tsfresh package

Subpackages

• tsfresh.convenience package
  • Submodules
  • tsfresh.convenience.bindings module
    • dask_feature_extraction_on_chunk()
    • spark_feature_extraction_on_chunk()
  • tsfresh.convenience.relevant_extraction module
    • extract_relevant_features()
  • Module contents
• tsfresh.examples package
  • Submodules
  • tsfresh.examples.driftbif_simulation module
    • load_driftbif()
    • sample_tau()
    • velocity
      • velocity.simulate()
  • tsfresh.examples.har_dataset module
    • download_har_dataset()
    • load_har_classes()
    • load_har_dataset()
  • tsfresh.examples.robot_execution_failures module
    • download_robot_execution_failures()
    • load_robot_execution_failures()
  • Module contents
• tsfresh.feature_extraction package
  • Submodules
  • tsfresh.feature_extraction.data module
    • DaskTsAdapter
      • DaskTsAdapter.apply()
      • DaskTsAdapter.pivot()
    • LongTsFrameAdapter
    • PartitionedTsData
      • PartitionedTsData.pivot()
    • Timeseries
    • TsData
    • TsDictAdapter
    • WideTsFrameAdapter
    • to_tsdata()
  • tsfresh.feature_extraction.extraction module
    • extract_features()
  • tsfresh.feature_extraction.feature_calculators module
    • abs_energy()
    • absolute_maximum()
    • absolute_sum_of_changes()
    • agg_autocorrelation()
    • agg_linear_trend()
    • approximate_entropy()
    • ar_coefficient()
    • augmented_dickey_fuller()
    • autocorrelation()
    • benford_correlation()
    • binned_entropy()
    • c3()
    • change_quantiles()
    • cid_ce()
    • count_above()
    • count_above_mean()
    • count_below()
    • count_below_mean()
    • cwt_coefficients()
    • energy_ratio_by_chunks()
    • fft_aggregated()
    • fft_coefficient()
    • first_location_of_maximum()
    • first_location_of_minimum()
    • fourier_entropy()
    • friedrich_coefficients()
    • has_duplicate()
    • has_duplicate_max()
    • has_duplicate_min()
    • index_mass_quantile()
    • kurtosis()
    • large_standard_deviation()
    • last_location_of_maximum()
    • last_location_of_minimum()
    • lempel_ziv_complexity()
    • length()
    • linear_trend()
    • linear_trend_timewise()
    • longest_strike_above_mean()
    • longest_strike_below_mean()
    • matrix_profile()
    • max_langevin_fixed_point()
    • maximum()
    • mean()
    • mean_abs_change()
    • mean_change()
    • mean_n_absolute_max()
    • mean_second_derivative_central()
    • median()
    • minimum()
    • number_crossing_m()
    • number_cwt_peaks()
    • number_peaks()
    • partial_autocorrelation()
    • percentage_of_reoccurring_datapoints_to_all_datapoints()
    • percentage_of_reoccurring_values_to_all_values()
    • permutation_entropy()
    • quantile()
    • query_similarity_count()
    • range_count()
    • ratio_beyond_r_sigma()
    • ratio_value_number_to_time_series_length()
    • root_mean_square()
    • sample_entropy()
    • set_property()
    • skewness()
    • spkt_welch_density()
    • standard_deviation()
    • sum_of_reoccurring_data_points()
    • sum_of_reoccurring_values()
    • sum_values()
    • symmetry_looking()
    • time_reversal_asymmetry_statistic()
    • value_count()
    • variance()
    • variance_larger_than_standard_deviation()
    • variation_coefficient()
  • tsfresh.feature_extraction.settings module
    • ComprehensiveFCParameters
    • EfficientFCParameters
    • IndexBasedFCParameters
    • MinimalFCParameters
    • PickableSettings
    • TimeBasedFCParameters
    • from_columns()
    • include_function()
  • Module contents
• tsfresh.feature_selection package
  • Submodules
  • tsfresh.feature_selection.relevance module
    • calculate_relevance_table()
    • combine_relevance_tables()
    • get_feature_type()
    • infer_ml_task()
  • tsfresh.feature_selection.selection module
    • select_features()
  • tsfresh.feature_selection.significance_tests module
    • target_binary_feature_binary_test()
    • target_binary_feature_real_test()
    • target_real_feature_binary_test()
    • target_real_feature_real_test()
  • Module contents
• tsfresh.scripts package
  • Submodules
  • tsfresh.scripts.measure_execution_time module
    • CombinerTask
      • CombinerTask.complete()
      • CombinerTask.output()
      • CombinerTask.requires()
      • CombinerTask.run()
    • DataCreationTask
      • DataCreationTask.num_ids
      • DataCreationTask.output()
      • DataCreationTask.random_seed
      • DataCreationTask.run()
      • DataCreationTask.time_series_length
    • FullTimingTask
      • FullTimingTask.n_jobs
      • FullTimingTask.num_ids
      • FullTimingTask.output()
      • FullTimingTask.random_seed
      • FullTimingTask.requires()
      • FullTimingTask.run()
      • FullTimingTask.time_series_length
    • TimingTask
      • TimingTask.feature_parameter
      • TimingTask.n_jobs
      • TimingTask.num_ids
      • TimingTask.output()
      • TimingTask.random_seed
      • TimingTask.requires()
      • TimingTask.run()
      • TimingTask.time_series_length
      • TimingTask.try_number
  • tsfresh.scripts.run_tsfresh module
    • main()
  • tsfresh.scripts.test_timing module
    • measure_temporal_complexity()
    • plot_results()
    • simulate_with_length()
  • Module contents
• tsfresh.transformers package
  • Submodules
  • tsfresh.transformers.feature_augmenter module
    • FeatureAugmenter
      • FeatureAugmenter.fit()
      • FeatureAugmenter.set_timeseries_container()
      • FeatureAugmenter.transform()
  • tsfresh.transformers.feature_selector module
    • FeatureSelector
      • FeatureSelector.fit()
      • FeatureSelector.transform()
  • tsfresh.transformers.per_column_imputer module
    • PerColumnImputer
      • PerColumnImputer.fit()
      • PerColumnImputer.transform()
  • tsfresh.transformers.relevant_feature_augmenter module
    • RelevantFeatureAugmenter
      • RelevantFeatureAugmenter.fit()
      • RelevantFeatureAugmenter.fit_transform()
      • RelevantFeatureAugmenter.set_timeseries_container()
      • RelevantFeatureAugmenter.transform()
  • Module contents
• tsfresh.utilities package
  • Submodules
  • tsfresh.utilities.dataframe_functions module
    • add_sub_time_series_index()
    • check_for_nans_in_columns()
    • get_ids()
    • get_range_values_per_column()
    • impute()
    • impute_dataframe_range()
    • impute_dataframe_zero()
    • make_forecasting_frame()
    • restrict_input_to_index()
    • roll_time_series()
  • tsfresh.utilities.distribution module
    • ApplyDistributor
      • ApplyDistributor.map_reduce()
    • ClusterDaskDistributor
      • ClusterDaskDistributor.calculate_best_chunk_size()
      • ClusterDaskDistributor.close()
      • ClusterDaskDistributor.distribute()
    • DistributorBaseClass
      • DistributorBaseClass.map_reduce()
    • IterableDistributorBaseClass
      • IterableDistributorBaseClass.calculate_best_chunk_size()
      • IterableDistributorBaseClass.close()
      • IterableDistributorBaseClass.distribute()
      • IterableDistributorBaseClass.map_reduce()
      • IterableDistributorBaseClass.partition()
    • LocalDaskDistributor
      • LocalDaskDistributor.close()
      • LocalDaskDistributor.distribute()
    • MapDistributor
      • MapDistributor.calculate_best_chunk_size()
      • MapDistributor.distribute()
    • MultiprocessingDistributor
      • MultiprocessingDistributor.close()
      • MultiprocessingDistributor.distribute()
    • initialize_warnings_in_workers()
  • tsfresh.utilities.profiling module
    • end_profiling()
    • get_n_jobs()
    • set_n_jobs()
    • start_profiling()
  • tsfresh.utilities.string_manipulation module
    • convert_to_output_format()
    • get_config_from_string()
  • Module contents

Submodules

tsfresh.defaults module

Module contents

At the top level we export the three most important submodules of tsfresh, which are:

• extract_features

• select_features

• extract_relevant_features