API Reference#

The complete tslearn project is automatically documented for every module.

`barycenters`	The `tslearn.barycenters` module gathers algorithms for time series barycenter computation.
`clustering`	The `tslearn.clustering` module gathers time series specific clustering algorithms.
`datasets`	The `tslearn.datasets` module provides simplified access to standard time series datasets.
`early_classification`	The `tslearn.early_classification` module gathers early classifiers for time series.
`generators`	The `tslearn.generators` module gathers synthetic time series dataset generation routines.
`matrix_profile`	The `tslearn.matrix_profile` module gathers methods for the computation of Matrix Profiles from time series.
`metrics`	The `tslearn.metrics` module delivers time-series specific metrics to be used at the core of machine learning algorithms.
`neural_network`	The `tslearn.neural_network` module contains multi-layer perceptron models for time series classification and regression.
`neighbors`	The `tslearn.neighbors` module gathers nearest neighbor algorithms using time series metrics.
`piecewise`	The `tslearn.piecewise` module gathers time series piecewise approximation algorithms.
`preprocessing`	The `tslearn.preprocessing` module gathers time series scalers and resamplers.
`shapelets`	The `tslearn.shapelets` module gathers Shapelet-based algorithms.
`svm`	The `tslearn.svm` module contains Support Vector Classifier (SVC) and Support Vector Regressor (SVR) models for time series.
`utils`	The `tslearn.utils` module includes various utilities.