easymlpy.support_vector_machine.easy_support_vector_machine method) preprocess_identity() (in module easymlpy.preprocess) preprocess_scale() (in module easymlpy.preprocess) process_coefficients() (easymlpy.core.easy_analysis method) (easymlpy.glmnet.easy_glmnet method) process_variable_importances() (easymlpy.core.easy_analysis method) (easymlpy.random_forest.easy_random_forest method)

R

reduce_cores() (in module easymlpy.utils) remove_variables() (in module easymlpy.utils) resample_fold_train_test_split() (in module easymlpy.resample)

resample_simple_train_test_split() (in module easymlpy.resample) resample_stratified_class_train_test_split() (in module easymlpy.resample) resample_stratified_simple_train_test_split() (in module easymlpy.resample)

S

set_categorical_variables() (in module easymlpy.setters) set_column_names() (in module easymlpy.setters) set_dependent_variable() (in module easymlpy.setters) set_independent_variables() (in module easymlpy.setters) set_measure() (in module easymlpy.setters)

set_parallel() (in module easymlpy.setters) set_plot_model_performance() (in module easymlpy.setters) set_plot_predictions() (in module easymlpy.setters) set_preprocess() (in module easymlpy.setters) set_random_state() (in module easymlpy.setters) set_resample() (in module easymlpy.setters)