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Showing content from https://tslearn.readthedocs.io/en/stable/auto_examples/index.html below:

Gallery of examples — tslearn 0.6.4 documentation

Gallery of examples Metrics

Longest Common Subsequence

Longest Common Subsequence

LB_Keogh

LB_Keogh

Canonical Time Warping

Canonical Time Warping

sDTW multi path matching

sDTW multi path matching

Longest Common Subsequence with a custom distance metric

Longest Common Subsequence with a custom distance metric

Dynamic Time Warping

Dynamic Time Warping

Soft Dynamic Time Warping

Soft Dynamic Time Warping

DTW computation with a custom distance metric

DTW computation with a custom distance metric

Nearest Neighbors

k-NN search

k-NN search

Nearest neighbors

Nearest neighbors

Hyper-parameter tuning of a Pipeline with KNeighborsTimeSeriesClassifier

Hyper-parameter tuning of a Pipeline with KNeighborsTimeSeriesClassifier

1-NN with SAX + MINDIST

1-NN with SAX + MINDIST

Clustering and Barycenters

KShape

KShape

Kernel k-means

Kernel k-means

Barycenters

Barycenters

Soft-DTW weighted barycenters

Soft-DTW weighted barycenters

k-means

k-means

Classification

SVM and GAK

SVM and GAK

Learning Shapelets

Learning Shapelets

Early Classification

Early Classification

Aligning discovered shapelets with timeseries

Aligning discovered shapelets with timeseries

Learning Shapelets: decision boundaries in 2D distance space

Learning Shapelets: decision boundaries in 2D distance space

Automatic differentiation

Soft-DTW loss for PyTorch neural network

Soft-DTW loss for PyTorch neural network

Miscellaneous

Model Persistence

Model Persistence

PAA and SAX features

PAA and SAX features

Matrix Profile

Matrix Profile

Distance and Matrix Profiles

Distance and Matrix Profiles

Download all examples in Python source code: auto_examples_python.zip

Download all examples in Jupyter notebooks: auto_examples_jupyter.zip

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