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Installation
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API Reference
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DataSet
modeva.DataSet.load
modeva.DataSet.load_csv
modeva.DataSet.load_spark
modeva.DataSet.load_dataframe
modeva.DataSet.load_dataframe_train_test
modeva.DataSet.to_df
modeva.DataSet.register
modeva.DataSet.list_registered_data
modeva.DataSet.load_registered_data
modeva.DataSet.delete_registered_data
modeva.DataSet.summary
modeva.DataSet.eda_1d
modeva.DataSet.eda_2d
modeva.DataSet.eda_3d
modeva.DataSet.eda_correlation
modeva.DataSet.eda_pca
modeva.DataSet.eda_umap
modeva.DataSet.impute_missing
modeva.DataSet.scale_numerical
modeva.DataSet.bin_numerical
modeva.DataSet.encode_categorical
modeva.DataSet.preprocess
modeva.DataSet.transform
modeva.DataSet.inverse_transform
modeva.DataSet.reset_preprocess
modeva.DataSet.get_preprocessor
modeva.DataSet.feature_select_corr
modeva.DataSet.feature_select_xgbpfi
modeva.DataSet.feature_select_rcit
modeva.DataSet.set_feature_type
modeva.DataSet.set_active_features
modeva.DataSet.set_inactive_features
modeva.DataSet.set_target
modeva.DataSet.set_task_type
modeva.DataSet.set_sample_weight
modeva.DataSet.set_prediction
modeva.DataSet.set_prediction_proba
modeva.DataSet.detect_outlier_pca
modeva.DataSet.detect_outlier_isolation_forest
modeva.DataSet.detect_outlier_cblof
modeva.DataSet.name
modeva.DataSet.raw_data
modeva.DataSet.data
modeva.DataSet.shape
modeva.DataSet.all_feature_names
modeva.DataSet.feature_names
modeva.DataSet.feature_names_numerical
modeva.DataSet.feature_names_categorical
modeva.DataSet.feature_names_mixed
modeva.DataSet.target_feature_name
modeva.DataSet.sample_weight_name
modeva.DataSet.prediction_name
modeva.DataSet.prediction_proba_name
modeva.DataSet.protected_feature_names
modeva.DataSet.all_feature_types
modeva.DataSet.feature_types
modeva.DataSet.n_features
modeva.DataSet.task_type
modeva.DataSet.x
modeva.DataSet.y
modeva.DataSet.sample_weight
modeva.DataSet.set_random_split
modeva.DataSet.set_train_idx
modeva.DataSet.set_test_idx
modeva.DataSet.train_x
modeva.DataSet.train_y
modeva.DataSet.train_sample_weight
modeva.DataSet.test_x
modeva.DataSet.test_y
modeva.DataSet.test_sample_weight
modeva.DataSet.is_splitted
modeva.DataSet.set_protected_data
modeva.DataSet.set_protected_extra_data
modeva.DataSet.set_raw_extra_data
modeva.DataSet.delete_extra_data
modeva.DataSet.get_extra_data_list
modeva.DataSet.get_data_list
modeva.DataSet.get_raw_data
modeva.DataSet.get_data
modeva.DataSet.get_X_y_data
modeva.DataSet.get_active_sample_idx
modeva.DataSet.get_protected_data
modeva.DataSet.subsample_random
modeva.DataSet.data_drift_test
modeva.DataSet.save_preprocessing
modeva.DataSet.load_preprocessing
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DataSet
modeva.DataSet.train_x
modeva.DataSet.train_x
#
property
DataSet.
train_x
#
Get the training x (active and preprocessed).
On this page
DataSet.train_x
