Index

_

__init__() (lightautoml.addons.hypex.algorithms.faiss_matcher.FaissMatcher method) (lightautoml.addons.hypex.algorithms.no_replacement_matching.MatcherNoReplacement method) (lightautoml.addons.hypex.matcher.Matcher method) (lightautoml.addons.hypex.selectors.lama_feature_selector.LamaFeatureSelector method) (lightautoml.addons.hypex.selectors.outliers_filter.OutliersFilter method) (lightautoml.addons.hypex.selectors.spearman_filter.SpearmanFilter method) (lightautoml.dataset.base.LAMLColumn method) (lightautoml.dataset.base.LAMLDataset method) (lightautoml.dataset.np_pd_dataset.CSRSparseDataset method) (lightautoml.image.image.CreateImageFeatures method) (lightautoml.image.image.DeepTimmImageEmbedder method) (lightautoml.image.image.ImageTimmDataset method) (lightautoml.image.image.TimmModelEmbedder method) (lightautoml.pipelines.features.base.TabularDataFeatures method) (lightautoml.pipelines.features.torch_pipeline.TorchSimpleFeatures method) (lightautoml.pipelines.ml.whitebox_ml_pipe.WBPipeline method) (lightautoml.report.report_deco.ReportDeco method) (lightautoml.transformers.base.BestOfTransformers method) (lightautoml.transformers.image.ImageFeaturesTransformer method) (lightautoml.transformers.numeric.QuantileTransformer method) (lightautoml.validation.base.CustomIterator method) (lightautoml.validation.base.DummyIterator method) (lightautoml.validation.base.HoldoutIterator method) (lightautoml.validation.np_iterators.FoldsIterator method) (lightautoml.validation.np_iterators.TimeSeriesIterator method)

A

advanced_roles_guess() (lightautoml.reader.base.PandasToPandasReader method) apply_feature_pipeline() (lightautoml.validation.base.HoldoutIterator method) (lightautoml.validation.base.TrainValidIterator method) apply_selector() (lightautoml.validation.base.HoldoutIterator method) (lightautoml.validation.base.TrainValidIterator method)

auc_mu() (in module lightautoml.tasks.common_metric) AutoCVWrap (class in lightautoml.transformers.image) AutoML (class in lightautoml.automl.base) AutoMLPreset (class in lightautoml.automl.presets.base) AutoNLPWrap (class in lightautoml.transformers.text)

B

BaseDiff (class in lightautoml.transformers.datetime) BaseTokenizer (class in lightautoml.text.tokenizer) Batch (class in lightautoml.reader.tabular_batch_generator) BatchGenerator (class in lightautoml.reader.tabular_batch_generator) BertDataset (class in lightautoml.text.embed_dataset) BertEmbedder (class in lightautoml.text.dl_transformers) best_params (lightautoml.ml_algo.tuning.base.ParamsTuner property) BestClassBinaryWrapper (class in lightautoml.tasks.common_metric)

BestClassMulticlassWrapper (class in lightautoml.tasks.common_metric) BestModelSelector (class in lightautoml.automl.blend) BestOfTransformers (class in lightautoml.transformers.base) binary_score_func() (lightautoml.transformers.categorical.TargetEncoder static method) Blender (class in lightautoml.automl.blend) BoostCB (class in lightautoml.ml_algo.boost_cb) BoostLGBM (class in lightautoml.ml_algo.boost_lgbm) BOREP (class in lightautoml.text.dl_transformers) bw_func (lightautoml.tasks.losses.base.Loss property)

C

calc_atc() (lightautoml.addons.hypex.algorithms.faiss_matcher.FaissMatcher method) calc_att() (lightautoml.addons.hypex.algorithms.faiss_matcher.FaissMatcher method) CategoryRole (class in lightautoml.dataset.roles) CatIntersectstions (class in lightautoml.transformers.categorical) cb_str_loss_wrapper() (in module lightautoml.tasks.losses.cb) CBClassificationMetric (class in lightautoml.tasks.losses.cb_custom) CBCustomMetric (class in lightautoml.tasks.losses.cb_custom) CBLoss (class in lightautoml.tasks.losses.cb) CBMulticlassMetric (class in lightautoml.tasks.losses.cb_custom) CBRegressionMetric (class in lightautoml.tasks.losses.cb_custom) ChangeRoles (class in lightautoml.transformers.base) check_class_target() (lightautoml.reader.base.PandasToPandasReader method) collect_model_stats() (lightautoml.automl.base.AutoML method) collect_used_feats() (lightautoml.automl.base.AutoML method) cols_by_type() (lightautoml.reader.base.Reader method) ColumnRole (class in lightautoml.dataset.roles) ColumnsSelector (class in lightautoml.transformers.base) ColumnwiseUnion (class in lightautoml.transformers.base) concat() (lightautoml.dataset.base.LAMLDataset class method) concatenate() (in module lightautoml.dataset.utils) ConcatTextTransformer (class in lightautoml.transformers.text) convert_to_holdout_iterator() (lightautoml.validation.base.CustomIterator method) (lightautoml.validation.base.DummyIterator method) (lightautoml.validation.base.HoldoutIterator method) (lightautoml.validation.base.TrainValidIterator method) (lightautoml.validation.np_iterators.FoldsIterator method)

ConvertDataset (class in lightautoml.transformers.base) create_automl() (lightautoml.automl.presets.base.AutoMLPreset method) (lightautoml.automl.presets.tabular_presets.TabularAutoML method) (lightautoml.automl.presets.text_presets.TabularNLPAutoML method) (lightautoml.automl.presets.whitebox_presets.WhiteBoxPreset method) create_match_df() (lightautoml.addons.hypex.algorithms.no_replacement_matching.MatcherNoReplacement method) create_model_str_desc() (lightautoml.automl.presets.whitebox_presets.WhiteBoxPreset method) create_pipeline() (lightautoml.pipelines.features.base.EmptyFeaturePipeline method) (lightautoml.pipelines.features.base.FeaturesPipeline method) (lightautoml.pipelines.features.image_pipeline.ImageAutoFeatures method) (lightautoml.pipelines.features.image_pipeline.ImageSimpleFeatures method) (lightautoml.pipelines.features.lgb_pipeline.LGBAdvancedPipeline method) (lightautoml.pipelines.features.lgb_pipeline.LGBSimpleFeatures method) (lightautoml.pipelines.features.linear_pipeline.LinearFeatures method) (lightautoml.pipelines.features.text_pipeline.NLPTFiDFFeatures method) (lightautoml.pipelines.features.text_pipeline.TextAutoFeatures method) (lightautoml.pipelines.features.text_pipeline.TextBertFeatures method) (lightautoml.pipelines.features.torch_pipeline.TorchSimpleFeatures method) (lightautoml.pipelines.features.wb_pipeline.WBFeatures method) create_validation_iterator() (in module lightautoml.validation.utils) CreateImageFeatures (class in lightautoml.image.image) CSRSparseDataset (class in lightautoml.dataset.np_pd_dataset) custom_collate() (in module lightautoml.text.utils) CustomIterator (class in lightautoml.validation.base)

D

data (lightautoml.dataset.base.LAMLDataset property) (lightautoml.reader.tabular_batch_generator.Batch property) (lightautoml.reader.tabular_batch_generator.FileBatch property) dataset_type (lightautoml.dataset.base.LAMLDataset property) DateSeasons (class in lightautoml.transformers.datetime) DatetimeRole (class in lightautoml.dataset.roles) DeepTimmImageEmbedder (class in lightautoml.image.image) DefaultTuner (class in lightautoml.ml_algo.tuning.base) DenseLightModel (class in lightautoml.ml_algo.torch_based.nn_models)

DenseModel (class in lightautoml.ml_algo.torch_based.nn_models) DfBatchGenerator (class in lightautoml.reader.tabular_batch_generator) DLOptunaTuner (class in lightautoml.ml_algo.tuning.optuna) DLTransformer (class in lightautoml.text.dl_transformers) drop_features() (lightautoml.dataset.base.LAMLDataset method) dropped_features (lightautoml.pipelines.selection.base.SelectionPipeline property) (lightautoml.reader.base.Reader property) DropRole (class in lightautoml.dataset.roles) dtype (lightautoml.dataset.roles.ColumnRole attribute) DummyIterator (class in lightautoml.validation.base)

E

EmbedDataset (class in lightautoml.text.embed_dataset) empty() (lightautoml.dataset.base.LAMLDataset method) EmptyFeaturePipeline (class in lightautoml.pipelines.features.base) estimate() (lightautoml.addons.hypex.matcher.Matcher method) estimate_folds_time() (lightautoml.utils.timer.TaskTimer method)

estimate_tuner_time() (lightautoml.utils.timer.TaskTimer method) evaluate() (lightautoml.tasks.losses.cb_custom.CBClassificationMetric method) (lightautoml.tasks.losses.cb_custom.CBCustomMetric method) (lightautoml.tasks.losses.cb_custom.CBMulticlassMetric method) (lightautoml.tasks.losses.cb_custom.CBRegressionMetric method)

F

F1Factory (class in lightautoml.tasks.common_metric) FaissMatcher (class in lightautoml.addons.hypex.algorithms.faiss_matcher) features (lightautoml.dataset.base.LAMLDataset property) (lightautoml.dataset.np_pd_dataset.NumpyDataset property) (lightautoml.dataset.np_pd_dataset.PandasDataset property) (lightautoml.ml_algo.base.MLAlgo property) (lightautoml.transformers.base.LAMLTransformer property) (lightautoml.transformers.categorical.MultiClassTargetEncoder property) (lightautoml.transformers.categorical.OHEEncoder property) (lightautoml.transformers.datetime.BaseDiff property) (lightautoml.transformers.datetime.DateSeasons property) (lightautoml.transformers.decomposition.PCATransformer property) (lightautoml.transformers.decomposition.SVDTransformer property) (lightautoml.transformers.image.AutoCVWrap property) (lightautoml.transformers.image.ImageFeaturesTransformer property) (lightautoml.transformers.text.AutoNLPWrap property) (lightautoml.transformers.text.OneToOneTransformer property) (lightautoml.transformers.text.TfidfTextTransformer property) (lightautoml.validation.base.TrainValidIterator property) FeaturesPipeline (class in lightautoml.pipelines.features.base) FileBatch (class in lightautoml.reader.tabular_batch_generator) FileBatchGenerator (class in lightautoml.reader.tabular_batch_generator) FillInf (class in lightautoml.transformers.numeric) FillnaMean (class in lightautoml.transformers.numeric) FillnaMedian (class in lightautoml.transformers.numeric) filter_tokens() (lightautoml.text.tokenizer.BaseTokenizer method) (lightautoml.text.tokenizer.SimpleEnTokenizer method) (lightautoml.text.tokenizer.SimpleRuTokenizer method) fit() (lightautoml.image.image.DeepTimmImageEmbedder method) (lightautoml.ml_algo.boost_cb.BoostCB method) (lightautoml.ml_algo.boost_lgbm.BoostLGBM method) (lightautoml.ml_algo.tuning.base.DefaultTuner method) (lightautoml.ml_algo.tuning.base.ParamsTuner method) (lightautoml.ml_algo.tuning.optuna.DLOptunaTuner method) (lightautoml.ml_algo.tuning.optuna.OptunaTuner method) (lightautoml.ml_algo.whitebox.WbMLAlgo method) (lightautoml.pipelines.ml.nested_ml_pipe.NestedTabularMLAlgo method) (lightautoml.pipelines.selection.base.ImportanceEstimator method) (lightautoml.pipelines.selection.base.SelectionPipeline method) (lightautoml.pipelines.selection.importance_based.ModelBasedImportanceEstimator method) (lightautoml.pipelines.selection.permutation_importance_based.NpPermutationImportanceEstimator method) (lightautoml.transformers.base.BestOfTransformers method) (lightautoml.transformers.base.ColumnsSelector method) (lightautoml.transformers.base.ColumnwiseUnion method) (lightautoml.transformers.base.LAMLTransformer method) (lightautoml.transformers.base.SequentialTransformer method) (lightautoml.transformers.base.UnionTransformer method) (lightautoml.transformers.categorical.CatIntersectstions method) (lightautoml.transformers.categorical.FreqEncoder method) (lightautoml.transformers.categorical.LabelEncoder method) (lightautoml.transformers.categorical.OHEEncoder method) (lightautoml.transformers.categorical.OrdinalEncoder method) (lightautoml.transformers.categorical.TargetEncoder method) (lightautoml.transformers.datetime.BaseDiff method) (lightautoml.transformers.datetime.DateSeasons method) (lightautoml.transformers.decomposition.PCATransformer method) (lightautoml.transformers.decomposition.SVDTransformer method) (lightautoml.transformers.image.AutoCVWrap method) (lightautoml.transformers.image.ImageFeaturesTransformer method) (lightautoml.transformers.numeric.FillnaMean method) (lightautoml.transformers.numeric.FillnaMedian method) (lightautoml.transformers.numeric.NaNFlags method) (lightautoml.transformers.numeric.QuantileBinning method) (lightautoml.transformers.numeric.QuantileTransformer method) (lightautoml.transformers.numeric.StandardScaler method) (lightautoml.transformers.text.AutoNLPWrap method) (lightautoml.transformers.text.OneToOneTransformer method) (lightautoml.transformers.text.TfidfTextTransformer method)

fit_predict() (lightautoml.addons.utilization.utilization.TimeUtilization method) (lightautoml.automl.base.AutoML method) (lightautoml.automl.blend.Blender method) (lightautoml.automl.presets.base.AutoMLPreset method) (lightautoml.automl.presets.tabular_presets.TabularAutoML method) (lightautoml.automl.presets.whitebox_presets.WhiteBoxPreset method) (lightautoml.ml_algo.base.MLAlgo method) (lightautoml.ml_algo.base.TabularMLAlgo method) (lightautoml.ml_algo.dl_model.TorchModel method) (lightautoml.pipelines.ml.base.MLPipeline method) (lightautoml.pipelines.ml.whitebox_ml_pipe.WBPipeline method) (lightautoml.report.report_deco.ReportDeco method) (lightautoml.report.report_deco.ReportDecoWhitebox method) fit_predict_single_fold() (lightautoml.ml_algo.base.TabularMLAlgo method) (lightautoml.ml_algo.boost_cb.BoostCB method) (lightautoml.ml_algo.boost_lgbm.BoostLGBM method) (lightautoml.ml_algo.dl_model.TorchModel method) (lightautoml.ml_algo.linear_sklearn.LinearL1CD method) (lightautoml.ml_algo.linear_sklearn.LinearLBFGS method) (lightautoml.ml_algo.whitebox.WbMLAlgo method) (lightautoml.pipelines.ml.nested_ml_pipe.NestedTabularMLAlgo method) fit_read() (lightautoml.reader.base.PandasToPandasReader method) (lightautoml.reader.base.Reader method) fit_transform() (lightautoml.pipelines.features.base.FeaturesPipeline method) (lightautoml.transformers.base.BestOfTransformers method) (lightautoml.transformers.base.ColumnwiseUnion method) (lightautoml.transformers.base.LAMLTransformer method) (lightautoml.transformers.base.SequentialTransformer method) (lightautoml.transformers.base.UnionTransformer method) (lightautoml.transformers.categorical.MultiClassTargetEncoder method) (lightautoml.transformers.categorical.TargetEncoder method) (lightautoml.transformers.text.OneToOneTransformer method) FoldsIterator (class in lightautoml.validation.np_iterators) FoldsRole (class in lightautoml.dataset.roles) forward() (lightautoml.image.image.TimmModelEmbedder method) (lightautoml.ml_algo.torch_based.nn_models.DenseLightModel method) (lightautoml.ml_algo.torch_based.nn_models.DenseModel method) (lightautoml.ml_algo.torch_based.nn_models.ResNetModel method) (lightautoml.ml_algo.torch_based.nn_models.SequenceAbstractPooler method) (lightautoml.ml_algo.torch_based.nn_models.SequenceAvgPooler method) (lightautoml.ml_algo.torch_based.nn_models.SequenceClsPooler method) (lightautoml.ml_algo.torch_based.nn_models.SequenceIndentityPooler method) (lightautoml.ml_algo.torch_based.nn_models.SequenceMaxPooler method) (lightautoml.ml_algo.torch_based.nn_models.SequenceSumPooler method) (lightautoml.ml_algo.torch_based.nn_models.SNN method) (lightautoml.tasks.losses.torch.TorchLossWrapper method) (lightautoml.text.dl_transformers.BertEmbedder method) (lightautoml.text.dl_transformers.BOREP method) (lightautoml.text.dl_transformers.RandomLSTM method) freeze() (lightautoml.text.dl_transformers.BertEmbedder method) FreqEncoder (class in lightautoml.transformers.categorical) from_dataset() (lightautoml.dataset.base.LAMLDataset static method) (lightautoml.dataset.np_pd_dataset.CSRSparseDataset static method) (lightautoml.dataset.np_pd_dataset.NumpyDataset static method) (lightautoml.dataset.np_pd_dataset.PandasDataset static method) from_reader() (lightautoml.reader.base.Reader class method) from_string() (lightautoml.dataset.roles.ColumnRole static method) fw_func (lightautoml.tasks.losses.base.Loss property)

G

get_binned_data() (lightautoml.pipelines.features.base.TabularDataFeatures method) get_categorical_intersections() (lightautoml.pipelines.features.base.TabularDataFeatures method) get_categorical_raw() (lightautoml.pipelines.features.base.TabularDataFeatures method) get_cols_for_datetime() (lightautoml.pipelines.features.base.TabularDataFeatures static method) get_columns_by_role() (in module lightautoml.pipelines.utils) get_common_concat() (in module lightautoml.dataset.utils) get_config() (lightautoml.automl.presets.base.AutoMLPreset class method) get_dataloaders_from_dicts() (lightautoml.ml_algo.dl_model.TorchModel method) get_dataset_metric() (lightautoml.tasks.base.Task method) get_datetime_diffs() (lightautoml.pipelines.features.base.TabularDataFeatures method) get_datetime_seasons() (lightautoml.pipelines.features.base.TabularDataFeatures method) get_feature_pipeline() (lightautoml.automl.presets.tabular_presets.TabularAutoML method) get_features_score() (lightautoml.ml_algo.boost_cb.BoostCB method) (lightautoml.ml_algo.boost_lgbm.BoostLGBM method) (lightautoml.pipelines.ml.nested_ml_pipe.NestedTabularMLAlgo method) (lightautoml.pipelines.selection.base.ImportanceEstimator method) (lightautoml.pipelines.selection.base.SelectionPipeline method) get_freq_encoding() (lightautoml.pipelines.features.base.TabularDataFeatures static method) get_groupby() (lightautoml.pipelines.features.base.TabularDataFeatures method) get_mean_target() (lightautoml.ml_algo.dl_model.TorchModel static method) get_name() (lightautoml.text.dl_transformers.BertEmbedder method) (lightautoml.text.dl_transformers.BOREP method) (lightautoml.text.dl_transformers.DLTransformer method) (lightautoml.text.dl_transformers.RandomLSTM method) (lightautoml.text.weighted_average_transformer.WeightedAverageTransformer method)

get_numeric_data() (lightautoml.pipelines.features.base.TabularDataFeatures static method) get_numpy_iterator() (in module lightautoml.validation.np_iterators) get_ordinal_encoding() (lightautoml.pipelines.features.base.TabularDataFeatures method) get_out_shape() (lightautoml.text.dl_transformers.BertEmbedder method) (lightautoml.text.dl_transformers.BOREP method) (lightautoml.text.dl_transformers.DLTransformer method) (lightautoml.text.dl_transformers.RandomLSTM method) (lightautoml.text.weighted_average_transformer.WeightedAverageTransformer method) get_run_results() (lightautoml.utils.timer.TaskTimer method) get_run_scores() (lightautoml.utils.timer.TaskTimer method) get_shape() (lightautoml.image.image.TimmModelEmbedder method) get_statistic() (lightautoml.text.weighted_average_transformer.WeightedAverageTransformer method) get_target_encoder() (lightautoml.pipelines.features.base.TabularDataFeatures method) get_textarr_hash() (in module lightautoml.text.utils) get_top_categories() (lightautoml.pipelines.features.base.TabularDataFeatures method) get_top_numeric() (lightautoml.pipelines.features.base.TabularDataFeatures method) get_uniques_cnt() (lightautoml.pipelines.features.base.TabularDataFeatures method) get_validation_data() (lightautoml.validation.base.CustomIterator method) (lightautoml.validation.base.DummyIterator method) (lightautoml.validation.base.HoldoutIterator method) (lightautoml.validation.base.TrainValidIterator method) (lightautoml.validation.np_iterators.FoldsIterator method) group_match() (lightautoml.addons.hypex.algorithms.faiss_matcher.FaissMatcher method) GroupRole (class in lightautoml.dataset.roles)

H

HighCorrRemoval (class in lightautoml.pipelines.selection.linear_selector)

HoldoutIterator (class in lightautoml.validation.base)

I

ImageAutoFeatures (class in lightautoml.pipelines.features.image_pipeline) ImageDataFeatures (class in lightautoml.pipelines.features.image_pipeline) ImageFeaturesTransformer (class in lightautoml.transformers.image) ImageSimpleFeatures (class in lightautoml.pipelines.features.image_pipeline) ImageTimmDataset (class in lightautoml.image.image) ImportanceCutoffSelector (class in lightautoml.pipelines.selection.importance_based) ImportanceEstimator (class in lightautoml.pipelines.selection.base) in_features (lightautoml.pipelines.selection.base.SelectionPipeline property) in_progress (lightautoml.utils.timer.TaskTimer property) infer_auto_params() (lightautoml.automl.presets.whitebox_presets.WhiteBoxPreset method) init_params_on_input() (lightautoml.ml_algo.base.MLAlgo method) (lightautoml.ml_algo.boost_cb.BoostCB method) (lightautoml.ml_algo.boost_lgbm.BoostLGBM method) (lightautoml.ml_algo.dl_model.TorchModel method) (lightautoml.ml_algo.linear_sklearn.LinearL1CD method) (lightautoml.pipelines.ml.nested_ml_pipe.NestedTabularMLAlgo method) (lightautoml.transformers.text.OneToOneTransformer method) (lightautoml.transformers.text.TfidfTextTransformer method) (lightautoml.transformers.text.TunableTransformer method)

input_features (lightautoml.pipelines.features.base.FeaturesPipeline property) inverse_roles (lightautoml.dataset.base.LAMLDataset property) is_fitted (lightautoml.ml_algo.base.MLAlgo property) (lightautoml.pipelines.selection.base.SelectionPipeline property)

L

LabelEncoder (class in lightautoml.transformers.categorical) lama_feature_select() (lightautoml.addons.hypex.matcher.Matcher method) LamaFeatureSelector (class in lightautoml.addons.hypex.selectors.lama_feature_selector) LAMLColumn (class in lightautoml.dataset.base) LAMLDataset (class in lightautoml.dataset.base) LAMLTransformer (class in lightautoml.transformers.base) lgb_f1_loss_multiclass() (in module lightautoml.tasks.losses.lgb_custom) LGBAdvancedPipeline (class in lightautoml.pipelines.features.lgb_pipeline)

LGBFunc (class in lightautoml.tasks.losses.lgb) LGBLoss (class in lightautoml.tasks.losses.lgb) LGBSimpleFeatures (class in lightautoml.pipelines.features.lgb_pipeline) LinearFeatures (class in lightautoml.pipelines.features.linear_pipeline) LinearL1CD (class in lightautoml.ml_algo.linear_sklearn) LinearLBFGS (class in lightautoml.ml_algo.linear_sklearn) load() (lightautoml.addons.hypex.matcher.Matcher class method) LogOdds (class in lightautoml.transformers.numeric) Loss (class in lightautoml.tasks.losses.base)

M

map_pipeline_names() (in module lightautoml.pipelines.utils) map_raw_feature_importances() (lightautoml.pipelines.selection.base.SelectionPipeline method) match() (lightautoml.addons.hypex.algorithms.faiss_matcher.FaissMatcher method) (lightautoml.addons.hypex.algorithms.no_replacement_matching.MatcherNoReplacement method) match_no_rep() (lightautoml.addons.hypex.matcher.Matcher method) Matcher (class in lightautoml.addons.hypex.matcher) MatcherNoReplacement (class in lightautoml.addons.hypex.algorithms.no_replacement_matching) matching_quality() (lightautoml.addons.hypex.algorithms.faiss_matcher.FaissMatcher method) mean_absolute_percentage_error() (in module lightautoml.tasks.common_metric) mean_fair_error() (in module lightautoml.tasks.common_metric) mean_huber_error() (in module lightautoml.tasks.common_metric)

mean_quantile_error() (in module lightautoml.tasks.common_metric) MeanBlender (class in lightautoml.automl.blend) metric_wrapper() (lightautoml.tasks.losses.base.Loss method) (lightautoml.tasks.losses.lgb.LGBLoss method) MetricFunc (class in lightautoml.tasks.losses.base) MLAlgo (class in lightautoml.ml_algo.base) MLP (class in lightautoml.ml_algo.torch_based.nn_models) MLPipeline (class in lightautoml.pipelines.ml.base) model (lightautoml.report.report_deco.ReportDeco property) (lightautoml.report.report_deco.ReportDecoWhitebox property) ModelBasedImportanceEstimator (class in lightautoml.pipelines.selection.importance_based) MultiClassTargetEncoder (class in lightautoml.transformers.categorical)

N

name (lightautoml.dataset.roles.ColumnRole property) (lightautoml.ml_algo.base.MLAlgo property) (lightautoml.tasks.base.Task property) nan_rate() (lightautoml.dataset.np_pd_dataset.PandasDataset method) NaNFlags (class in lightautoml.transformers.numeric) NestedTabularMLAlgo (class in lightautoml.pipelines.ml.nested_ml_pipe) NestedTabularMLPipeline (class in lightautoml.pipelines.ml.nested_ml_pipe)

NLPDataFeatures (class in lightautoml.pipelines.features.text_pipeline) NLPTFiDFFeatures (class in lightautoml.pipelines.features.text_pipeline) NpIterativeFeatureSelector (class in lightautoml.pipelines.selection.permutation_importance_based) NpPermutationImportanceEstimator (class in lightautoml.pipelines.selection.permutation_importance_based) NumericRole (class in lightautoml.dataset.roles) numpy_and_pandas_concat() (in module lightautoml.dataset.utils) NumpyDataset (class in lightautoml.dataset.np_pd_dataset)

O

OHEEncoder (class in lightautoml.transformers.categorical) OneToOneTransformer (class in lightautoml.transformers.text) OptunaTuner (class in lightautoml.ml_algo.tuning.optuna)

OrdinalEncoder (class in lightautoml.transformers.categorical) OutliersFilter (class in lightautoml.addons.hypex.selectors.outliers_filter) output_features (lightautoml.pipelines.features.base.FeaturesPipeline property)

P

PandasDataset (class in lightautoml.dataset.np_pd_dataset) PandasToPandasReader (class in lightautoml.reader.base) params (lightautoml.ml_algo.base.MLAlgo property) (lightautoml.pipelines.ml.nested_ml_pipe.NestedTabularMLAlgo property) (lightautoml.transformers.text.TunableTransformer property) ParamsTuner (class in lightautoml.ml_algo.tuning.base) parse_devices() (in module lightautoml.text.utils) PathRole (class in lightautoml.dataset.roles) PCATransformer (class in lightautoml.transformers.decomposition) perform_filter() (lightautoml.addons.hypex.selectors.outliers_filter.OutliersFilter method) (lightautoml.addons.hypex.selectors.spearman_filter.SpearmanFilter method) perform_selection() (lightautoml.addons.hypex.selectors.lama_feature_selector.LamaFeatureSelector method) (lightautoml.pipelines.selection.base.SelectionPipeline method) (lightautoml.pipelines.selection.importance_based.ImportanceCutoffSelector method) (lightautoml.pipelines.selection.linear_selector.HighCorrRemoval method) (lightautoml.pipelines.selection.permutation_importance_based.NpIterativeFeatureSelector method) pil_loader() (in module lightautoml.image.utils) PipelineTimer (class in lightautoml.utils.timer) plot() (lightautoml.ml_algo.tuning.optuna.DLOptunaTuner method) (lightautoml.ml_algo.tuning.optuna.OptunaTuner method) postprocess_sentence() (lightautoml.text.tokenizer.BaseTokenizer method) (lightautoml.text.tokenizer.SimpleEnTokenizer method) (lightautoml.text.tokenizer.SimpleRuTokenizer method) postprocess_tokens() (lightautoml.text.tokenizer.BaseTokenizer method) (lightautoml.text.tokenizer.SimpleEnTokenizer method) (lightautoml.text.tokenizer.SimpleRuTokenizer method)

predict() (lightautoml.addons.utilization.utilization.TimeUtilization method) (lightautoml.automl.base.AutoML method) (lightautoml.automl.blend.Blender method) (lightautoml.automl.presets.tabular_presets.TabularAutoML method) (lightautoml.automl.presets.text_presets.TabularNLPAutoML method) (lightautoml.automl.presets.whitebox_presets.WhiteBoxPreset method) (lightautoml.ml_algo.base.MLAlgo method) (lightautoml.ml_algo.base.TabularMLAlgo method) (lightautoml.ml_algo.whitebox.WbMLAlgo method) (lightautoml.pipelines.ml.base.MLPipeline method) (lightautoml.pipelines.ml.whitebox_ml_pipe.WBPipeline method) (lightautoml.report.report_deco.ReportDeco method) (lightautoml.report.report_deco.ReportDecoWhitebox method) predict_single_fold() (lightautoml.ml_algo.base.TabularMLAlgo method) (lightautoml.ml_algo.boost_cb.BoostCB method) (lightautoml.ml_algo.boost_lgbm.BoostLGBM method) (lightautoml.ml_algo.dl_model.TorchModel method) (lightautoml.ml_algo.linear_sklearn.LinearL1CD method) (lightautoml.ml_algo.linear_sklearn.LinearLBFGS method) (lightautoml.ml_algo.whitebox.WbMLAlgo method) (lightautoml.pipelines.ml.nested_ml_pipe.NestedTabularMLAlgo method) preprocess_sentence() (lightautoml.text.tokenizer.BaseTokenizer method) (lightautoml.text.tokenizer.SimpleEnTokenizer method) (lightautoml.text.tokenizer.SimpleRuTokenizer method) process() (lightautoml.image.image.CreateImageFeatures method) prune_algos() (lightautoml.pipelines.ml.base.MLPipeline method)

Q

QuantileBinning (class in lightautoml.transformers.numeric)

QuantileTransformer (class in lightautoml.transformers.numeric)

R

RandomLSTM (class in lightautoml.text.dl_transformers) read() (lightautoml.reader.base.PandasToPandasReader method) (lightautoml.reader.base.Reader method) read_batch() (in module lightautoml.reader.tabular_batch_generator) read_data() (in module lightautoml.reader.tabular_batch_generator) Reader (class in lightautoml.reader.base) reg_score_func() (lightautoml.transformers.categorical.TargetEncoder static method) report_view() (lightautoml.addons.hypex.algorithms.faiss_matcher.FaissMatcher method) ReportDeco (class in lightautoml.report.report_deco)

ReportDecoWhitebox (class in lightautoml.report.report_deco) reset_parameters() (lightautoml.ml_algo.torch_based.nn_models.SNN method) reset_statistic() (lightautoml.text.weighted_average_transformer.WeightedAverageTransformer method) ResNetModel (class in lightautoml.ml_algo.torch_based.nn_models) rmsle() (in module lightautoml.tasks.common_metric) roc_auc_ovr() (in module lightautoml.tasks.common_metric) roles (lightautoml.dataset.base.LAMLDataset property) (lightautoml.dataset.np_pd_dataset.NumpyDataset property) (lightautoml.reader.base.Reader property) roles_parser() (in module lightautoml.dataset.utils)

S

save() (lightautoml.addons.hypex.matcher.Matcher method) score() (lightautoml.automl.blend.Blender method) (lightautoml.ml_algo.base.MLAlgo method) score_func() (lightautoml.transformers.categorical.MultiClassTargetEncoder static method) seed_everything() (in module lightautoml.text.utils) select() (lightautoml.pipelines.selection.base.SelectionPipeline method) selected_features (lightautoml.pipelines.selection.base.SelectionPipeline property) SelectionPipeline (class in lightautoml.pipelines.selection.base) SequenceAbstractPooler (class in lightautoml.ml_algo.torch_based.nn_models) SequenceAvgPooler (class in lightautoml.ml_algo.torch_based.nn_models) SequenceClsPooler (class in lightautoml.ml_algo.torch_based.nn_models) SequenceIndentityPooler (class in lightautoml.ml_algo.torch_based.nn_models) SequenceMaxPooler (class in lightautoml.ml_algo.torch_based.nn_models) SequenceSumPooler (class in lightautoml.ml_algo.torch_based.nn_models) SequentialTransformer (class in lightautoml.transformers.base) set_callback_metric() (lightautoml.tasks.losses.base.Loss method) (lightautoml.tasks.losses.cb.CBLoss method) (lightautoml.tasks.losses.lgb.LGBLoss method) (lightautoml.tasks.losses.sklearn.SKLoss method) set_control_point() (lightautoml.utils.timer.TaskTimer method) set_data() (lightautoml.dataset.base.LAMLDataset method) (lightautoml.dataset.np_pd_dataset.CSRSparseDataset method) (lightautoml.dataset.np_pd_dataset.NumpyDataset method) (lightautoml.dataset.np_pd_dataset.PandasDataset method)

set_prefix() (lightautoml.ml_algo.base.MLAlgo method) set_timer() (lightautoml.ml_algo.base.MLAlgo method) set_verbosity_level() (lightautoml.automl.presets.base.AutoMLPreset static method) shape (lightautoml.dataset.base.LAMLDataset property) (lightautoml.dataset.np_pd_dataset.CSRSparseDataset property) SimpleEnTokenizer (class in lightautoml.text.tokenizer) SimpleRuTokenizer (class in lightautoml.text.tokenizer) single_text_hash() (in module lightautoml.text.utils) SKLoss (class in lightautoml.tasks.losses.sklearn) SNN (class in lightautoml.ml_algo.torch_based.nn_models) softmax_ax1() (in module lightautoml.tasks.losses.lgb_custom) SpearmanFilter (class in lightautoml.addons.hypex.selectors.spearman_filter) split_by_dates() (lightautoml.validation.np_iterators.TimeSeriesIterator static method) split_by_parts() (lightautoml.validation.np_iterators.TimeSeriesIterator static method) split_models() (lightautoml.automl.blend.Blender method) split_timer() (lightautoml.utils.timer.TaskTimer method) StandardScaler (class in lightautoml.transformers.numeric) start() (lightautoml.utils.timer.TaskTimer method) SVDTransformer (class in lightautoml.transformers.decomposition)

T

TabularAutoML (class in lightautoml.automl.presets.tabular_presets) TabularDataFeatures (class in lightautoml.pipelines.features.base) TabularMLAlgo (class in lightautoml.ml_algo.base) TabularNLPAutoML (class in lightautoml.automl.presets.text_presets) TabularUtilizedAutoML (class in lightautoml.automl.presets.tabular_presets) TargetEncoder (class in lightautoml.transformers.categorical) TargetRole (class in lightautoml.dataset.roles) Task (class in lightautoml.tasks.base) TaskTimer (class in lightautoml.utils.timer) TextAutoFeatures (class in lightautoml.pipelines.features.text_pipeline) TextBertFeatures (class in lightautoml.pipelines.features.text_pipeline) TextRole (class in lightautoml.dataset.roles) TfidfTextTransformer (class in lightautoml.transformers.text) time_limit_exceeded() (lightautoml.utils.timer.TaskTimer method) Timer (class in lightautoml.utils.timer) TimeSeriesIterator (class in lightautoml.validation.np_iterators) TimeToNum (class in lightautoml.transformers.datetime) TimeUtilization (class in lightautoml.addons.utilization.utilization) TimmModelEmbedder (class in lightautoml.image.image) to_csr() (lightautoml.dataset.np_pd_dataset.NumpyDataset method) to_numpy() (lightautoml.dataset.np_pd_dataset.CSRSparseDataset method) (lightautoml.dataset.np_pd_dataset.NumpyDataset method) (lightautoml.dataset.np_pd_dataset.PandasDataset method) to_pandas() (lightautoml.dataset.np_pd_dataset.CSRSparseDataset method) (lightautoml.dataset.np_pd_dataset.NumpyDataset method) (lightautoml.dataset.np_pd_dataset.PandasDataset method) tokenize() (lightautoml.text.tokenizer.BaseTokenizer method) tokenize_sentence() (lightautoml.text.tokenizer.BaseTokenizer method) (lightautoml.text.tokenizer.SimpleEnTokenizer method) (lightautoml.text.tokenizer.SimpleRuTokenizer method) TokenizerTransformer (class in lightautoml.transformers.text) torch_f1() (in module lightautoml.tasks.losses.torch) torch_fair() (in module lightautoml.tasks.losses.torch) torch_huber() (in module lightautoml.tasks.losses.torch) torch_mape() (in module lightautoml.tasks.losses.torch) torch_quantile() (in module lightautoml.tasks.losses.torch) torch_rmsle() (in module lightautoml.tasks.losses.torch) TORCHLoss (class in lightautoml.tasks.losses.torch) TorchLossWrapper (class in lightautoml.tasks.losses.torch)

TorchModel (class in lightautoml.ml_algo.dl_model) TorchSimpleFeatures (class in lightautoml.pipelines.features.torch_pipeline) TrainValidIterator (class in lightautoml.validation.base) transform() (lightautoml.image.image.CreateImageFeatures method) (lightautoml.image.image.DeepTimmImageEmbedder method) (lightautoml.pipelines.features.base.FeaturesPipeline method) (lightautoml.text.dl_transformers.DLTransformer method) (lightautoml.transformers.base.BestOfTransformers method) (lightautoml.transformers.base.ChangeRoles method) (lightautoml.transformers.base.ColumnsSelector method) (lightautoml.transformers.base.ConvertDataset method) (lightautoml.transformers.base.LAMLTransformer method) (lightautoml.transformers.base.SequentialTransformer method) (lightautoml.transformers.base.UnionTransformer method) (lightautoml.transformers.categorical.CatIntersectstions method) (lightautoml.transformers.categorical.LabelEncoder method) (lightautoml.transformers.categorical.MultiClassTargetEncoder method) (lightautoml.transformers.categorical.OHEEncoder method) (lightautoml.transformers.categorical.TargetEncoder method) (lightautoml.transformers.datetime.BaseDiff method) (lightautoml.transformers.datetime.DateSeasons method) (lightautoml.transformers.datetime.TimeToNum method) (lightautoml.transformers.decomposition.PCATransformer method) (lightautoml.transformers.decomposition.SVDTransformer method) (lightautoml.transformers.image.AutoCVWrap method) (lightautoml.transformers.image.ImageFeaturesTransformer method) (lightautoml.transformers.numeric.FillInf method) (lightautoml.transformers.numeric.FillnaMean method) (lightautoml.transformers.numeric.FillnaMedian method) (lightautoml.transformers.numeric.LogOdds method) (lightautoml.transformers.numeric.NaNFlags method) (lightautoml.transformers.numeric.QuantileBinning method) (lightautoml.transformers.numeric.QuantileTransformer method) (lightautoml.transformers.numeric.StandardScaler method) (lightautoml.transformers.text.AutoNLPWrap method) (lightautoml.transformers.text.ConcatTextTransformer method) (lightautoml.transformers.text.OneToOneTransformer method) (lightautoml.transformers.text.TfidfTextTransformer method) (lightautoml.transformers.text.TokenizerTransformer method) TunableTransformer (class in lightautoml.transformers.text)

U

UnionTransformer (class in lightautoml.transformers.base) upd_model_names() (lightautoml.pipelines.ml.base.MLPipeline method) upd_used_features() (lightautoml.reader.base.Reader method)

used_array_attrs (lightautoml.reader.base.Reader property) used_features (lightautoml.pipelines.features.base.FeaturesPipeline property) (lightautoml.reader.base.Reader property)

V

validate_result() (lightautoml.addons.hypex.matcher.Matcher method)

W

WBFeatures (class in lightautoml.pipelines.features.wb_pipeline) WbMLAlgo (class in lightautoml.ml_algo.whitebox) WBPipeline (class in lightautoml.pipelines.ml.whitebox_ml_pipe) WeightedAverageTransformer (class in lightautoml.text.weighted_average_transformer) WeightedBlender (class in lightautoml.automl.blend)

WeightsRole (class in lightautoml.dataset.roles) whitebox (lightautoml.automl.presets.whitebox_presets.WhiteBoxPreset property) (lightautoml.pipelines.ml.whitebox_ml_pipe.WBPipeline property) WhiteBoxPreset (class in lightautoml.automl.presets.whitebox_presets) write_run_info() (lightautoml.utils.timer.TaskTimer method)