Index

A

absoluteResidual() (in module tsad.utils.ResidualAnomalyDetectionUtils.generateResidual) amount_unique_diff (tsad.tasks.eda.TimeDiscretizationResult attribute)

amount_unique_diff_percent (tsad.tasks.eda.TimeDiscretizationResult attribute) ArgumentNotFoundException

C

check_errors() (in module tsad.utils.evaluating.src)

columns (tsad.tasks.eda.HighLevelDatasetAnalysisResult attribute) confusion_matrix() (in module tsad.utils.evaluating.univariate_funcs)

D

Dataset (class in tsad.base.datasets) dataset_analysis_result (tsad.tasks.eda.FindNaNResult attribute) (tsad.tasks.eda.TimeDiscretizationResult attribute)

description (tsad.base.datasets.Dataset attribute) df2dfs() (in module tsad.utils.preproc) duration (tsad.tasks.eda.HighLevelDatasetAnalysisResult attribute)

E

end_time (tsad.tasks.eda.HighLevelDatasetAnalysisResult attribute) equipment_downtimes (tsad.tasks.eda.EquipmentDowntimeResult attribute) EquipmentDowntimeResult (class in tsad.tasks.eda)

EquipmentDowntimeTask (class in tsad.tasks.eda) evaluating() (in module tsad.utils.evaluating.evaluating) extract_cp_confusion_matrix() (in module tsad.utils.evaluating.src)

F

FAILED (tsad.base.task.TaskStatus attribute) feature_importance() (in module tsad.utils.ResidualAnomalyDetectionUtils.feature_importance) feature_importances() (tsad.utils.ResidualAnomalyDetectionUtils.stastics.Hotelling method) feature_names (tsad.base.datasets.Dataset attribute) filter_detecting_boundaries() (in module tsad.utils.evaluating.src) FindNaNResult (class in tsad.tasks.eda) FindNaNTask (class in tsad.tasks.eda) fit() (tsad.utils.featproc.toSpike.R_to_I method) (tsad.utils.ResidualAnomalyDetectionUtils.stastics.Hotelling method) FIT_PREDICT (tsad.base.pipeline.PipelineMode attribute) fit_predict() (tsad.base.pipeline.Pipeline method) (tsad.base.task.Task method) (tsad.tasks.eda.EquipmentDowntimeTask method) (tsad.tasks.eda.FindNaNTask method) (tsad.tasks.eda.HighLevelDatasetAnalysisTask method) (tsad.tasks.eda.TimeDiscretizationTask method) (tsad.tasks.preprocess.PrepareSeqSamplesTask method) (tsad.tasks.preprocess.ResampleProcessingTask method) (tsad.tasks.preprocess.SplitByNaNTask method) (tsad.tasks.preprocess.ValueRangeProcessingTask method) (tsad.utils.ResidualAnomalyDetectionUtils.stastics.Hotelling method)

fit_trasform() (tsad.utils.featproc.toSpike.R_to_I method) frame (tsad.base.datasets.Dataset attribute) freq_tobe (tsad.tasks.eda.TimeDiscretizationResult attribute) (tsad.tasks.preprocess.ResampleProcessingResult attribute) frequence_of_diff_interval (tsad.tasks.eda.TimeDiscretizationResult attribute) full_nan_col_names (tsad.tasks.eda.FindNaNResult attribute) full_nan_col_numbers (tsad.tasks.eda.FindNaNResult attribute) full_nan_col_percent (tsad.tasks.eda.FindNaNResult attribute) full_nan_row_names (tsad.tasks.eda.FindNaNResult attribute) full_nan_row_numbers (tsad.tasks.eda.FindNaNResult attribute) full_nan_row_percent (tsad.tasks.eda.FindNaNResult attribute)

H

HighLevelDatasetAnalysisResult (class in tsad.tasks.eda)

HighLevelDatasetAnalysisTask (class in tsad.tasks.eda) Hotelling (class in tsad.utils.ResidualAnomalyDetectionUtils.stastics)

I

import_module_from_GitHub() (in module tsad.utils.imports)

index_freq_climed (tsad.tasks.eda.TimeDiscretizationResult attribute) inverse_tranform() (tsad.utils.featproc.toSpike.R_to_I method)

K

koefI_to_koefSeqI() (tsad.utils.featproc.toSpike.R_to_I method)

L

length (tsad.tasks.eda.HighLevelDatasetAnalysisResult attribute) list_of_datasets() (in module tsad.base.datasets) load_combines() (in module tsad.base.datasets) load_exhauster_faults() (in module tsad.base.datasets) load_pwr_anomalies() (in module tsad.base.datasets)

load_skab() (in module tsad.base.datasets) load_skab_teaser() (in module tsad.base.datasets) load_tep() (in module tsad.base.datasets) load_transformer_rul() (in module tsad.base.datasets) load_turbofan_jet_engine() (in module tsad.base.datasets) Loader (class in tsad.utils.iterators)

M

mask_nan (tsad.tasks.eda.FindNaNResult attribute) matrix_nan (tsad.tasks.eda.FindNaNResult attribute) max_diff (tsad.tasks.eda.TimeDiscretizationResult attribute) max_values (tsad.tasks.preprocess.ValueRangeProcessingResult attribute) min_diff (tsad.tasks.eda.TimeDiscretizationResult attribute) min_values (tsad.tasks.preprocess.ValueRangeProcessingResult attribute) mode (tsad.base.pipeline.Pipeline attribute) module tsad tsad.base tsad.base.datasets tsad.base.exceptions tsad.base.pipeline tsad.base.task tsad.base.wrappers tsad.tasks tsad.tasks.eda tsad.tasks.preprocess tsad.utils tsad.utils.eda tsad.utils.evaluating tsad.utils.evaluating.evaluating tsad.utils.evaluating.src tsad.utils.evaluating.univariate_funcs tsad.utils.featproc tsad.utils.featproc.toSpike tsad.utils.imports tsad.utils.iterators tsad.utils.ml_models tsad.utils.preproc tsad.utils.ResidualAnomalyDetectionUtils tsad.utils.ResidualAnomalyDetectionUtils.feature_importance tsad.utils.ResidualAnomalyDetectionUtils.generateResidual tsad.utils.ResidualAnomalyDetectionUtils.stastics tsad.utils.trainTestSplitting

most_frequent_diff_amount_cases (tsad.tasks.eda.TimeDiscretizationResult attribute) most_frequent_diff_amount_cases_percent (tsad.tasks.eda.TimeDiscretizationResult attribute) most_frequent_diff_value (tsad.tasks.eda.TimeDiscretizationResult attribute) my_scale() (in module tsad.utils.evaluating.univariate_funcs)

N

name (tsad.base.datasets.Dataset attribute) (tsad.base.task.Task attribute)

nan_by_col (tsad.tasks.eda.FindNaNResult attribute)

P

Pipeline (class in tsad.base.pipeline) PipelineMode (class in tsad.base.pipeline) PREDICT (tsad.base.pipeline.PipelineMode attribute) predict() (tsad.base.pipeline.Pipeline method) (tsad.base.task.Task method) (tsad.tasks.eda.EquipmentDowntimeTask method) (tsad.tasks.eda.FindNaNTask method) (tsad.tasks.eda.HighLevelDatasetAnalysisTask method) (tsad.tasks.eda.TimeDiscretizationTask method) (tsad.tasks.preprocess.PrepareSeqSamplesTask method) (tsad.tasks.preprocess.ResampleProcessingTask method) (tsad.tasks.preprocess.SplitByNaNTask method) (tsad.tasks.preprocess.ValueRangeProcessingTask method) (tsad.utils.ResidualAnomalyDetectionUtils.stastics.Hotelling method)

PrepareSeqSamplesResult (class in tsad.tasks.preprocess) PrepareSeqSamplesTask (class in tsad.tasks.preprocess)

R

R_to_I (class in tsad.utils.featproc.toSpike) ResampleProcessingResult (class in tsad.tasks.preprocess)

ResampleProcessingTask (class in tsad.tasks.preprocess) run_arguments (tsad.base.pipeline.Pipeline attribute) RUNNING (tsad.base.task.TaskStatus attribute)

S

save() (tsad.base.task.TaskResult method) show() (tsad.base.task.TaskResult method) (tsad.tasks.eda.EquipmentDowntimeResult method) (tsad.tasks.eda.FindNaNResult method) (tsad.tasks.eda.HighLevelDatasetAnalysisResult method) (tsad.tasks.eda.TimeDiscretizationResult method) (tsad.tasks.preprocess.PrepareSeqSamplesResult method) (tsad.tasks.preprocess.ResampleProcessingResult method) (tsad.tasks.preprocess.SplitByNaNResult method) (tsad.tasks.preprocess.ValueRangeProcessingResult method)

single_average_delay() (in module tsad.utils.evaluating.univariate_funcs) single_detecting_boundaries() (in module tsad.utils.evaluating.src) single_evaluate_nab() (in module tsad.utils.evaluating.univariate_funcs) SklearnWrapper() (in module tsad.base.wrappers) split_by_repeated() (in module tsad.utils.preproc) SplitByNaNResult (class in tsad.tasks.preprocess) SplitByNaNTask (class in tsad.tasks.preprocess) start_time (tsad.tasks.eda.HighLevelDatasetAnalysisResult attribute) status (tsad.base.task.Task attribute) SUCCEEDED (tsad.base.task.TaskStatus attribute) sum_nan_by_col (tsad.tasks.eda.FindNaNResult attribute)

T

target (tsad.base.datasets.Dataset attribute) target_names (tsad.base.datasets.Dataset attribute) Task (class in tsad.base.task) task (tsad.base.datasets.Dataset attribute) TaskResult (class in tsad.base.task) TaskStatus (class in tsad.base.task) TimeDiscretizationResult (class in tsad.tasks.eda) TimeDiscretizationTask (class in tsad.tasks.eda) total_nan_number (tsad.tasks.eda.FindNaNResult attribute) total_nan_percent (tsad.tasks.eda.FindNaNResult attribute) transform() (tsad.utils.featproc.toSpike.R_to_I method) ts_train_test_split() (in module tsad.utils.trainTestSplitting) ts_train_test_split_dfs() (in module tsad.utils.trainTestSplitting) tsad module tsad.base module tsad.base.datasets module tsad.base.exceptions module tsad.base.pipeline module tsad.base.task module tsad.base.wrappers module tsad.tasks module tsad.tasks.eda module tsad.tasks.preprocess module tsad.utils module

tsad.utils.eda module tsad.utils.evaluating module tsad.utils.evaluating.evaluating module tsad.utils.evaluating.src module tsad.utils.evaluating.univariate_funcs module tsad.utils.featproc module tsad.utils.featproc.toSpike module tsad.utils.imports module tsad.utils.iterators module tsad.utils.ml_models module tsad.utils.preproc module tsad.utils.ResidualAnomalyDetectionUtils module tsad.utils.ResidualAnomalyDetectionUtils.feature_importance module tsad.utils.ResidualAnomalyDetectionUtils.generateResidual module tsad.utils.ResidualAnomalyDetectionUtils.stastics module tsad.utils.trainTestSplitting module types (tsad.tasks.eda.HighLevelDatasetAnalysisResult attribute)

U

UNKNOWN (tsad.base.task.TaskStatus attribute)

UnsupportedTaskResultException

V

value_counts_interval() (in module tsad.utils.eda) (in module tsad.utils.preproc)

ValueRangeProcessingResult (class in tsad.tasks.preprocess) ValueRangeProcessingTask (class in tsad.tasks.preprocess)