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