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Release of version 0.12.0
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@johannfaouzi johannfaouzi released this 31 Oct 13:50
v0.12.0
9c89a04

A new version of pyts is released! The highlights of this release are:

  • Add support for Python 3.9 and drop support for Python 3.6.

  • 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-learn mixin classes with pyts mixin classes to have standardized docstrings.

  • Update the examples in the Imaging time series section of the gallery of examples.

  • Remove some constraints when discretizing time series (number of bins, time series with low variance) that impact the following classes:

    • pyts.preprocessing.KBinsDiscretizer
    • pyts.approximation.SymbolicAggregateApproximation
    • pyts.bag_of_words.BagOfWords
    • pyts.classification.SAXVSM

  • Remove specific functions for the different variants of Dynamic Time Warping (all dtw_* functions), only the main pyts.metrics.dtw is kept.

Assets 2