Index B | C | D | F | G | H | I | K | L | M | N | O | P | Q | R | S | T | U | V | X | Y B BaseDataset (class in mlcompare.data), [1] C create() (mlcompare.DatasetFactory static method) (mlcompare.ModelFactory static method) create_save_name() (mlcompare.data.BaseDataset method) (mlcompare.data.HuggingFaceDataset method) (mlcompare.data.KaggleDataset method) (mlcompare.data.LocalDataset method) (mlcompare.data.OpenMLDataset method) D data_exploration_pipeline() (in module mlcompare) data_pipeline (class in mlcompare) dataset (mlcompare.data.KaggleDataset attribute) DatasetFactory (class in mlcompare) (class in mlcompare.data) DatasetProcessor (class in mlcompare) (class in mlcompare.data.dataset_processor) drop (mlcompare.data.BaseDataset attribute) drop_columns() (mlcompare.DatasetProcessor method) F file (mlcompare.data.HuggingFaceDataset attribute) (mlcompare.data.KaggleDataset attribute) file_path (mlcompare.data.LocalDataset attribute) full_pipeline (class in mlcompare) full_pipeline() (in module mlcompare) G get_data() (mlcompare.data.BaseDataset method) (mlcompare.data.HuggingFaceDataset method) (mlcompare.data.KaggleDataset method) (mlcompare.data.LocalDataset method) (mlcompare.data.OpenMLDataset method) H handle_nan() (mlcompare.DatasetProcessor method) HuggingFaceDataset (class in mlcompare.data), [1] I id (mlcompare.data.OpenMLDataset attribute) instantiate_model() (mlcompare.models.LibraryModel method) K KaggleDataset (class in mlcompare.data), [1] L label_encode (mlcompare.data.BaseDataset attribute) label_encode_column() (mlcompare.DatasetProcessor method) LibraryModel (class in mlcompare.models) (class in mlcompare.models.models) LocalDataset (class in mlcompare.data), [1] M max_abs_scale (mlcompare.data.BaseDataset attribute) max_abs_scale_columns() (mlcompare.DatasetProcessor method) min_max_scale (mlcompare.data.BaseDataset attribute) min_max_scale_columns() (mlcompare.DatasetProcessor method) mlcompare.params_reader module model_computed_fields (mlcompare.data.BaseDataset attribute) (mlcompare.data.HuggingFaceDataset attribute) (mlcompare.data.KaggleDataset attribute) (mlcompare.data.LocalDataset attribute) (mlcompare.data.OpenMLDataset attribute) (mlcompare.models.LibraryModel attribute) (mlcompare.models.SklearnModel attribute) (mlcompare.models.XGBoostModel attribute) (mlcompare.SplitData attribute) model_config (mlcompare.data.BaseDataset attribute) (mlcompare.data.HuggingFaceDataset attribute) (mlcompare.data.KaggleDataset attribute) (mlcompare.data.LocalDataset attribute) (mlcompare.data.OpenMLDataset attribute) (mlcompare.models.LibraryModel attribute) (mlcompare.models.SklearnModel attribute) (mlcompare.models.XGBoostModel attribute) (mlcompare.SplitData attribute) model_fields (mlcompare.data.BaseDataset attribute) (mlcompare.data.HuggingFaceDataset attribute) (mlcompare.data.KaggleDataset attribute) (mlcompare.data.LocalDataset attribute) (mlcompare.data.OpenMLDataset attribute) (mlcompare.models.LibraryModel attribute) (mlcompare.models.SklearnModel attribute) (mlcompare.models.XGBoostModel attribute) (mlcompare.SplitData attribute) model_post_init() (mlcompare.data.BaseDataset method) (mlcompare.data.HuggingFaceDataset method) (mlcompare.data.KaggleDataset method) (mlcompare.data.LocalDataset method) (mlcompare.data.OpenMLDataset method) (mlcompare.models.LibraryModel method) (mlcompare.models.SklearnModel method) (mlcompare.models.XGBoostModel method) ModelFactory (class in mlcompare) (class in mlcompare.models.models) module mlcompare.params_reader module (mlcompare.models.LibraryModel attribute) N name (mlcompare.models.LibraryModel attribute) nan (mlcompare.data.BaseDataset attribute) normalize (mlcompare.data.BaseDataset attribute) normalize_columns() (mlcompare.DatasetProcessor method) O one_hot_encode (mlcompare.data.BaseDataset attribute) one_hot_encode_columns() (mlcompare.DatasetProcessor method) OpenMLDataset (class in mlcompare.data), [1] ordinal_encode (mlcompare.data.BaseDataset attribute) ordinal_encode_columns() (mlcompare.DatasetProcessor method) P params (mlcompare.models.LibraryModel attribute) ParamsInput (in module mlcompare.params_reader) ParamsReader (class in mlcompare.params_reader) power_transform (mlcompare.data.BaseDataset attribute) power_transform_columns() (mlcompare.DatasetProcessor method) predict() (mlcompare.models.LibraryModel method) (mlcompare.models.SklearnModel method) (mlcompare.models.XGBoostModel method) process_dataset() (mlcompare.DatasetProcessor method) Q quantile_transform (mlcompare.data.BaseDataset attribute) quantile_transform_columns() (mlcompare.DatasetProcessor method) quantile_transform_normal (mlcompare.data.BaseDataset attribute) quantile_transform_normal_columns() (mlcompare.DatasetProcessor method) R read() (mlcompare.params_reader.ParamsReader static method) repo (mlcompare.data.HuggingFaceDataset attribute) resolve_model_submodule() (mlcompare.models.LibraryModel method) robust_scale (mlcompare.data.BaseDataset attribute) robust_scale_columns() (mlcompare.DatasetProcessor method) S save() (mlcompare.models.LibraryModel method) save_data() (mlcompare.DatasetProcessor method) save_name (mlcompare.data.BaseDataset attribute) SklearnModel (class in mlcompare.models) (class in mlcompare.models.models) split_and_save_data() (mlcompare.DatasetProcessor method) split_target() (mlcompare.DatasetProcessor method) SplitData (class in mlcompare) (class in mlcompare.data.split_data) standard_scale (mlcompare.data.BaseDataset attribute) standard_scale_columns() (mlcompare.DatasetProcessor method) T target (mlcompare.data.BaseDataset attribute) target_encode (mlcompare.data.BaseDataset attribute) target_encode_columns() (mlcompare.DatasetProcessor method) train() (mlcompare.models.LibraryModel method) (mlcompare.models.SklearnModel method) (mlcompare.models.XGBoostModel method) U user (mlcompare.data.KaggleDataset attribute) V validate_data() (mlcompare.data.KaggleDataset method) (mlcompare.data.LocalDataset method) X X_test (mlcompare.SplitData attribute) X_train (mlcompare.SplitData attribute) XGBoostModel (class in mlcompare.models) (class in mlcompare.models.models) Y y_test (mlcompare.SplitData attribute) y_train (mlcompare.SplitData attribute)