Skip to main content
Ctrl+K
tslearn 0.8.1 documentation - Home tslearn 0.8.1 documentation - Home
  • Quick-start guide
  • User Guide
  • API Reference
  • Gallery of examples
  • Citing tslearn
  • GitHub
  • Quick-start guide
  • User Guide
  • API Reference
  • Gallery of examples
  • Citing tslearn
  • GitHub

Section Navigation

  • tslearn.barycenters
    • euclidean_barycenter
    • dtw_barycenter_averaging
    • dtw_barycenter_averaging_subgradient
    • softdtw_barycenter
  • tslearn.clustering
    • KernelKMeans
    • KShape
    • TimeSeriesKMeans
    • TimeSeriesDBSCAN
    • silhouette_score
  • tslearn.datasets
    • UCR_UEA_datasets
    • CachedDatasets
  • tslearn.early_classification
    • NonMyopicEarlyClassifier
  • tslearn.generators
    • random_walk_blobs
    • random_walks
  • tslearn.matrix_profile
    • MatrixProfile
  • tslearn.metrics
    • compute_mask
    • sakoe_chiba_mask
    • itakura_mask
    • cdist_dtw
    • cdist_gak
    • cdist_soft_dtw
    • cdist_soft_dtw_normalized
    • cdist_frechet
    • ctw
    • ctw_path
    • dtw
    • dtw_path
    • dtw_path_from_metric
    • dtw_limited_warping_length
    • dtw_path_limited_warping_length
    • subsequence_path
    • subsequence_cost_matrix
    • dtw_subsequence_path
    • lcss
    • lcss_path
    • lcss_path_from_metric
    • gak
    • soft_dtw
    • soft_dtw_alignment
    • lb_envelope
    • lb_keogh
    • sigma_gak
    • gamma_soft_dtw
    • SoftDTWLossPyTorch
    • frechet
    • frechet_path
    • frechet_path_from_metric
  • tslearn.neural_network
    • TimeSeriesMLPClassifier
    • TimeSeriesMLPRegressor
  • tslearn.neighbors
    • KNeighborsTimeSeries
    • KNeighborsTimeSeriesClassifier
    • KNeighborsTimeSeriesRegressor
  • tslearn.piecewise
    • OneD_SymbolicAggregateApproximation
    • PiecewiseAggregateApproximation
    • SymbolicAggregateApproximation
  • tslearn.preprocessing
    • TimeSeriesScalerMeanVariance
    • TimeSeriesScalerMinMax
    • TimeSeriesResampler
    • TimeSeriesImputer
  • tslearn.shapelets
    • grabocka_params_to_shapelet_size_dict
    • LearningShapelets
  • tslearn.svm
    • TimeSeriesSVC
    • TimeSeriesSVR
  • tslearn.utils
    • to_time_series
    • to_time_series_dataset
    • to_sklearn_dataset
    • ts_size
    • ts_zeros
    • load_time_series_txt
    • save_time_series_txt
    • check_equal_size
    • check_dims
    • to_pyts_dataset
    • from_pyts_dataset
    • to_sktime_dataset
    • from_sktime_dataset
    • to_cesium_dataset
    • from_cesium_dataset
    • to_seglearn_dataset
    • from_seglearn_dataset
    • to_tsfresh_dataset
    • from_tsfresh_dataset
    • to_stumpy_dataset
    • from_stumpy_dataset
    • to_pyflux_dataset
    • from_pyflux_dataset
  • API Reference
  • tslearn.preprocessing

tslearn.preprocessing#

The tslearn.preprocessing module gathers time series scalers and resamplers.

Classes

TimeSeriesScalerMeanVariance([mu, std, ...])

Scaler for time series datasets.

TimeSeriesScalerMinMax([value_range, ...])

Scaler for time series datasets.

TimeSeriesResampler([sz])

Resampler for time series.

TimeSeriesImputer([method, value, ...])

Missing value imputer for time series.

previous

SymbolicAggregateApproximation

next

TimeSeriesScalerMeanVariance

© Copyright 2025, Romain Tavenard.

Created using Sphinx 9.1.0.

Built with the PyData Sphinx Theme 0.16.1.