Index

_

__check_common_line_params() (in module anomalearn.visualizer.line_plots) __contains__() (anomalearn.applications.ExperimentLoader.ExperimentLoader method), [1] (anomalearn.applications.IExperimentLoader.IExperimentLoader method), [1] __cross_val_generator (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC attribute) __delitem__() (anomalearn.applications.ExperimentLoader.ExperimentLoader method), [1] (anomalearn.applications.IExperimentLoader.IExperimentLoader method), [1] __eq__() (anomalearn.abc.EqualityABC method), [1] (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference.BuilderErrorVectorsAbsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference.BuilderErrorVectorsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm.BuilderErrorVectorsNorm method), [1] (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct method), [1] (anomalearn.algorithms.SavableModel.SavableModel method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method), [1] (anomalearn.applications.ExperimentLoader.ExperimentLoader method), [1] __getitem__() (anomalearn.abc.ObtainableABC method), [1] (anomalearn.applications.ExperimentLoader.ExperimentLoader method), [1] (anomalearn.applications.IExperimentLoader.IExperimentLoader method), [1] (anomalearn.reader.time_series.ExathlonReader.ExathlonReader method), [1] (anomalearn.reader.time_series.GHLReader.GHLReader method), [1] (anomalearn.reader.time_series.KitsuneReader.KitsuneReader method), [1] (anomalearn.reader.time_series.MGABReader.MGABReader method), [1] (anomalearn.reader.time_series.NABReader.NABReader method), [1] (anomalearn.reader.time_series.NASAReader.NASAReader method), [1] (anomalearn.reader.time_series.SMDReader.SMDReader method), [1] (anomalearn.reader.time_series.UCRReader.UCRReader method), [1] (anomalearn.reader.time_series.YahooS5Reader.YahooS5Reader method), [1] __invalid_skopt_kwargs (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC attribute) __iter__() (anomalearn.abc.ObtainableABC method), [1] __json_file (anomalearn.algorithms.pipelines.Pipeline.Pipeline attribute) (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal attribute) (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast attribute) (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct attribute) (anomalearn.algorithms.SavableModel.SavableModel attribute) __json_references (anomalearn.algorithms.pipelines.Pipeline.Pipeline attribute) __json_signature (anomalearn.algorithms.SavableModel.SavableModel attribute) __len__() (anomalearn.abc.ObtainableABC method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] (anomalearn.applications.ExperimentLoader.ExperimentLoader method), [1] (anomalearn.applications.IExperimentLoader.IExperimentLoader method), [1] (anomalearn.reader.time_series.ExathlonReader.ExathlonReader method), [1] (anomalearn.reader.time_series.GHLReader.GHLReader method), [1] (anomalearn.reader.time_series.KitsuneReader.KitsuneReader method), [1] (anomalearn.reader.time_series.MGABReader.MGABReader method), [1] (anomalearn.reader.time_series.NABReader.NABReader method), [1] (anomalearn.reader.time_series.NASAReader.NASAReader method), [1] (anomalearn.reader.time_series.SMDReader.SMDReader method), [1] (anomalearn.reader.time_series.UCRReader.UCRReader method), [1] (anomalearn.reader.time_series.YahooS5Reader.YahooS5Reader method), [1] __line_plot() (in module anomalearn.visualizer.line_plots) __logger (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch.HyperparameterSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearchResults.HyperparameterSearchResults attribute) (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC attribute) (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch attribute) (anomalearn.applications.ExperimentLoader.ExperimentLoader attribute), [1] (anomalearn.reader.time_series.ExathlonReader.ExathlonReader attribute) (anomalearn.reader.time_series.GHLReader.GHLReader attribute) (anomalearn.reader.time_series.KitsuneReader.KitsuneReader attribute) (anomalearn.reader.time_series.MGABReader.MGABReader attribute) (anomalearn.reader.time_series.NABReader.NABReader attribute) (anomalearn.reader.time_series.NASAReader.NASAReader attribute) (anomalearn.reader.time_series.ODINTSReader.ODINTSReader attribute) (anomalearn.reader.time_series.SMDReader.SMDReader attribute) (anomalearn.reader.time_series.TSMultipleReader.TSMultipleReader attribute) (anomalearn.reader.time_series.TSReader.TSReader attribute) (anomalearn.reader.time_series.UCRReader.UCRReader attribute) (anomalearn.reader.time_series.YahooS5Reader.YahooS5Reader attribute) __minimized_objective (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC attribute) __module_logger (anomalearn.abc attribute) (anomalearn.algorithms.algo_functions attribute) (anomalearn.analysis.dataset_simplicity attribute) (anomalearn.utils.estimation attribute) (anomalearn.utils.filesystem attribute) (anomalearn.utils.lists attribute) (anomalearn.utils.metrics attribute) (anomalearn.utils.scikit attribute) __ne__() (anomalearn.abc.EqualityABC method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference.BuilderErrorVectorsAbsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference.BuilderErrorVectorsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm.BuilderErrorVectorsNorm method), [1] (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct method), [1] (anomalearn.algorithms.SavableModel.SavableModel method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method), [1] __numpy_file (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian attribute) (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis attribute) __repr__() (anomalearn.abc.RepresentableABC method), [1] (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference.BuilderErrorVectorsAbsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference.BuilderErrorVectorsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm.BuilderErrorVectorsNorm method), [1] (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct method), [1] (anomalearn.algorithms.SavableModel.SavableModel method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method), [1] __reversed__() (anomalearn.abc.ObtainableABC method), [1] __scikit_file (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest attribute) (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler attribute) (anomalearn.algorithms.transformers.StandardScaler.StandardScaler attribute) __set_lim() (in module anomalearn.visualizer.line_plots) __setitem__() (anomalearn.applications.ExperimentLoader.ExperimentLoader method), [1] (anomalearn.applications.IExperimentLoader.IExperimentLoader method), [1] __sliding_window (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow attribute) __str__() (anomalearn.abc.StringableABC method), [1] (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference.BuilderErrorVectorsAbsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference.BuilderErrorVectorsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm.BuilderErrorVectorsNorm method), [1] (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct method), [1] (anomalearn.algorithms.SavableModel.SavableModel method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method), [1] (anomalearn.applications.ExperimentLoader.ExperimentLoader method), [1] __subclasshook__() (anomalearn.abc.EqualityABC class method), [1] (anomalearn.abc.FullyRepresentableABC class method), [1] (anomalearn.abc.ObtainableABC class method), [1] (anomalearn.abc.RepresentableABC class method), [1] (anomalearn.abc.StringableABC class method), [1] __to_create_str (anomalearn.algorithms.pipelines.Pipeline.Pipeline attribute) __to_load_str (anomalearn.algorithms.pipelines.Pipeline.Pipeline attribute) __train_test_data (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC attribute) __x (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC attribute) __y (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC attribute) _add_information() (anomalearn.reader.time_series.ODINTSReader.ODINTSReader method) _add_search_entry() (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch method) (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch method) (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch method) (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch.HyperparameterSearch method) (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC method) (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch method) _all_benchmarks (anomalearn.reader.time_series.YahooS5Reader.YahooS5Reader attribute) _all_dataframes (anomalearn.reader.time_series.TSMultipleReader.TSMultipleReader attribute) _all_datasets (anomalearn.reader.time_series.UCRReader.UCRReader attribute) _all_modes (anomalearn.reader.time_series.ExathlonReader.ExathlonReader attribute) _all_test_sets_paths (anomalearn.reader.time_series.GHLReader.GHLReader attribute) _allowed_models (anomalearn.algorithms.pipelines.Pipeline.Pipeline attribute) _allowed_processing (anomalearn.algorithms.pipelines.Pipeline.Pipeline attribute) _analyse_constant_simplicity() (in module anomalearn.analysis.dataset_simplicity) _anomalies_df (anomalearn.reader.time_series.NASAReader.NASAReader attribute) _anomalies_path (anomalearn.reader.time_series.NASAReader.NASAReader attribute) _anomaly_type (anomalearn.reader.time_series.ODINTSReader.ODINTSReader attribute) _benchmark_location (anomalearn.reader.time_series.ExathlonReader.ExathlonReader attribute) (anomalearn.reader.time_series.GHLReader.GHLReader attribute) (anomalearn.reader.time_series.KitsuneReader.KitsuneReader attribute) (anomalearn.reader.time_series.MGABReader.MGABReader attribute) (anomalearn.reader.time_series.NABReader.NABReader attribute) (anomalearn.reader.time_series.SMDReader.SMDReader attribute) (anomalearn.reader.time_series.TSBenchmarkReader.TSBenchmarkReader attribute) (anomalearn.reader.time_series.UCRReader.UCRReader attribute) (anomalearn.reader.time_series.YahooS5Reader.YahooS5Reader attribute) _benchmark_path (anomalearn.reader.time_series.ExathlonReader.ExathlonReader attribute) (anomalearn.reader.time_series.GHLReader.GHLReader attribute) (anomalearn.reader.time_series.KitsuneReader.KitsuneReader attribute) (anomalearn.reader.time_series.MGABReader.MGABReader attribute) (anomalearn.reader.time_series.NABReader.NABReader attribute) (anomalearn.reader.time_series.SMDReader.SMDReader attribute) (anomalearn.reader.time_series.TSBenchmarkReader.TSBenchmarkReader attribute) (anomalearn.reader.time_series.UCRReader.UCRReader attribute) (anomalearn.reader.time_series.YahooS5Reader.YahooS5Reader attribute) _binary_confusion_matrix() (in module anomalearn.utils.metrics) _build_input_dict() (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch method) (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch method) (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch method) (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch.HyperparameterSearch method) (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC method) (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch method)

_call_model() (anomalearn.algorithms.pipelines.Pipeline.Pipeline method) _call_processing() (anomalearn.algorithms.pipelines.Pipeline.Pipeline method) _channels (anomalearn.reader.time_series.NASAReader.NASAReader attribute) _check_analysis_inputs() (in module anomalearn.analysis.dataset_simplicity) _check_binary_input() (in module anomalearn.utils.metrics) _check_methods() (in module anomalearn.abc) _combined_windows (anomalearn.reader.time_series.NABReader.NABReader attribute) _cov (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian attribute), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis attribute), [1] _create_result_history() (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch method) (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch method) (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch method) (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch.HyperparameterSearch method) (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC method) (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch method) _dataset (anomalearn.reader.time_series.ExathlonReader.ExathlonReader attribute) (anomalearn.reader.time_series.GHLReader.GHLReader attribute) (anomalearn.reader.time_series.KitsuneReader.KitsuneReader attribute) (anomalearn.reader.time_series.MGABReader.MGABReader attribute) (anomalearn.reader.time_series.NABReader.NABReader attribute) (anomalearn.reader.time_series.NASAReader.NASAReader attribute) (anomalearn.reader.time_series.ODINTSReader.ODINTSReader attribute) (anomalearn.reader.time_series.SMDReader.SMDReader attribute) (anomalearn.reader.time_series.TSBenchmarkReader.TSBenchmarkReader attribute) (anomalearn.reader.time_series.TSMultipleReader.TSMultipleReader attribute) (anomalearn.reader.time_series.TSReader.TSReader attribute) (anomalearn.reader.time_series.UCRReader.UCRReader attribute) (anomalearn.reader.time_series.YahooS5Reader.YahooS5Reader attribute) _datasets (anomalearn.reader.time_series.KitsuneReader.KitsuneReader attribute) _datasets_names (anomalearn.reader.time_series.NABReader.NABReader attribute) _datasets_paths (anomalearn.reader.time_series.NABReader.NABReader attribute) _day_col (anomalearn.reader.time_series.ODINTSReader.ODINTSReader attribute) _default_split (anomalearn.applications.ExperimentLoader.ExperimentLoader attribute), [1] _diff_numpy() (in module anomalearn.analysis.dataset_simplicity) _disturbed (anomalearn.reader.time_series.ExathlonReader.ExathlonReader attribute) _disturbed_paths (anomalearn.reader.time_series.ExathlonReader.ExathlonReader attribute) _duration (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch.HyperparameterSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC attribute) (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch attribute) _elements (anomalearn.algorithms.pipelines.Pipeline.Pipeline attribute), [1] _ExathlonReader__check_parameters() (anomalearn.reader.time_series.ExathlonReader.ExathlonReader method) _execute_layer() (anomalearn.algorithms.pipelines.Pipeline.Pipeline method) _execute_movement_simplicity() (in module anomalearn.analysis.dataset_simplicity) _ExperimentLoader__are_readers_equal() (anomalearn.applications.ExperimentLoader.ExperimentLoader static method) _ExperimentLoader__check_index() (anomalearn.applications.ExperimentLoader.ExperimentLoader method) _ExperimentLoader__fix_input_series() (anomalearn.applications.ExperimentLoader.ExperimentLoader static method) _ExperimentLoader__fix_input_split() (anomalearn.applications.ExperimentLoader.ExperimentLoader static method) _ExperimentLoader__fix_set_insert_input() (anomalearn.applications.ExperimentLoader.ExperimentLoader method) _fast_execute_mixed_score_simplicity() (in module anomalearn.analysis.dataset_simplicity) _fast_execute_movement_simplicity() (in module anomalearn.analysis.dataset_simplicity) _files_paths (anomalearn.reader.time_series.ExathlonReader.ExathlonReader attribute) _find_best_constants() (in module anomalearn.analysis.dataset_simplicity) _find_class_in_lib() (in module anomalearn.algorithms.algo_functions) _find_constant_score() (in module anomalearn.analysis.dataset_simplicity) _fix_numba_upper_lower() (in module anomalearn.analysis.dataset_simplicity) _get_all_params() (anomalearn.algorithms.BaseModel.BaseModel method) (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method) (anomalearn.algorithms.pipelines.AbstractPipelineBaseLayer.AbstractPipelineBaseLayer method) (anomalearn.algorithms.pipelines.AbstractPipelineSavableLayer.AbstractPipelineSavableLayer method) (anomalearn.algorithms.pipelines.IPipeline.IPipeline method) (anomalearn.algorithms.pipelines.Pipeline.Pipeline method) (anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference.BuilderErrorVectorsAbsDifference method) (anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference.BuilderErrorVectorsDifference method) (anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm.BuilderErrorVectorsNorm method) (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow method) (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method) (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method) (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method) (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast method) (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct method) (anomalearn.algorithms.SavableModel.SavableModel method) (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method) (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method) _get_connected_layers() (anomalearn.algorithms.pipelines.Pipeline.Pipeline method) _get_descending_score_tries() (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearchResults.HyperparameterSearchResults method) _get_final_model_tuple() (anomalearn.algorithms.pipelines.Pipeline.Pipeline method) _get_property() (in module anomalearn.utils.scikit) _get_referencing_layers() (anomalearn.algorithms.pipelines.Pipeline.Pipeline method) _get_windows_to_try() (in module anomalearn.analysis.dataset_simplicity) _GHLReader__check_parameters() (anomalearn.reader.time_series.GHLReader.GHLReader method) _gt (anomalearn.reader.time_series.ExathlonReader.ExathlonReader attribute) _history (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch.HyperparameterSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearchResults.HyperparameterSearchResults attribute) (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC attribute) (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch attribute) _interpretation (anomalearn.reader.time_series.SMDReader.SMDReader attribute) _inv_cov (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis attribute), [1] _isolation_forest (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest attribute), [1] _KitsuneReader__check_parameters() (anomalearn.reader.time_series.KitsuneReader.KitsuneReader method) _layer_num (anomalearn.algorithms.pipelines.Pipeline.Pipeline attribute), [1] _load_history() (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch method) (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch method) (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch method) (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch.HyperparameterSearch method) (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC method) (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch method) _machines (anomalearn.reader.time_series.SMDReader.SMDReader attribute) _max_int (anomalearn.reader.time_series.YahooS5Reader.YahooS5Reader attribute) _mean (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian attribute), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis attribute), [1] _min_max_scaler (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler attribute), [1] _mode (anomalearn.reader.time_series.ExathlonReader.ExathlonReader attribute) _mov_avg() (in module anomalearn.utils.moving_functions) _mov_std() (in module anomalearn.utils.moving_functions) _NABReader__check_parameters() (anomalearn.reader.time_series.NABReader.NABReader method) _NASAReader__check_parameters() (anomalearn.reader.time_series.NASAReader.NASAReader method) _objective_call() (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch method) (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch method) (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch method) (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch.HyperparameterSearch method) (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC method) (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch method) _pipeline_class (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest attribute) (anomalearn.algorithms.pipelines.AbstractPipelineBaseLayer.AbstractPipelineBaseLayer attribute) (anomalearn.algorithms.pipelines.AbstractPipelineSavableLayer.AbstractPipelineSavableLayer attribute) (anomalearn.algorithms.pipelines.IPipeline.IPipeline attribute) (anomalearn.algorithms.pipelines.IPipelineLayer.IPipelineLayer attribute) (anomalearn.algorithms.pipelines.Pipeline.Pipeline attribute) (anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference.BuilderErrorVectorsAbsDifference attribute) (anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference.BuilderErrorVectorsDifference attribute) (anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm.BuilderErrorVectorsNorm attribute) (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow attribute) (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian attribute) (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis attribute) (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal attribute) (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast attribute) (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct attribute) (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler attribute) (anomalearn.algorithms.transformers.StandardScaler.StandardScaler attribute) _points_seen (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast attribute), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct attribute), [1] _prefix (anomalearn.reader.time_series.YahooS5Reader.YahooS5Reader attribute) _readers (anomalearn.applications.ExperimentLoader.ExperimentLoader attribute), [1] _run_optimization() (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch method), [1] (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch method), [1] (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch method), [1] (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch.HyperparameterSearch method) (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC method) (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch method) _save_history() (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch method) (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch method) (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch method) (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch.HyperparameterSearch method) (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC method) (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch method) _score (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch.HyperparameterSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC attribute) (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch attribute) _search_history (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch.HyperparameterSearch attribute) (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC attribute) (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch attribute) _series (anomalearn.applications.ExperimentLoader.ExperimentLoader attribute), [1] _skopt_call() (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch method) (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch method) (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch method) (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC method) _skopt_objective() (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch method) (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch method) (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch method) (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC method) _sliding_window (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow attribute), [1] _SMDReader__check_parameters() (anomalearn.reader.time_series.SMDReader.SMDReader method) _splits (anomalearn.applications.ExperimentLoader.ExperimentLoader attribute), [1] _standard_scaler (anomalearn.algorithms.transformers.StandardScaler.StandardScaler attribute), [1] _test_gt (anomalearn.reader.time_series.SMDReader.SMDReader attribute) _test_set (anomalearn.reader.time_series.SMDReader.SMDReader attribute) _threshold (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal attribute) _train_set (anomalearn.reader.time_series.SMDReader.SMDReader attribute) _train_set_path (anomalearn.reader.time_series.GHLReader.GHLReader attribute) _transpose_numpy() (in module anomalearn.analysis.dataset_simplicity) _tried_configs (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch attribute) _true_negative_rate() (in module anomalearn.utils.metrics) _true_positive_rate() (in module anomalearn.utils.metrics) _TSBenchmarkReader__check_parameters() (anomalearn.reader.time_series.TSBenchmarkReader.TSBenchmarkReader method) _UCRReader__check_parameters() (anomalearn.reader.time_series.UCRReader.UCRReader method) _undisturbed_paths (anomalearn.reader.time_series.ExathlonReader.ExathlonReader attribute) _unmodified_dataset (anomalearn.reader.time_series.ODINTSReader.ODINTSReader attribute)

A

AbstractPipelineBaseLayer (class in anomalearn.algorithms.pipelines.AbstractPipelineBaseLayer), [1] AbstractPipelineSavableLayer (class in anomalearn.algorithms.pipelines.AbstractPipelineSavableLayer), [1] accepted_formats (anomalearn.reader.time_series.ExathlonReader.ExathlonReader attribute), [1] (anomalearn.reader.time_series.GHLReader.GHLReader attribute), [1] (anomalearn.reader.time_series.KitsuneReader.KitsuneReader attribute), [1] (anomalearn.reader.time_series.MGABReader.MGABReader attribute), [1] (anomalearn.reader.time_series.NABReader.NABReader attribute), [1] (anomalearn.reader.time_series.NASAReader.NASAReader attribute), [1] (anomalearn.reader.time_series.ODINTSReader.ODINTSReader attribute), [1] (anomalearn.reader.time_series.SMDReader.SMDReader attribute), [1] (anomalearn.reader.time_series.TSBenchmarkReader.TSBenchmarkReader attribute), [1] (anomalearn.reader.time_series.TSMultipleReader.TSMultipleReader attribute), [1] (anomalearn.reader.time_series.TSReader.TSReader attribute), [1] (anomalearn.reader.time_series.UCRReader.UCRReader attribute), [1] (anomalearn.reader.time_series.YahooS5Reader.YahooS5Reader attribute), [1] add_first_layer() (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] all_indices() (in module anomalearn.utils.lists), [1] allowed_interfaces() (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] analyse_constant_simplicity() (in module anomalearn.analysis.dataset_simplicity), [1] analyse_mixed_simplicity() (in module anomalearn.analysis.dataset_simplicity), [1] analyse_mov_avg_simplicity() (in module anomalearn.analysis.dataset_simplicity), [1] analyse_mov_std_simplicity() (in module anomalearn.analysis.dataset_simplicity), [1] analyse_stationarity() (in module anomalearn.analysis.stationarity), [1] anomalearn module, [1] anomalearn.abc module, [1] anomalearn.algorithms module, [1] anomalearn.algorithms.algo_functions module, [1] anomalearn.algorithms.BaseModel module, [1] anomalearn.algorithms.IBoundaryClassifier module, [1] anomalearn.algorithms.IClassifier module, [1] anomalearn.algorithms.ICluster module, [1] anomalearn.algorithms.ICopyable module, [1] anomalearn.algorithms.IMultipleParametric module, [1] anomalearn.algorithms.IParametric module, [1] anomalearn.algorithms.IPredictor module, [1] anomalearn.algorithms.IProbabilisticClassifier module, [1] anomalearn.algorithms.IRegressor module, [1] anomalearn.algorithms.ISavable module, [1] anomalearn.algorithms.IShapeChanger module, [1] anomalearn.algorithms.ITransformer module, [1] anomalearn.algorithms.models module, [1] anomalearn.algorithms.models.IAnomalyScorer module, [1] anomalearn.algorithms.models.machine_learning module, [1] anomalearn.algorithms.models.machine_learning.IsolationForest module, [1] anomalearn.algorithms.models.neural module, [1] anomalearn.algorithms.models.statistical module, [1] anomalearn.algorithms.pipelines module, [1] anomalearn.algorithms.pipelines.AbstractPipelineBaseLayer module, [1] anomalearn.algorithms.pipelines.AbstractPipelineSavableLayer module, [1] anomalearn.algorithms.pipelines.IPipeline module, [1] anomalearn.algorithms.pipelines.IPipelineLayer module, [1] anomalearn.algorithms.pipelines.Pipeline module, [1] anomalearn.algorithms.postprocessing module, [1] anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference module, [1] anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference module, [1] anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm module, [1] anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow module, [1] anomalearn.algorithms.postprocessing.ScorerGaussian module, [1] anomalearn.algorithms.postprocessing.ScorerMahalanobis module, [1] anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal module, [1] anomalearn.algorithms.preprocessing module, [1] anomalearn.algorithms.preprocessing.SlidingWindowForecast module, [1] anomalearn.algorithms.preprocessing.SlidingWindowReconstruct module, [1] anomalearn.algorithms.SavableModel module, [1] anomalearn.algorithms.transformers module, [1] anomalearn.algorithms.transformers.MinMaxScaler module, [1] anomalearn.algorithms.transformers.StandardScaler module, [1] anomalearn.algorithms.tuning module, [1] anomalearn.algorithms.tuning.hyperparameter module, [1] anomalearn.algorithms.tuning.hyperparameter.ForestSearch module, [1] anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch module, [1] anomalearn.algorithms.tuning.hyperparameter.GBRTSearch module, [1] anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch module, [1] anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearchResults module, [1] anomalearn.algorithms.tuning.hyperparameter.IHyperparameterSearch module, [1] anomalearn.algorithms.tuning.hyperparameter.IHyperparameterSearchResults module, [1] anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC module, [1]

anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch module, [1] anomalearn.algorithms.tuning.ICrossValidation module, [1] anomalearn.analysis module, [1] anomalearn.analysis.dataset_simplicity module, [1] anomalearn.analysis.decomposition module, [1] anomalearn.analysis.stationarity module, [1] anomalearn.applications module, [1] anomalearn.applications.ExperimentLoader module, [1] anomalearn.applications.IExperimentLoader module, [1] anomalearn.exceptions module, [1] anomalearn.exceptions.ClosedOpenRangeError module, [1] anomalearn.exceptions.ClosedRangeError module, [1] anomalearn.exceptions.InvalidInputShape module, [1] anomalearn.exceptions.NotTrainedError module, [1] anomalearn.exceptions.OpenClosedRangeError module, [1] anomalearn.exceptions.OpenRangeError module, [1] anomalearn.exceptions.RangeError module, [1] anomalearn.exceptions.SelectionError module, [1] anomalearn.input_validation module, [1] anomalearn.input_validation.array_checks module, [1] anomalearn.input_validation.attribute_checks module, [1] anomalearn.input_validation.colors module, [1] anomalearn.reader module, [1] anomalearn.reader.IDataMultipleReader module, [1] anomalearn.reader.IDataReader module, [1] anomalearn.reader.IDatasetReader module, [1] anomalearn.reader.time_series module, [1] anomalearn.reader.time_series.config module, [1] anomalearn.reader.time_series.ExathlonReader module, [1] anomalearn.reader.time_series.GHLReader module, [1] anomalearn.reader.time_series.KitsuneReader module, [1] anomalearn.reader.time_series.MGABReader module, [1] anomalearn.reader.time_series.NABReader module, [1] anomalearn.reader.time_series.NASAReader module, [1] anomalearn.reader.time_series.ODINTSReader module, [1] anomalearn.reader.time_series.SMDReader module, [1] anomalearn.reader.time_series.TSBenchmarkReader module, [1] anomalearn.reader.time_series.TSMultipleReader module, [1] anomalearn.reader.time_series.TSReader module, [1] anomalearn.reader.time_series.UCRReader module, [1] anomalearn.reader.time_series.YahooS5Reader module, [1] anomalearn.utils module, [1] anomalearn.utils.arrays module, [1] anomalearn.utils.estimation module, [1] anomalearn.utils.filesystem module, [1] anomalearn.utils.json module, [1] anomalearn.utils.lists module, [1] anomalearn.utils.metrics module, [1] anomalearn.utils.moving_functions module, [1] anomalearn.utils.numpy module, [1] anomalearn.utils.scikit module, [1] anomalearn.visualizer module, [1] anomalearn.visualizer.bar_plots module, [1] anomalearn.visualizer.box_plots module, [1] anomalearn.visualizer.line_plots module, [1] anomalearn.visualizer.pie_plots module, [1] anomalearn.visualizer.scatter_plots module, [1] anomalearn.visualizer.time_series module, [1] anomalearn.visualizer.time_series.correlation module, [1] anomalearn.visualizer.time_series.decomposition module, [1] anomaly_score() (anomalearn.algorithms.models.IAnomalyScorer.IAnomalyScorer method), [1] (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1] anomaly_type_col (anomalearn.reader.time_series.ODINTSReader.ODINTSReader attribute), [1] append_layer() (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] are_list_attr_equal() (in module anomalearn.utils.scikit), [1] are_normal_attr_equal() (in module anomalearn.utils.scikit), [1] are_numpy_attr_equal() (in module anomalearn.utils.scikit), [1] are_random_state_attr_equal() (in module anomalearn.utils.scikit), [1] are_random_state_equal() (in module anomalearn.utils.numpy), [1] are_tree_attr_equal() (in module anomalearn.utils.scikit), [1]

B

bar_class_distribution() (in module anomalearn.visualizer.bar_plots), [1] bar_plot() (in module anomalearn.visualizer.bar_plots), [1] base_estimator (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest property), [1] BaseModel (class in anomalearn.algorithms.BaseModel), [1] binary_confusion_matrix() (in module anomalearn.utils.metrics), [1]

bootstrap (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest property), [1] box_plot() (in module anomalearn.visualizer.box_plots), [1] BuilderErrorVectorsAbsDifference (class in anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference), [1] BuilderErrorVectorsDifference (class in anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference), [1] BuilderErrorVectorsNorm (class in anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm), [1] BuilderVectorsSlidingWindow (class in anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow), [1]

C

check_argument_types() (in module anomalearn.input_validation.attribute_checks), [1] check_array_1d() (in module anomalearn.input_validation.array_checks), [1] check_array_general() (in module anomalearn.input_validation.array_checks), [1] check_attributes_exist() (in module anomalearn.input_validation.attribute_checks), [1] check_not_default_attributes() (in module anomalearn.input_validation.attribute_checks), [1] check_x_y_smaller_1d() (in module anomalearn.input_validation.array_checks), [1] classify() (anomalearn.algorithms.IBoundaryClassifier.IBoundaryClassifier method), [1] (anomalearn.algorithms.IClassifier.IClassifier method), [1] (anomalearn.algorithms.IProbabilisticClassifier.IProbabilisticClassifier method), [1] (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1] clip (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler property), [1] ClosedOpenRangeError (class in anomalearn.exceptions.ClosedOpenRangeError), [1] ClosedRangeError (class in anomalearn.exceptions.ClosedRangeError), [1] cluster() (anomalearn.algorithms.ICluster.ICluster method), [1] concat_list_array() (in module anomalearn.utils.lists), [1] confidence_line_plot() (in module anomalearn.visualizer.line_plots), [1] contamination (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest property), [1] copy() (anomalearn.algorithms.ICopyable.ICopyable method), [1] (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineBaseLayer.AbstractPipelineBaseLayer method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineSavableLayer.AbstractPipelineSavableLayer method), [1] (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.IPipelineLayer.IPipelineLayer method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference.BuilderErrorVectorsAbsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference.BuilderErrorVectorsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm.BuilderErrorVectorsNorm method), [1] (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method), [1]

copy_attribute (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler property), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler property), [1] count() (anomalearn.applications.ExperimentLoader.ExperimentLoader method), [1] (anomalearn.applications.IExperimentLoader.IExperimentLoader method), [1] cov (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian property), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis property), [1]

D

decision_function() (anomalearn.algorithms.IBoundaryClassifier.IBoundaryClassifier method), [1] (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1]

decompose_time_series() (in module anomalearn.analysis.decomposition), [1]

E

EqualityABC (class in anomalearn.abc), [1] estimate_mean_covariance() (in module anomalearn.utils.estimation), [1] estimators (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest property), [1] estimators_features (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest property), [1]

estimators_samples (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest property), [1] ExathlonReader (class in anomalearn.reader.time_series.ExathlonReader), [1] expected_shape (anomalearn.exceptions.InvalidInputShape.InvalidInputShape attribute), [1] ExperimentLoader (class in anomalearn.applications.ExperimentLoader), [1]

F

feature_range (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler property), [1] find_or_create_dir() (in module anomalearn.utils.filesystem), [1] fit() (anomalearn.algorithms.IMultipleParametric.IMultipleParametric method), [1] (anomalearn.algorithms.IParametric.IParametric method), [1] (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1] (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method), [1]

fit_multiple() (anomalearn.algorithms.IMultipleParametric.IMultipleParametric method), [1] ForestSearch (class in anomalearn.algorithms.tuning.hyperparameter.ForestSearch), [1] FullyRepresentableABC (class in anomalearn.abc), [1]

G

GaussianProcessesSearch (class in anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch), [1] GBRTSearch (class in anomalearn.algorithms.tuning.hyperparameter.GBRTSearch), [1] get_all_dataframes() (anomalearn.reader.IDataMultipleReader.IDataMultipleReader method), [1] (anomalearn.reader.time_series.TSMultipleReader.TSMultipleReader method), [1] get_best_config() (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearchResults.HyperparameterSearchResults method), [1] (anomalearn.algorithms.tuning.hyperparameter.IHyperparameterSearchResults.IHyperparameterSearchResults method), [1] get_best_score() (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearchResults.HyperparameterSearchResults method), [1] (anomalearn.algorithms.tuning.hyperparameter.IHyperparameterSearchResults.IHyperparameterSearchResults method), [1] get_complete_dataframe() (anomalearn.reader.time_series.ODINTSReader.ODINTSReader method), [1] get_dataframe() (anomalearn.reader.IDataReader.IDataReader method), [1] (anomalearn.reader.IDatasetReader.IDatasetReader method), [1] (anomalearn.reader.time_series.ExathlonReader.ExathlonReader method), [1], [2], [3] (anomalearn.reader.time_series.GHLReader.GHLReader method), [1], [2], [3] (anomalearn.reader.time_series.KitsuneReader.KitsuneReader method), [1], [2], [3] (anomalearn.reader.time_series.MGABReader.MGABReader method), [1], [2], [3] (anomalearn.reader.time_series.NABReader.NABReader method), [1], [2], [3] (anomalearn.reader.time_series.NASAReader.NASAReader method), [1], [2], [3] (anomalearn.reader.time_series.ODINTSReader.ODINTSReader method), [1], [2], [3] (anomalearn.reader.time_series.SMDReader.SMDReader method), [1], [2], [3] (anomalearn.reader.time_series.TSBenchmarkReader.TSBenchmarkReader method), [1], [2], [3] (anomalearn.reader.time_series.TSMultipleReader.TSMultipleReader method), [1], [2], [3] (anomalearn.reader.time_series.TSReader.TSReader method), [1] (anomalearn.reader.time_series.UCRReader.UCRReader method), [1], [2], [3] (anomalearn.reader.time_series.YahooS5Reader.YahooS5Reader method), [1], [2], [3] get_history() (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearchResults.HyperparameterSearchResults method), [1] (anomalearn.algorithms.tuning.hyperparameter.IHyperparameterSearchResults.IHyperparameterSearchResults method), [1] get_hyperparameters() (anomalearn.algorithms.BaseModel.BaseModel method), [1] (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineBaseLayer.AbstractPipelineBaseLayer method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineSavableLayer.AbstractPipelineSavableLayer method), [1] (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference.BuilderErrorVectorsAbsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference.BuilderErrorVectorsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm.BuilderErrorVectorsNorm method), [1] (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct method), [1] (anomalearn.algorithms.SavableModel.SavableModel method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method), [1] get_input_shape() (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineBaseLayer.AbstractPipelineBaseLayer method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineSavableLayer.AbstractPipelineSavableLayer method), [1] (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.IPipelineLayer.IPipelineLayer method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference.BuilderErrorVectorsAbsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference.BuilderErrorVectorsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm.BuilderErrorVectorsNorm method), [1] (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method), [1] get_ith_dataframe() (anomalearn.reader.IDataMultipleReader.IDataMultipleReader method), [1] (anomalearn.reader.time_series.TSMultipleReader.TSMultipleReader method), [1] get_n_splits() (anomalearn.algorithms.tuning.ICrossValidation.ICrossValidation method), [1] get_num_iterations() (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearchResults.HyperparameterSearchResults method), [1] (anomalearn.algorithms.tuning.hyperparameter.IHyperparameterSearchResults.IHyperparameterSearchResults method), [1]

get_output_shape() (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineBaseLayer.AbstractPipelineBaseLayer method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineSavableLayer.AbstractPipelineSavableLayer method), [1] (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.IPipelineLayer.IPipelineLayer method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference.BuilderErrorVectorsAbsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference.BuilderErrorVectorsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm.BuilderErrorVectorsNorm method), [1] (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method), [1] get_params() (anomalearn.algorithms.BaseModel.BaseModel method), [1] (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineBaseLayer.AbstractPipelineBaseLayer method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineSavableLayer.AbstractPipelineSavableLayer method), [1] (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference.BuilderErrorVectorsAbsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference.BuilderErrorVectorsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm.BuilderErrorVectorsNorm method), [1] (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct method), [1] (anomalearn.algorithms.SavableModel.SavableModel method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method), [1] get_pipeline_class() (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineBaseLayer.AbstractPipelineBaseLayer method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineSavableLayer.AbstractPipelineSavableLayer method), [1] (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.IPipelineLayer.IPipelineLayer method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference.BuilderErrorVectorsAbsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference.BuilderErrorVectorsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm.BuilderErrorVectorsNorm method), [1] (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method), [1] get_results() (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch method), [1], [2], [3] (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch method), [1], [2], [3] (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch method), [1], [2], [3] (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch.HyperparameterSearch method), [1] (anomalearn.algorithms.tuning.hyperparameter.IHyperparameterSearch.IHyperparameterSearch method), [1] (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC method), [1], [2], [3] (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch method), [1], [2], [3] get_rows_without_nan() (in module anomalearn.utils.arrays), [1] get_series() (anomalearn.applications.ExperimentLoader.ExperimentLoader method), [1] (anomalearn.applications.IExperimentLoader.IExperimentLoader method), [1] get_series_to_use() (anomalearn.applications.ExperimentLoader.ExperimentLoader method), [1] (anomalearn.applications.IExperimentLoader.IExperimentLoader method), [1] get_train_test_split() (anomalearn.applications.ExperimentLoader.ExperimentLoader method), [1] (anomalearn.applications.IExperimentLoader.IExperimentLoader method), [1] GHLReader (class in anomalearn.reader.time_series.GHLReader), [1]

H

HyperparameterSearch (class in anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch), [1]

HyperparameterSearchResults (class in anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearchResults), [1]

I

IAnomalyScorer (class in anomalearn.algorithms.models.IAnomalyScorer), [1] IBoundaryClassifier (class in anomalearn.algorithms.IBoundaryClassifier), [1] IClassifier (class in anomalearn.algorithms.IClassifier), [1] ICluster (class in anomalearn.algorithms.ICluster), [1] ICopyable (class in anomalearn.algorithms.ICopyable), [1] ICrossValidation (class in anomalearn.algorithms.tuning.ICrossValidation), [1] IDataMultipleReader (class in anomalearn.reader.IDataMultipleReader), [1] IDataReader (class in anomalearn.reader.IDataReader), [1] IDatasetReader (class in anomalearn.reader.IDatasetReader), [1] identical() (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] IExperimentLoader (class in anomalearn.applications.IExperimentLoader), [1] IHyperparameterSearch (class in anomalearn.algorithms.tuning.hyperparameter.IHyperparameterSearch), [1] IHyperparameterSearchResults (class in anomalearn.algorithms.tuning.hyperparameter.IHyperparameterSearchResults), [1] IMultipleParametric (class in anomalearn.algorithms.IMultipleParametric), [1] index() (anomalearn.applications.ExperimentLoader.ExperimentLoader method), [1] (anomalearn.applications.IExperimentLoader.IExperimentLoader method), [1] insert() (anomalearn.applications.ExperimentLoader.ExperimentLoader method), [1] (anomalearn.applications.IExperimentLoader.IExperimentLoader method), [1]

insert_layer() (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] instantiate_estimator() (in module anomalearn.algorithms.algo_functions), [1] inv_cov (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis property), [1] InvalidInputShape (class in anomalearn.exceptions.InvalidInputShape), [1] IParametric (class in anomalearn.algorithms.IParametric), [1] IPipeline (class in anomalearn.algorithms.pipelines.IPipeline), [1] IPipelineLayer (class in anomalearn.algorithms.pipelines.IPipelineLayer), [1] IPredictor (class in anomalearn.algorithms.IPredictor), [1] IProbabilisticClassifier (class in anomalearn.algorithms.IProbabilisticClassifier), [1] IRegressor (class in anomalearn.algorithms.IRegressor), [1] is_matplotlib_color() (in module anomalearn.input_validation.colors), [1] is_var_of_type() (in module anomalearn.input_validation.attribute_checks), [1] ISavable (class in anomalearn.algorithms.ISavable), [1] IShapeChanger (class in anomalearn.algorithms.IShapeChanger), [1] IsolationForest (class in anomalearn.algorithms.models.machine_learning.IsolationForest), [1] ITransformer (class in anomalearn.algorithms.ITransformer), [1]

K

KitsuneReader (class in anomalearn.reader.time_series.KitsuneReader), [1]

L

left (anomalearn.exceptions.ClosedOpenRangeError.ClosedOpenRangeError attribute), [1] (anomalearn.exceptions.ClosedRangeError.ClosedRangeError attribute), [1] (anomalearn.exceptions.OpenClosedRangeError.OpenClosedRangeError attribute), [1] (anomalearn.exceptions.OpenRangeError.OpenRangeError attribute), [1] (anomalearn.exceptions.RangeError.RangeError attribute), [1] line_plot() (in module anomalearn.visualizer.line_plots), [1] load() (anomalearn.algorithms.ISavable.ISavable method), [1] (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineSavableLayer.AbstractPipelineSavableLayer method), [1], [2], [3] (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1], [2], [3] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct method), [1] (anomalearn.algorithms.SavableModel.SavableModel method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method), [1]

load_estimator() (in module anomalearn.algorithms.algo_functions), [1] load_model() (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest class method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline class method), [1] (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow class method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian class method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis class method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal class method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast class method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct class method), [1] (anomalearn.algorithms.SavableModel.SavableModel class method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler class method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler class method), [1] load_py_json() (in module anomalearn.utils.json), [1]

M

max (anomalearn.exceptions.ClosedOpenRangeError.ClosedOpenRangeError attribute), [1] (anomalearn.exceptions.ClosedRangeError.ClosedRangeError attribute), [1] (anomalearn.exceptions.OpenClosedRangeError.OpenClosedRangeError attribute), [1] (anomalearn.exceptions.OpenRangeError.OpenRangeError attribute), [1] (anomalearn.exceptions.RangeError.RangeError attribute), [1] max_features (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest property), [1] max_samples (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest property), [1] mean (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian property), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis property), [1] message (anomalearn.exceptions.ClosedOpenRangeError.ClosedOpenRangeError attribute), [1] (anomalearn.exceptions.ClosedRangeError.ClosedRangeError attribute), [1] (anomalearn.exceptions.InvalidInputShape.InvalidInputShape attribute), [1] (anomalearn.exceptions.NotTrainedError.NotTrainedError attribute), [1] (anomalearn.exceptions.OpenClosedRangeError.OpenClosedRangeError attribute), [1] (anomalearn.exceptions.OpenRangeError.OpenRangeError attribute), [1] (anomalearn.exceptions.RangeError.RangeError attribute), [1] (anomalearn.exceptions.SelectionError.SelectionError attribute), [1] MGABReader (class in anomalearn.reader.time_series.MGABReader), [1] min (anomalearn.exceptions.ClosedOpenRangeError.ClosedOpenRangeError attribute), [1] (anomalearn.exceptions.ClosedRangeError.ClosedRangeError attribute), [1] (anomalearn.exceptions.OpenClosedRangeError.OpenClosedRangeError attribute), [1] (anomalearn.exceptions.OpenRangeError.OpenRangeError attribute), [1] (anomalearn.exceptions.RangeError.RangeError attribute), [1] min_adjustment (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler property), [1] MinMaxScaler (class in anomalearn.algorithms.transformers.MinMaxScaler), [1] module anomalearn, [1] anomalearn.abc, [1] anomalearn.algorithms, [1] anomalearn.algorithms.algo_functions, [1] anomalearn.algorithms.BaseModel, [1] anomalearn.algorithms.IBoundaryClassifier, [1] anomalearn.algorithms.IClassifier, [1] anomalearn.algorithms.ICluster, [1] anomalearn.algorithms.ICopyable, [1] anomalearn.algorithms.IMultipleParametric, [1] anomalearn.algorithms.IParametric, [1] anomalearn.algorithms.IPredictor, [1] anomalearn.algorithms.IProbabilisticClassifier, [1] anomalearn.algorithms.IRegressor, [1] anomalearn.algorithms.ISavable, [1] anomalearn.algorithms.IShapeChanger, [1] anomalearn.algorithms.ITransformer, [1] anomalearn.algorithms.models, [1] anomalearn.algorithms.models.IAnomalyScorer, [1] anomalearn.algorithms.models.machine_learning, [1] anomalearn.algorithms.models.machine_learning.IsolationForest, [1] anomalearn.algorithms.models.neural, [1] anomalearn.algorithms.models.statistical, [1] anomalearn.algorithms.pipelines, [1] anomalearn.algorithms.pipelines.AbstractPipelineBaseLayer, [1] anomalearn.algorithms.pipelines.AbstractPipelineSavableLayer, [1] anomalearn.algorithms.pipelines.IPipeline, [1] anomalearn.algorithms.pipelines.IPipelineLayer, [1] anomalearn.algorithms.pipelines.Pipeline, [1] anomalearn.algorithms.postprocessing, [1] anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference, [1] anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference, [1] anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm, [1] anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow, [1] anomalearn.algorithms.postprocessing.ScorerGaussian, [1] anomalearn.algorithms.postprocessing.ScorerMahalanobis, [1] anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal, [1] anomalearn.algorithms.preprocessing, [1] anomalearn.algorithms.preprocessing.SlidingWindowForecast, [1] anomalearn.algorithms.preprocessing.SlidingWindowReconstruct, [1] anomalearn.algorithms.SavableModel, [1] anomalearn.algorithms.transformers, [1] anomalearn.algorithms.transformers.MinMaxScaler, [1] anomalearn.algorithms.transformers.StandardScaler, [1] anomalearn.algorithms.tuning, [1] anomalearn.algorithms.tuning.hyperparameter, [1] anomalearn.algorithms.tuning.hyperparameter.ForestSearch, [1] anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch, [1] anomalearn.algorithms.tuning.hyperparameter.GBRTSearch, [1] anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch, [1] anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearchResults, [1] anomalearn.algorithms.tuning.hyperparameter.IHyperparameterSearch, [1] anomalearn.algorithms.tuning.hyperparameter.IHyperparameterSearchResults, [1] anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC, [1] anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch, [1] anomalearn.algorithms.tuning.ICrossValidation, [1] anomalearn.analysis, [1] anomalearn.analysis.dataset_simplicity, [1] anomalearn.analysis.decomposition, [1] anomalearn.analysis.stationarity, [1] anomalearn.applications, [1] anomalearn.applications.ExperimentLoader, [1] anomalearn.applications.IExperimentLoader, [1] anomalearn.exceptions, [1] anomalearn.exceptions.ClosedOpenRangeError, [1] anomalearn.exceptions.ClosedRangeError, [1] anomalearn.exceptions.InvalidInputShape, [1] anomalearn.exceptions.NotTrainedError, [1] anomalearn.exceptions.OpenClosedRangeError, [1] anomalearn.exceptions.OpenRangeError, [1] anomalearn.exceptions.RangeError, [1] anomalearn.exceptions.SelectionError, [1] anomalearn.input_validation, [1] anomalearn.input_validation.array_checks, [1] anomalearn.input_validation.attribute_checks, [1] anomalearn.input_validation.colors, [1] anomalearn.reader, [1] anomalearn.reader.IDataMultipleReader, [1] anomalearn.reader.IDataReader, [1] anomalearn.reader.IDatasetReader, [1] anomalearn.reader.time_series, [1] anomalearn.reader.time_series.config, [1] anomalearn.reader.time_series.ExathlonReader, [1] anomalearn.reader.time_series.GHLReader, [1] anomalearn.reader.time_series.KitsuneReader, [1] anomalearn.reader.time_series.MGABReader, [1] anomalearn.reader.time_series.NABReader, [1] anomalearn.reader.time_series.NASAReader, [1] anomalearn.reader.time_series.ODINTSReader, [1] anomalearn.reader.time_series.SMDReader, [1] anomalearn.reader.time_series.TSBenchmarkReader, [1] anomalearn.reader.time_series.TSMultipleReader, [1] anomalearn.reader.time_series.TSReader, [1] anomalearn.reader.time_series.UCRReader, [1] anomalearn.reader.time_series.YahooS5Reader, [1] anomalearn.utils, [1] anomalearn.utils.arrays, [1] anomalearn.utils.estimation, [1] anomalearn.utils.filesystem, [1] anomalearn.utils.json, [1] anomalearn.utils.lists, [1] anomalearn.utils.metrics, [1] anomalearn.utils.moving_functions, [1] anomalearn.utils.numpy, [1] anomalearn.utils.scikit, [1] anomalearn.visualizer, [1] anomalearn.visualizer.bar_plots, [1] anomalearn.visualizer.box_plots, [1] anomalearn.visualizer.line_plots, [1] anomalearn.visualizer.pie_plots, [1] anomalearn.visualizer.scatter_plots, [1] anomalearn.visualizer.time_series, [1] anomalearn.visualizer.time_series.correlation, [1] anomalearn.visualizer.time_series.decomposition, [1]

mov_avg() (in module anomalearn.utils.moving_functions), [1] mov_std() (in module anomalearn.utils.moving_functions), [1]

N

n_estimators (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest property), [1] n_jobs (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest property), [1] NABReader (class in anomalearn.reader.time_series.NABReader), [1]

NASAReader (class in anomalearn.reader.time_series.NASAReader), [1] NotTrainedError (class in anomalearn.exceptions.NotTrainedError), [1] num_series (anomalearn.applications.ExperimentLoader.ExperimentLoader property), [1] (anomalearn.applications.IExperimentLoader.IExperimentLoader property), [1]

O

ObtainableABC (class in anomalearn.abc), [1] ODINTSReader (class in anomalearn.reader.time_series.ODINTSReader), [1]

offset (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest property), [1] OpenClosedRangeError (class in anomalearn.exceptions.OpenClosedRangeError), [1] OpenRangeError (class in anomalearn.exceptions.OpenRangeError), [1]

P

parameter_space (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch attribute), [1] (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch attribute), [1] (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch attribute), [1] (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC attribute), [1] (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch attribute), [1] pie_class_distribution() (in module anomalearn.visualizer.pie_plots), [1] pie_plot() (in module anomalearn.visualizer.pie_plots), [1] Pipeline (class in anomalearn.algorithms.pipelines.Pipeline), [1] pipeline_layers (anomalearn.algorithms.pipelines.Pipeline.Pipeline property), [1] pipeline_names (anomalearn.algorithms.pipelines.Pipeline.Pipeline property), [1] pipeline_spec (anomalearn.algorithms.pipelines.Pipeline.Pipeline property), [1]

pipeline_train (anomalearn.algorithms.pipelines.Pipeline.Pipeline property), [1] plot_correlation_functions() (in module anomalearn.visualizer.time_series.correlation), [1] plot_time_series_decomposition() (in module anomalearn.visualizer.time_series.decomposition), [1] points_seen (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast property), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct property), [1] predict() (anomalearn.algorithms.IPredictor.IPredictor method), [1] predict_proba() (anomalearn.algorithms.IProbabilisticClassifier.IProbabilisticClassifier method), [1] print_search() (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearchResults.HyperparameterSearchResults method), [1] (anomalearn.algorithms.tuning.hyperparameter.IHyperparameterSearchResults.IHyperparameterSearchResults method), [1] process() (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1]

R

random_state (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest property), [1] RangeError (class in anomalearn.exceptions.RangeError), [1] read() (anomalearn.reader.IDataReader.IDataReader method), [1] (anomalearn.reader.IDatasetReader.IDatasetReader method), [1] (anomalearn.reader.time_series.ExathlonReader.ExathlonReader method), [1] (anomalearn.reader.time_series.GHLReader.GHLReader method), [1] (anomalearn.reader.time_series.KitsuneReader.KitsuneReader method), [1] (anomalearn.reader.time_series.MGABReader.MGABReader method), [1] (anomalearn.reader.time_series.NABReader.NABReader method), [1] (anomalearn.reader.time_series.NASAReader.NASAReader method), [1] (anomalearn.reader.time_series.ODINTSReader.ODINTSReader method), [1] (anomalearn.reader.time_series.SMDReader.SMDReader method), [1] (anomalearn.reader.time_series.TSBenchmarkReader.TSBenchmarkReader method), [1], [2], [3] (anomalearn.reader.time_series.TSMultipleReader.TSMultipleReader method), [1], [2], [3] (anomalearn.reader.time_series.TSReader.TSReader method), [1] (anomalearn.reader.time_series.UCRReader.UCRReader method), [1] (anomalearn.reader.time_series.YahooS5Reader.YahooS5Reader method), [1]

read_multiple() (anomalearn.reader.IDataMultipleReader.IDataMultipleReader method), [1] (anomalearn.reader.time_series.TSMultipleReader.TSMultipleReader method), [1] regress() (anomalearn.algorithms.IRegressor.IRegressor method), [1] remove_layer() (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] RepresentableABC (class in anomalearn.abc), [1] right (anomalearn.exceptions.ClosedOpenRangeError.ClosedOpenRangeError attribute), [1] (anomalearn.exceptions.ClosedRangeError.ClosedRangeError attribute), [1] (anomalearn.exceptions.OpenClosedRangeError.OpenClosedRangeError attribute), [1] (anomalearn.exceptions.OpenRangeError.OpenRangeError attribute), [1] (anomalearn.exceptions.RangeError.RangeError attribute), [1] rts_config (anomalearn.reader.time_series.config attribute), [1]

S

SavableModel (class in anomalearn.algorithms.SavableModel), [1] save() (anomalearn.algorithms.ISavable.ISavable method), [1] (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineSavableLayer.AbstractPipelineSavableLayer method), [1], [2], [3] (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1], [2], [3] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct method), [1] (anomalearn.algorithms.SavableModel.SavableModel method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method), [1] save_filename (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch attribute), [1] (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch attribute), [1] (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch attribute), [1] (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch.HyperparameterSearch attribute), [1] (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC attribute), [1] (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch attribute), [1] save_folder (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch attribute), [1] (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch attribute), [1] (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch attribute), [1] (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch.HyperparameterSearch attribute), [1] (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC attribute), [1] (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch attribute), [1] save_py_json() (in module anomalearn.utils.json), [1] scale_adjustment (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler property), [1] scatter_plot() (in module anomalearn.visualizer.scatter_plots), [1] ScorerGaussian (class in anomalearn.algorithms.postprocessing.ScorerGaussian), [1] ScorerMahalanobis (class in anomalearn.algorithms.postprocessing.ScorerMahalanobis), [1] search() (anomalearn.algorithms.tuning.hyperparameter.ForestSearch.ForestSearch method), [1], [2], [3] (anomalearn.algorithms.tuning.hyperparameter.GaussianProcessesSearch.GaussianProcessesSearch method), [1], [2], [3] (anomalearn.algorithms.tuning.hyperparameter.GBRTSearch.GBRTSearch method), [1], [2], [3] (anomalearn.algorithms.tuning.hyperparameter.HyperparameterSearch.HyperparameterSearch method), [1] (anomalearn.algorithms.tuning.hyperparameter.IHyperparameterSearch.IHyperparameterSearch method), [1] (anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC.SkoptSearchABC method), [1] (anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch.TimeSeriesGridSearch method), [1], [2], [3] seen_data_max (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler property), [1] seen_data_min (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler property), [1] seen_data_range (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler property), [1] seen_feature_names_in (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest property), [1] seen_features_in (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest property), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler property), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler property), [1] seen_features_names_in (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler property), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler property), [1] seen_max_samples (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest property), [1] seen_mean (anomalearn.algorithms.transformers.StandardScaler.StandardScaler property), [1] seen_samples_in (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler property), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler property), [1] seen_scale (anomalearn.algorithms.transformers.StandardScaler.StandardScaler property), [1] seen_var (anomalearn.algorithms.transformers.StandardScaler.StandardScaler property), [1] select_dataframe() (anomalearn.reader.time_series.TSMultipleReader.TSMultipleReader method), [1] SelectionError (class in anomalearn.exceptions.SelectionError), [1] series_iterator() (anomalearn.applications.ExperimentLoader.ExperimentLoader method), [1] (anomalearn.applications.IExperimentLoader.IExperimentLoader method), [1] set_hyperparameters() (anomalearn.algorithms.BaseModel.BaseModel method), [1] (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineBaseLayer.AbstractPipelineBaseLayer method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineSavableLayer.AbstractPipelineSavableLayer method), [1] (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference.BuilderErrorVectorsAbsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference.BuilderErrorVectorsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm.BuilderErrorVectorsNorm method), [1] (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct method), [1] (anomalearn.algorithms.SavableModel.SavableModel method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method), [1]

set_mode() (anomalearn.reader.time_series.ExathlonReader.ExathlonReader method), [1] set_name() (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] set_params() (anomalearn.algorithms.BaseModel.BaseModel method), [1] (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineBaseLayer.AbstractPipelineBaseLayer method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineSavableLayer.AbstractPipelineSavableLayer method), [1] (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference.BuilderErrorVectorsAbsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference.BuilderErrorVectorsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm.BuilderErrorVectorsNorm method), [1] (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct method), [1] (anomalearn.algorithms.SavableModel.SavableModel method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method), [1] set_pipeline_class() (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineBaseLayer.AbstractPipelineBaseLayer method), [1] (anomalearn.algorithms.pipelines.AbstractPipelineSavableLayer.AbstractPipelineSavableLayer method), [1] (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.IPipelineLayer.IPipelineLayer method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference.BuilderErrorVectorsAbsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference.BuilderErrorVectorsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm.BuilderErrorVectorsNorm method), [1] (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method), [1] set_series_to_use() (anomalearn.applications.ExperimentLoader.ExperimentLoader method), [1] (anomalearn.applications.IExperimentLoader.IExperimentLoader method), [1] set_train_test_split() (anomalearn.applications.ExperimentLoader.ExperimentLoader method), [1] (anomalearn.applications.IExperimentLoader.IExperimentLoader method), [1] set_trainable() (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1] shape_change() (anomalearn.algorithms.IShapeChanger.IShapeChanger method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsAbsDifference.BuilderErrorVectorsAbsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsDifference.BuilderErrorVectorsDifference method), [1] (anomalearn.algorithms.postprocessing.BuilderErrorVectorsNorm.BuilderErrorVectorsNorm method), [1] (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow method), [1] (anomalearn.algorithms.postprocessing.ScorerGaussian.ScorerGaussian method), [1] (anomalearn.algorithms.postprocessing.ScorerMahalanobis.ScorerMahalanobis method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowForecast.SlidingWindowForecast method), [1] (anomalearn.algorithms.preprocessing.SlidingWindowReconstruct.SlidingWindowReconstruct method), [1] SkoptSearchABC (class in anomalearn.algorithms.tuning.hyperparameter.SkoptSearchABC), [1] sliding_window (anomalearn.algorithms.postprocessing.BuilderVectorsSlidingWindow.BuilderVectorsSlidingWindow property), [1] SlidingWindowForecast (class in anomalearn.algorithms.preprocessing.SlidingWindowForecast), [1] SlidingWindowReconstruct (class in anomalearn.algorithms.preprocessing.SlidingWindowReconstruct), [1] SMDReader (class in anomalearn.reader.time_series.SMDReader), [1] split() (anomalearn.algorithms.tuning.ICrossValidation.ICrossValidation method), [1] StandardScaler (class in anomalearn.algorithms.transformers.StandardScaler), [1] StringableABC (class in anomalearn.abc), [1] summary() (anomalearn.algorithms.pipelines.IPipeline.IPipeline method), [1] (anomalearn.algorithms.pipelines.Pipeline.Pipeline method), [1]

T

threshold (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal property), [1] ThresholdMaxOnNormal (class in anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal), [1] TimeSeriesGridSearch (class in anomalearn.algorithms.tuning.hyperparameter.TimeSeriesGridSearch), [1] transform() (anomalearn.algorithms.ITransformer.ITransformer method), [1] (anomalearn.algorithms.postprocessing.ThresholdMaxOnNormal.ThresholdMaxOnNormal method), [1] (anomalearn.algorithms.transformers.MinMaxScaler.MinMaxScaler method), [1] (anomalearn.algorithms.transformers.StandardScaler.StandardScaler method), [1]

true_negative_rate() (in module anomalearn.utils.metrics), [1] true_positive_rate() (in module anomalearn.utils.metrics), [1] TSBenchmarkReader (class in anomalearn.reader.time_series.TSBenchmarkReader), [1] TSMultipleReader (class in anomalearn.reader.time_series.TSMultipleReader), [1] TSReader (class in anomalearn.reader.time_series.TSReader), [1]

U

UCRReader (class in anomalearn.reader.time_series.UCRReader), [1]

V

val (anomalearn.exceptions.ClosedOpenRangeError.ClosedOpenRangeError attribute), [1] (anomalearn.exceptions.ClosedRangeError.ClosedRangeError attribute), [1] (anomalearn.exceptions.OpenClosedRangeError.OpenClosedRangeError attribute), [1] (anomalearn.exceptions.OpenRangeError.OpenRangeError attribute), [1]

values (anomalearn.exceptions.SelectionError.SelectionError attribute), [1] verbose (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest property), [1]

W

warm_start (anomalearn.algorithms.models.machine_learning.IsolationForest.IsolationForest property), [1]

with_mean (anomalearn.algorithms.transformers.StandardScaler.StandardScaler property), [1] with_std (anomalearn.algorithms.transformers.StandardScaler.StandardScaler property), [1]

Y

YahooS5Reader (class in anomalearn.reader.time_series.YahooS5Reader), [1]