Index

_

_abc_impl (CatBoostPlugin attribute) (CatBoostRegressorPlugin attribute) (Categorical attribute) (ClassifierPlugin attribute), [1] (EMPlugin attribute) (Float attribute) (GainPlugin attribute) (Hooks attribute) (ImputerPlugin attribute), [1] (Integer attribute) (KNeighborsClassifierPlugin attribute) (KNeighborsRegressorPlugin attribute) (LinearRegressionPlugin attribute) (LogisticRegressionPlugin attribute) (MeanPlugin attribute) (MedianPlugin attribute) (MicePlugin attribute) (MiraclePlugin attribute) (MIWAEPlugin attribute) (MLPRegressionPlugin attribute) (MostFrequentPlugin attribute) (NeuralNetsPlugin attribute) (NeuralNetsRegressionPlugin attribute) (NopPlugin attribute) (Params attribute) (Plugin attribute) (PredictionPlugin attribute), [1] (RandomForestPlugin attribute) (RandomForestRegressionPlugin attribute) (RegressionPlugin attribute), [1] (SKLearnIterativeChainedEquationsPlugin attribute) (SKLearnMissForestPlugin attribute) (SoftImputePlugin attribute) (SVCPlugin attribute) (SVMPlugin attribute) (XGBoostPlugin attribute) (XGBoostRegressorPlugin attribute) _add_version() (in module hyperimpute.utils.serialization) _approximate_shrink_val() (SoftImpute method) _backward_hooks (BasicNet attribute), [1] _buffers (BasicNet attribute), [1] _check_tensor() (BasicNet method), [1] _check_version() (in module hyperimpute.utils.serialization) _converged() (EM method) (SoftImpute method) _em() (EM method) _fit() (CatBoostPlugin method) (CatBoostRegressorPlugin method) (EMPlugin method) (GainPlugin method) (KNeighborsClassifierPlugin method) (KNeighborsRegressorPlugin method) (LinearRegressionPlugin method) (LogisticRegressionPlugin method) (MeanPlugin method) (MedianPlugin method) (MicePlugin method) (MiraclePlugin method) (MIWAEPlugin method) (MLPRegressionPlugin method) (MostFrequentPlugin method) (NeuralNetsPlugin method) (NeuralNetsRegressionPlugin method) (NopPlugin method) (Plugin method) (RandomForestPlugin method) (RandomForestRegressionPlugin method) (SKLearnIterativeChainedEquationsPlugin method) (SKLearnMissForestPlugin method) (SoftImputePlugin method) (SVCPlugin method) (SVMPlugin method) (XGBoostPlugin method) (XGBoostRegressorPlugin method)

_forward_hooks (BasicNet attribute), [1] _forward_pre_hooks (BasicNet attribute), [1] _get_seed_imputer() (MiraclePlugin method) _impute_em() (EM method) _is_full_backward_hook (BasicNet attribute), [1] _load_single_plugin() (PluginLoader method) _load_state_dict_post_hooks (BasicNet attribute), [1] _load_state_dict_pre_hooks (BasicNet attribute), [1] _miwae_impute() (MIWAEPlugin method) _miwae_loss() (MIWAEPlugin method) _modules (BasicNet attribute), [1] _non_persistent_buffers_set (BasicNet attribute), [1] _parameters (BasicNet attribute), [1] _predict() (CatBoostPlugin method) (CatBoostRegressorPlugin method) (ImputerPlugin method), [1] (KNeighborsClassifierPlugin method) (KNeighborsRegressorPlugin method) (LinearRegressionPlugin method) (LogisticRegressionPlugin method) (MLPRegressionPlugin method) (NeuralNetsPlugin method) (NeuralNetsRegressionPlugin method) (Plugin method) (RandomForestPlugin method) (RandomForestRegressionPlugin method) (SVCPlugin method) (SVMPlugin method) (XGBoostPlugin method) (XGBoostRegressorPlugin method) _predict_proba() (CatBoostPlugin method) (CatBoostRegressorPlugin method) (ImputerPlugin method), [1] (KNeighborsClassifierPlugin method) (LogisticRegressionPlugin method) (NeuralNetsPlugin method) (PredictionPlugin method), [1] (RandomForestPlugin method) (RegressionPlugin method), [1] (SVCPlugin method) (XGBoostPlugin method) _simulate_more_nan() (SoftImpute method) _softimpute() (SoftImpute method) _state_dict_hooks (BasicNet attribute), [1] _svd() (SoftImpute method) _transform() (EMPlugin method) (GainPlugin method) (MeanPlugin method) (MedianPlugin method) (MicePlugin method) (MiraclePlugin method) (MIWAEPlugin method) (MostFrequentPlugin method) (NopPlugin method) (Plugin method) (PredictionPlugin method), [1] (SKLearnIterativeChainedEquationsPlugin method) (SKLearnMissForestPlugin method) (SoftImputePlugin method)

A

add() (in module hyperimpute.logger) (PluginLoader method) (Plugins method) (Predictions method)

algorithm (KNeighborsClassifierPlugin attribute) (KNeighborsRegressorPlugin attribute) average_precision_score() (Eval method)

B

BasicNet (class in hyperimpute.plugins.prediction.classifiers.plugin_neural_nets) (class in hyperimpute.plugins.prediction.regression.plugin_neural_nets_regression)

benchmark() (in module hyperimpute.plugins.utils.decorators) booster (XGBoostPlugin attribute) BuildCancelled

C

cancel() (Hooks method) CatBoostPlugin (class in hyperimpute.plugins.prediction.classifiers.plugin_catboost) CatBoostRegressorPlugin (class in hyperimpute.plugins.prediction.regression.plugin_catboost_regressor) Categorical (class in hyperimpute.plugins.core.params) classes (LogisticRegressionPlugin attribute) ClassifierPlugin (class in hyperimpute.plugins.prediction.classifiers) (class in hyperimpute.plugins.prediction.classifiers.base)

Classifiers (class in hyperimpute.plugins.prediction.classifiers) compress_df() (in module hyperimpute.utils.pandas) cpu_count() (in module hyperimpute.utils.parallel) create_log_and_print_function() (in module hyperimpute.logger) criterions (RandomForestPlugin attribute) (RandomForestRegressionPlugin attribute) critical() (in module hyperimpute.logger)

D

debug() (in module hyperimpute.logger) default() (numpy_encoder method)

discr_loss() (GainModel method) discriminator() (GainModel method)

E

EM (class in hyperimpute.plugins.imputers.plugin_EM) EMPlugin (class in hyperimpute.plugins.imputers.plugin_EM) enable_reproducible_results() (in module hyperimpute.utils.distributions) error() (in module hyperimpute.logger) Eval (class in hyperimpute.utils.tester) evaluate_auc() (in module hyperimpute.utils.metrics)

evaluate_estimator() (in module hyperimpute.utils.tester) evaluate_regression() (in module hyperimpute.utils.tester) evaluate_wnd() (in module hyperimpute.utils.metrics) expect_dataframe_for() (in module hyperimpute.plugins.utils.decorators) expect_ndarray_for() (in module hyperimpute.plugins.utils.decorators) expect_type_for() (in module hyperimpute.plugins.utils.decorators) explain() (PredictionPlugin method), [1]

F

features (RandomForestPlugin attribute) (RandomForestRegressionPlugin attribute) fit() (ClassifierPlugin method), [1] (GainImputation method) (Plugin method) (RegressionPlugin method), [1] (SoftImpute method) fit_intercepts() (in module hyperimpute.plugins.utils.simulate)

fit_predict() (Plugin method) fit_transform() (EM method) (GainImputation method) (Plugin method) (SoftImpute method) Float (class in hyperimpute.plugins.core.params) forward() (BasicNet method), [1] fqdn() (Plugin class method)

G

GainImputation (class in hyperimpute.plugins.imputers.plugin_gain) GainModel (class in hyperimpute.plugins.imputers.plugin_gain) GainPlugin (class in hyperimpute.plugins.imputers.plugin_gain) gen_loss() (GainModel method) generate_score() (in module hyperimpute.utils.metrics) generator() (GainModel method) get() (Categorical method) (Float method) (Integer method) (Params method) (PluginLoader method) (Plugins method) (Predictions method)

get_args() (ClassifierPlugin method), [1] (RegressionPlugin method), [1] get_metric() (Eval method) get_type() (PluginLoader method) (Plugins method) (Predictions method) get_y_pred_proba_hlpr() (in module hyperimpute.utils.metrics) group() (in module hyperimpute.plugins) grow_policies (CatBoostPlugin attribute) (CatBoostRegressorPlugin attribute) grow_policy (XGBoostPlugin attribute) (XGBoostRegressorPlugin attribute)

H

heartbeat() (Hooks method) Hooks (class in hyperimpute.hooks) hyperimpute module hyperimpute.exceptions module hyperimpute.hooks module hyperimpute.logger module hyperimpute.plugins module hyperimpute.plugins.core module hyperimpute.plugins.core.base_plugin module hyperimpute.plugins.core.device module hyperimpute.plugins.core.params module hyperimpute.plugins.imputers module hyperimpute.plugins.imputers.base module hyperimpute.plugins.imputers.plugin_EM module hyperimpute.plugins.imputers.plugin_gain module hyperimpute.plugins.imputers.plugin_mean module hyperimpute.plugins.imputers.plugin_median module hyperimpute.plugins.imputers.plugin_mice module hyperimpute.plugins.imputers.plugin_miracle module hyperimpute.plugins.imputers.plugin_miwae module hyperimpute.plugins.imputers.plugin_most_frequent module hyperimpute.plugins.imputers.plugin_nop module hyperimpute.plugins.imputers.plugin_sklearn_ice module hyperimpute.plugins.imputers.plugin_sklearn_missforest module hyperimpute.plugins.imputers.plugin_softimpute module hyperimpute.plugins.prediction module hyperimpute.plugins.prediction.base module hyperimpute.plugins.prediction.classifiers module hyperimpute.plugins.prediction.classifiers.base module hyperimpute.plugins.prediction.classifiers.plugin_catboost module hyperimpute.plugins.prediction.classifiers.plugin_kneighbors module hyperimpute.plugins.prediction.classifiers.plugin_logistic_regression module hyperimpute.plugins.prediction.classifiers.plugin_neural_nets module hyperimpute.plugins.prediction.classifiers.plugin_random_forest module hyperimpute.plugins.prediction.classifiers.plugin_svc module hyperimpute.plugins.prediction.classifiers.plugin_xgboost module hyperimpute.plugins.prediction.regression module hyperimpute.plugins.prediction.regression.base module hyperimpute.plugins.prediction.regression.plugin_catboost_regressor module

hyperimpute.plugins.prediction.regression.plugin_kneighbors_regressor module hyperimpute.plugins.prediction.regression.plugin_linear_regression module hyperimpute.plugins.prediction.regression.plugin_mlp_regressor module hyperimpute.plugins.prediction.regression.plugin_neural_nets_regression module hyperimpute.plugins.prediction.regression.plugin_random_forest_regressor module hyperimpute.plugins.prediction.regression.plugin_svm module hyperimpute.plugins.prediction.regression.plugin_xgboost_regressor module hyperimpute.plugins.utils module hyperimpute.plugins.utils.cast module hyperimpute.plugins.utils.decorators module hyperimpute.plugins.utils.metrics module hyperimpute.plugins.utils.simulate module hyperimpute.utils module hyperimpute.utils.distributions module hyperimpute.utils.encoder module hyperimpute.utils.metrics module hyperimpute.utils.pandas module hyperimpute.utils.parallel module hyperimpute.utils.serialization module hyperimpute.utils.tester module hyperimpute.utils.torch module hyperimpute.version module hyperparameter_space() (CatBoostPlugin static method) (CatBoostRegressorPlugin static method) (EMPlugin static method) (GainPlugin static method) (KNeighborsClassifierPlugin static method) (KNeighborsRegressorPlugin static method) (LinearRegressionPlugin static method) (LogisticRegressionPlugin static method) (MeanPlugin static method) (MedianPlugin static method) (MicePlugin static method) (MiraclePlugin static method) (MIWAEPlugin static method) (MLPRegressionPlugin static method) (MostFrequentPlugin static method) (NeuralNetsPlugin static method) (NeuralNetsRegressionPlugin static method) (NopPlugin static method) (Plugin static method) (RandomForestPlugin static method) (RandomForestRegressionPlugin static method) (RegressionPlugin static method), [1] (SKLearnIterativeChainedEquationsPlugin static method) (SKLearnMissForestPlugin static method) (SoftImputePlugin static method) (SVCPlugin static method) (SVMPlugin static method) (XGBoostPlugin static method) (XGBoostRegressorPlugin static method) hyperparameter_space_fqdn() (Plugin class method)

I

imputation_order_vals (MicePlugin attribute) (SKLearnIterativeChainedEquationsPlugin attribute) ImputerPlugin (class in hyperimpute.plugins.imputers) (class in hyperimpute.plugins.imputers.base)

Imputers (class in hyperimpute.plugins.imputers) info() (in module hyperimpute.logger) initial_strategy_vals (MicePlugin attribute) (SKLearnIterativeChainedEquationsPlugin attribute) Integer (class in hyperimpute.plugins.core.params)

K

kernels (SVCPlugin attribute) (SVMPlugin attribute)

KNeighborsClassifierPlugin (class in hyperimpute.plugins.prediction.classifiers.plugin_kneighbors) KNeighborsRegressorPlugin (class in hyperimpute.plugins.prediction.regression.plugin_kneighbors_regressor)

L

LinearRegressionPlugin (class in hyperimpute.plugins.prediction.regression.plugin_linear_regression) list() (PluginLoader method) (Plugins method) (Predictions method) load() (in module hyperimpute.utils.serialization) (MiraclePlugin class method) (Serializable static method) (SoftImpute class method)

load_dict() (Serializable static method) load_from_file() (in module hyperimpute.utils.serialization) LogisticRegressionPlugin (class in hyperimpute.plugins.prediction.classifiers.plugin_logistic_regression)

M

MAE() (in module hyperimpute.plugins.utils.metrics) MAR_mask() (in module hyperimpute.plugins.utils.simulate) MeanPlugin (class in hyperimpute.plugins.imputers.plugin_mean) MedianPlugin (class in hyperimpute.plugins.imputers.plugin_median) MicePlugin (class in hyperimpute.plugins.imputers.plugin_mice) MiraclePlugin (class in hyperimpute.plugins.imputers.plugin_miracle) MIWAEPlugin (class in hyperimpute.plugins.imputers.plugin_miwae) MLPRegressionPlugin (class in hyperimpute.plugins.prediction.regression.plugin_mlp_regressor) MNAR_mask_logistic() (in module hyperimpute.plugins.utils.simulate) MNAR_mask_quantiles() (in module hyperimpute.plugins.utils.simulate) MNAR_self_mask_logistic() (in module hyperimpute.plugins.utils.simulate) module hyperimpute hyperimpute.exceptions hyperimpute.hooks hyperimpute.logger hyperimpute.plugins hyperimpute.plugins.core hyperimpute.plugins.core.base_plugin hyperimpute.plugins.core.device hyperimpute.plugins.core.params hyperimpute.plugins.imputers hyperimpute.plugins.imputers.base hyperimpute.plugins.imputers.plugin_EM hyperimpute.plugins.imputers.plugin_gain hyperimpute.plugins.imputers.plugin_mean hyperimpute.plugins.imputers.plugin_median hyperimpute.plugins.imputers.plugin_mice hyperimpute.plugins.imputers.plugin_miracle hyperimpute.plugins.imputers.plugin_miwae hyperimpute.plugins.imputers.plugin_most_frequent hyperimpute.plugins.imputers.plugin_nop hyperimpute.plugins.imputers.plugin_sklearn_ice hyperimpute.plugins.imputers.plugin_sklearn_missforest hyperimpute.plugins.imputers.plugin_softimpute hyperimpute.plugins.prediction hyperimpute.plugins.prediction.base hyperimpute.plugins.prediction.classifiers hyperimpute.plugins.prediction.classifiers.base hyperimpute.plugins.prediction.classifiers.plugin_catboost hyperimpute.plugins.prediction.classifiers.plugin_kneighbors hyperimpute.plugins.prediction.classifiers.plugin_logistic_regression hyperimpute.plugins.prediction.classifiers.plugin_neural_nets hyperimpute.plugins.prediction.classifiers.plugin_random_forest hyperimpute.plugins.prediction.classifiers.plugin_svc hyperimpute.plugins.prediction.classifiers.plugin_xgboost hyperimpute.plugins.prediction.regression hyperimpute.plugins.prediction.regression.base hyperimpute.plugins.prediction.regression.plugin_catboost_regressor hyperimpute.plugins.prediction.regression.plugin_kneighbors_regressor hyperimpute.plugins.prediction.regression.plugin_linear_regression hyperimpute.plugins.prediction.regression.plugin_mlp_regressor hyperimpute.plugins.prediction.regression.plugin_neural_nets_regression hyperimpute.plugins.prediction.regression.plugin_random_forest_regressor hyperimpute.plugins.prediction.regression.plugin_svm hyperimpute.plugins.prediction.regression.plugin_xgboost_regressor hyperimpute.plugins.utils hyperimpute.plugins.utils.cast hyperimpute.plugins.utils.decorators hyperimpute.plugins.utils.metrics hyperimpute.plugins.utils.simulate hyperimpute.utils hyperimpute.utils.distributions hyperimpute.utils.encoder hyperimpute.utils.metrics hyperimpute.utils.pandas hyperimpute.utils.parallel hyperimpute.utils.serialization hyperimpute.utils.tester hyperimpute.utils.torch hyperimpute.version

module_relative_path (ClassifierPlugin attribute), [1] (EMPlugin attribute) (GainPlugin attribute) (ImputerPlugin attribute), [1] (KNeighborsClassifierPlugin attribute) (KNeighborsRegressorPlugin attribute) (LinearRegressionPlugin attribute) (LogisticRegressionPlugin attribute) (MeanPlugin attribute) (MedianPlugin attribute) (MicePlugin attribute) (MiraclePlugin attribute) (MIWAEPlugin attribute) (MLPRegressionPlugin attribute) (MostFrequentPlugin attribute) (NeuralNetsPlugin attribute) (NeuralNetsRegressionPlugin attribute) (NopPlugin attribute) (PredictionPlugin attribute), [1] (RandomForestPlugin attribute) (RandomForestRegressionPlugin attribute) (RegressionPlugin attribute), [1] (SKLearnIterativeChainedEquationsPlugin attribute) (SKLearnMissForestPlugin attribute) (SoftImputePlugin attribute) (SVCPlugin attribute) (SVMPlugin attribute) (XGBoostPlugin attribute) (XGBoostRegressorPlugin attribute) MostFrequentPlugin (class in hyperimpute.plugins.imputers.plugin_most_frequent)

N

name() (CatBoostPlugin static method) (CatBoostRegressorPlugin static method) (EMPlugin static method) (GainPlugin static method) (KNeighborsClassifierPlugin static method) (KNeighborsRegressorPlugin static method) (LinearRegressionPlugin static method) (LogisticRegressionPlugin static method) (MeanPlugin static method) (MedianPlugin static method) (MicePlugin static method) (MiraclePlugin static method) (MIWAEPlugin static method) (MLPRegressionPlugin static method) (MostFrequentPlugin static method) (NeuralNetsPlugin static method) (NeuralNetsRegressionPlugin static method) (NopPlugin static method) (Plugin static method) (RandomForestPlugin static method) (RandomForestRegressionPlugin static method) (SKLearnIterativeChainedEquationsPlugin static method) (SKLearnMissForestPlugin static method) (SoftImputePlugin static method) (SVCPlugin static method) (SVMPlugin static method) (XGBoostPlugin static method) (XGBoostRegressorPlugin static method)

NeuralNetsPlugin (class in hyperimpute.plugins.prediction.classifiers.plugin_neural_nets) NeuralNetsRegressionPlugin (class in hyperimpute.plugins.prediction.regression.plugin_neural_nets_regression) NopPlugin (class in hyperimpute.plugins.imputers.plugin_nop) numpy_encoder (class in hyperimpute.utils.encoder)

O

one_hot_encoder() (in module hyperimpute.utils.torch) optimize_floats() (in module hyperimpute.utils.pandas)

optimize_ints() (in module hyperimpute.utils.pandas) optimize_objects() (in module hyperimpute.utils.pandas)

P

Params (class in hyperimpute.plugins.core.params) pick_coeffs() (in module hyperimpute.plugins.utils.simulate) Plugin (class in hyperimpute.plugins.core.base_plugin) plugin (in module hyperimpute.plugins.imputers.plugin_EM) (in module hyperimpute.plugins.imputers.plugin_gain) (in module hyperimpute.plugins.imputers.plugin_mean) (in module hyperimpute.plugins.imputers.plugin_median) (in module hyperimpute.plugins.imputers.plugin_mice) (in module hyperimpute.plugins.imputers.plugin_miracle) (in module hyperimpute.plugins.imputers.plugin_miwae) (in module hyperimpute.plugins.imputers.plugin_most_frequent) (in module hyperimpute.plugins.imputers.plugin_nop) (in module hyperimpute.plugins.imputers.plugin_sklearn_ice) (in module hyperimpute.plugins.imputers.plugin_sklearn_missforest) (in module hyperimpute.plugins.imputers.plugin_softimpute) (in module hyperimpute.plugins.prediction.classifiers.plugin_catboost) (in module hyperimpute.plugins.prediction.classifiers.plugin_kneighbors) (in module hyperimpute.plugins.prediction.classifiers.plugin_logistic_regression) (in module hyperimpute.plugins.prediction.classifiers.plugin_neural_nets) (in module hyperimpute.plugins.prediction.classifiers.plugin_random_forest) (in module hyperimpute.plugins.prediction.classifiers.plugin_svc) (in module hyperimpute.plugins.prediction.classifiers.plugin_xgboost) (in module hyperimpute.plugins.prediction.regression.plugin_catboost_regressor) (in module hyperimpute.plugins.prediction.regression.plugin_kneighbors_regressor) (in module hyperimpute.plugins.prediction.regression.plugin_linear_regression) (in module hyperimpute.plugins.prediction.regression.plugin_mlp_regressor) (in module hyperimpute.plugins.prediction.regression.plugin_neural_nets_regression) (in module hyperimpute.plugins.prediction.regression.plugin_random_forest_regressor) (in module hyperimpute.plugins.prediction.regression.plugin_svm) (in module hyperimpute.plugins.prediction.regression.plugin_xgboost_regressor)

PluginLoader (class in hyperimpute.plugins.core.base_plugin) Plugins (class in hyperimpute.plugins) predict() (Plugin method) predict_proba() (PredictionPlugin method), [1] PredictionPlugin (class in hyperimpute.plugins.prediction) (class in hyperimpute.plugins.prediction.base) Predictions (class in hyperimpute.plugins.prediction) print_score() (in module hyperimpute.utils.metrics)

R

RandomForestPlugin (class in hyperimpute.plugins.prediction.classifiers.plugin_random_forest) RandomForestRegressionPlugin (class in hyperimpute.plugins.prediction.regression.plugin_random_forest_regressor) read_csv_compressed() (in module hyperimpute.utils.pandas) Regression (class in hyperimpute.plugins.prediction.regression) RegressionPlugin (class in hyperimpute.plugins.prediction.regression) (class in hyperimpute.plugins.prediction.regression.base)

reload() (PluginLoader method) (Predictions method) remove() (in module hyperimpute.logger) RMSE() (in module hyperimpute.plugins.utils.metrics) roc_auc_score() (Eval method)

S

sample() (Categorical method) (Float method) (Integer method) (Params method) sample_hyperparameters() (Plugin class method) sample_hyperparameters_fqdn() (Plugin class method) sample_hyperparameters_np() (Plugin class method) sample_idx() (in module hyperimpute.plugins.imputers.plugin_gain) sample_M() (in module hyperimpute.plugins.imputers.plugin_gain) sample_np() (Categorical method) (Float method) (Integer method) (Params method) sample_Z() (in module hyperimpute.plugins.imputers.plugin_gain) save() (in module hyperimpute.utils.serialization) (MiraclePlugin method) (Serializable method) (SoftImpute method) save_dict() (Serializable method) save_to_file() (in module hyperimpute.utils.serialization) (Serializable method)

score() (ClassifierPlugin method), [1] (PredictionPlugin method), [1] score_classification_model() (in module hyperimpute.utils.tester) score_proba() (Eval method) Serializable (class in hyperimpute.utils.serialization) simulate_nan() (in module hyperimpute.plugins.utils.simulate) SKLearnIterativeChainedEquationsPlugin (class in hyperimpute.plugins.imputers.plugin_sklearn_ice) SKLearnMissForestPlugin (class in hyperimpute.plugins.imputers.plugin_sklearn_missforest) SoftImpute (class in hyperimpute.plugins.imputers.plugin_softimpute) SoftImputePlugin (class in hyperimpute.plugins.imputers.plugin_softimpute) solvers (LinearRegressionPlugin attribute) (LogisticRegressionPlugin attribute) StudyCancelled subtype() (ClassifierPlugin static method), [1] (ImputerPlugin static method), [1] (Plugin static method) (RegressionPlugin static method), [1] SVCPlugin (class in hyperimpute.plugins.prediction.classifiers.plugin_svc) SVMPlugin (class in hyperimpute.plugins.prediction.regression.plugin_svm)

T

to_dataframe() (in module hyperimpute.plugins.utils.cast) to_ndarray() (in module hyperimpute.plugins.utils.cast) trace() (in module hyperimpute.logger) traceback() (in module hyperimpute.logger) traceback_and_raise() (in module hyperimpute.logger) train() (BasicNet method), [1] training (BasicNet attribute), [1]

transform() (GainImputation method) (Plugin method) (SoftImpute method) type() (ImputerPlugin static method), [1] (Plugin static method) (PredictionPlugin static method), [1] types() (PluginLoader method)

V

version() (Serializable static method)

W

warning() (in module hyperimpute.logger) weights (KNeighborsClassifierPlugin attribute) (KNeighborsRegressorPlugin attribute) (LogisticRegressionPlugin attribute)

weights_init() (in module hyperimpute.plugins.imputers.plugin_miwae)

X

XGBoostPlugin (class in hyperimpute.plugins.prediction.classifiers.plugin_xgboost)

XGBoostRegressorPlugin (class in hyperimpute.plugins.prediction.regression.plugin_xgboost_regressor)