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Title: GitHub - fishopera/tslearn: The machine learning toolkit for time series analysis in Python

Open Graph Title: GitHub - fishopera/tslearn: The machine learning toolkit for time series analysis in Python

X Title: GitHub - fishopera/tslearn: The machine learning toolkit for time series analysis in Python

Description: The machine learning toolkit for time series analysis in Python - fishopera/tslearn

Open Graph Description: The machine learning toolkit for time series analysis in Python - fishopera/tslearn

X Description: The machine learning toolkit for time series analysis in Python - fishopera/tslearn

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You can use the utility functions such as to_time_series_dataset.https://tslearn.readthedocs.io/en/stable/gen_modules/tslearn.utils.html#module-tslearn.utils
You can convert from other popular time series toolkits in Python.https://tslearn.readthedocs.io/en/stable/integration_other_software.html
You can load any of the UCR datasets in the required format.https://tslearn.readthedocs.io/en/stable/gen_modules/tslearn.datasets.html#module-tslearn.datasets
You can generate synthetic data using the generators module.https://tslearn.readthedocs.io/en/stable/gen_modules/tslearn.generators.html#module-tslearn.generators
supports variable-length timeserieshttps://tslearn.readthedocs.io/en/stable/variablelength.html
https://patch-diff.githubusercontent.com/fishopera/tslearn#2-data-preprocessing-and-transformations
scale time serieshttps://tslearn.readthedocs.io/en/stable/gen_modules/tslearn.preprocessing.html#module-tslearn.preprocessing
resamplehttps://tslearn.readthedocs.io/en/stable/gen_modules/preprocessing/tslearn.preprocessing.TimeSeriesResampler.html#tslearn.preprocessing.TimeSeriesResampler
piece-wise transformationhttps://tslearn.readthedocs.io/en/stable/gen_modules/tslearn.piecewise.html#module-tslearn.piecewise
https://patch-diff.githubusercontent.com/fishopera/tslearn#3-training-a-model
gallery of exampleshttps://tslearn.readthedocs.io/en/stable/auto_examples/index.html
hyper-parameter tuning and pipelineshttps://tslearn.readthedocs.io/en/stable/auto_examples/neighbors/plot_knnts_sklearn.html
https://patch-diff.githubusercontent.com/fishopera/tslearn#4-more-analyses
calculating barycentershttps://tslearn.readthedocs.io/en/stable/gen_modules/tslearn.barycenters.html#module-tslearn.barycenters
variety of distance metricshttps://tslearn.readthedocs.io/en/stable/gen_modules/tslearn.metrics.html#module-tslearn.metrics
https://patch-diff.githubusercontent.com/fishopera/tslearn#available-features
UCR Datasetshttps://tslearn.readthedocs.io/en/stable/gen_modules/tslearn.datasets.html#module-tslearn.datasets
Scalinghttps://tslearn.readthedocs.io/en/stable/gen_modules/tslearn.preprocessing.html#module-tslearn.preprocessing
TimeSeriesKMeanshttps://tslearn.readthedocs.io/en/stable/gen_modules/clustering/tslearn.clustering.TimeSeriesKMeans.html#tslearn.clustering.TimeSeriesKMeans
KNN Classifierhttps://tslearn.readthedocs.io/en/stable/gen_modules/neighbors/tslearn.neighbors.KNeighborsTimeSeriesClassifier.html#tslearn.neighbors.KNeighborsTimeSeriesClassifier
KNN Regressorhttps://tslearn.readthedocs.io/en/stable/gen_modules/neighbors/tslearn.neighbors.KNeighborsTimeSeriesRegressor.html#tslearn.neighbors.KNeighborsTimeSeriesRegressor
Dynamic Time Warpinghttps://tslearn.readthedocs.io/en/stable/gen_modules/metrics/tslearn.metrics.dtw.html#tslearn.metrics.dtw
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TimeSeriesSVChttps://tslearn.readthedocs.io/en/stable/gen_modules/svm/tslearn.svm.TimeSeriesSVC.html#tslearn.svm.TimeSeriesSVC
TimeSeriesSVRhttps://tslearn.readthedocs.io/en/stable/gen_modules/svm/tslearn.svm.TimeSeriesSVR.html#tslearn.svm.TimeSeriesSVR
Global Alignment Kernelhttps://tslearn.readthedocs.io/en/stable/gen_modules/metrics/tslearn.metrics.gak.html#tslearn.metrics.gak
1https://tslearn.readthedocs.io/en/stable/gen_modules/tslearn.utils.html#module-tslearn.utils
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LearningShapeletshttps://tslearn.readthedocs.io/en/stable/gen_modules/shapelets/tslearn.shapelets.LearningShapelets.html
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Early Classificationhttps://tslearn.readthedocs.io/en/stable/gen_modules/tslearn.early_classification.html#module-tslearn.early_classification
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torch-compatible implementation of SoftDTWhttps://github.com/Maghoumi/pytorch-softdtw-cuda
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