tsad package

Subpackages

• tsad.base package
  • Submodules
  • tsad.base.datasets module
    • Dataset
      • Dataset.description
      • Dataset.feature_names
      • Dataset.frame
      • Dataset.name
      • Dataset.target
      • Dataset.target_names
      • Dataset.task
    • list_of_datasets()
    • load_combines()
    • load_exhauster_faults()
    • load_pwr_anomalies()
    • load_skab()
    • load_skab_teaser()
    • load_tep()
    • load_transformer_rul()
    • load_turbofan_jet_engine()
  • tsad.base.exceptions module
    • ArgumentNotFoundException
    • UnsupportedTaskResultException
  • tsad.base.pipeline module
    • Pipeline
      • Pipeline.fit_predict()
      • Pipeline.mode
      • Pipeline.predict()
      • Pipeline.run_arguments
    • PipelineMode
      • PipelineMode.FIT_PREDICT
      • PipelineMode.PREDICT
  • tsad.base.task module
    • Task
      • Task.fit_predict()
      • Task.name
      • Task.predict()
      • Task.status
    • TaskResult
      • TaskResult.save()
      • TaskResult.show()
    • TaskStatus
      • TaskStatus.FAILED
      • TaskStatus.RUNNING
      • TaskStatus.SUCCEEDED
      • TaskStatus.UNKNOWN
  • tsad.base.wrappers module
    • SklearnWrapper()
  • Module contents
• tsad.tasks package
  • Submodules
  • tsad.tasks.deep_learning_anomaly_detection module
  • tsad.tasks.deep_learning_forecasting module
  • tsad.tasks.eda module
    • EquipmentDowntimeResult
      • EquipmentDowntimeResult.equipment_downtimes
      • EquipmentDowntimeResult.show()
    • EquipmentDowntimeTask
      • EquipmentDowntimeTask.fit_predict()
      • EquipmentDowntimeTask.predict()
    • FindNaNResult
      • FindNaNResult.dataset_analysis_result
      • FindNaNResult.full_nan_col_names
      • FindNaNResult.full_nan_col_numbers
      • FindNaNResult.full_nan_col_percent
      • FindNaNResult.full_nan_row_names
      • FindNaNResult.full_nan_row_numbers
      • FindNaNResult.full_nan_row_percent
      • FindNaNResult.mask_nan
      • FindNaNResult.matrix_nan
      • FindNaNResult.nan_by_col
      • FindNaNResult.show()
      • FindNaNResult.sum_nan_by_col
      • FindNaNResult.total_nan_number
      • FindNaNResult.total_nan_percent
    • FindNaNTask
      • FindNaNTask.fit_predict()
      • FindNaNTask.predict()
    • HighLevelDatasetAnalysisResult
      • HighLevelDatasetAnalysisResult.columns
      • HighLevelDatasetAnalysisResult.duration
      • HighLevelDatasetAnalysisResult.end_time
      • HighLevelDatasetAnalysisResult.length
      • HighLevelDatasetAnalysisResult.show()
      • HighLevelDatasetAnalysisResult.start_time
      • HighLevelDatasetAnalysisResult.types
    • HighLevelDatasetAnalysisTask
      • HighLevelDatasetAnalysisTask.fit_predict()
      • HighLevelDatasetAnalysisTask.predict()
    • TimeDiscretizationResult
      • TimeDiscretizationResult.amount_unique_diff
      • TimeDiscretizationResult.amount_unique_diff_percent
      • TimeDiscretizationResult.dataset_analysis_result
      • TimeDiscretizationResult.freq_tobe
      • TimeDiscretizationResult.frequence_of_diff_interval
      • TimeDiscretizationResult.index_freq_climed
      • TimeDiscretizationResult.max_diff
      • TimeDiscretizationResult.min_diff
      • TimeDiscretizationResult.most_frequent_diff_amount_cases
      • TimeDiscretizationResult.most_frequent_diff_amount_cases_percent
      • TimeDiscretizationResult.most_frequent_diff_value
      • TimeDiscretizationResult.show()
    • TimeDiscretizationTask
      • TimeDiscretizationTask.fit_predict()
      • TimeDiscretizationTask.predict()
  • tsad.tasks.feature_generation module
  • tsad.tasks.feature_selection module
  • tsad.tasks.preprocess module
    • PrepareSeqSamplesResult
      • PrepareSeqSamplesResult.show()
    • PrepareSeqSamplesTask
      • PrepareSeqSamplesTask.fit_predict()
      • PrepareSeqSamplesTask.predict()
    • ResampleProcessingResult
      • ResampleProcessingResult.freq_tobe
      • ResampleProcessingResult.show()
    • ResampleProcessingTask
      • ResampleProcessingTask.fit_predict()
      • ResampleProcessingTask.predict()
    • SplitByNaNResult
      • SplitByNaNResult.show()
    • SplitByNaNTask
      • SplitByNaNTask.fit_predict()
      • SplitByNaNTask.predict()
    • ValueRangeProcessingResult
      • ValueRangeProcessingResult.max_values
      • ValueRangeProcessingResult.min_values
      • ValueRangeProcessingResult.show()
    • ValueRangeProcessingTask
      • ValueRangeProcessingTask.fit_predict()
      • ValueRangeProcessingTask.predict()
  • tsad.tasks.visualization module
  • Module contents
• tsad.utils package
  • Subpackages
    • tsad.utils.ResidualAnomalyDetectionUtils package
      • Submodules
      • tsad.utils.ResidualAnomalyDetectionUtils.feature_importance module
      • tsad.utils.ResidualAnomalyDetectionUtils.generateResidual module
      • tsad.utils.ResidualAnomalyDetectionUtils.stastics module
      • Module contents
    • tsad.utils.evaluating package
      • Submodules
      • tsad.utils.evaluating.evaluating module
      • tsad.utils.evaluating.src module
      • tsad.utils.evaluating.univariate_funcs module
      • Module contents
    • tsad.utils.featproc package
      • Submodules
      • tsad.utils.featproc.toSpike module
      • Module contents
    • tsad.utils.ml_models package
      • Submodules
      • tsad.utils.ml_models.deeplearning_regressors module
      • tsad.utils.ml_models.fitUtils module
      • tsad.utils.ml_models.nn_for_anomaly_detection module
      • Module contents
  • Submodules
  • tsad.utils.eda module
    • value_counts_interval()
  • tsad.utils.imports module
    • import_module_from_GitHub()
  • tsad.utils.iterators module
    • Loader
  • tsad.utils.preproc module
    • df2dfs()
    • split_by_repeated()
    • value_counts_interval()
  • tsad.utils.trainTestSplitting module
    • ts_train_test_split()
    • ts_train_test_split_dfs()
  • tsad.utils.visualization module
  • Module contents

Submodules

tsad.pipelines module

Module contents