A new version of pyts is released! The highlights of this release are:
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Add support for Python 3.9 and drop support for Python 3.6.
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Add the Time Series Forest algorithm implemented as
pyts.classification.TimeSeriesForest. -
Add the Time Series Bag-of-Features algorithm implemented as
pyts.classification.TSBF. -
Replace
scikit-learnmixin classes withpytsmixin classes to have standardized docstrings. -
Update the examples in the Imaging time series section of the gallery of examples.
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Remove some constraints when discretizing time series (number of bins, time series with low variance) that impact the following classes:
pyts.preprocessing.KBinsDiscretizerpyts.approximation.SymbolicAggregateApproximationpyts.bag_of_words.BagOfWordspyts.classification.SAXVSM
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Remove specific functions for the different variants of Dynamic Time Warping (all
dtw_*functions), only the mainpyts.metrics.dtwis kept.