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Release of version 0.13.0

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@johannfaouzi johannfaouzi released this 18 Jun 12:34
· 1 commit to main since this release
v0.13.0
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Learn about vigilant mode.

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

  • Add support for Python 3.10 and 3.11, and drop support for Python 3.7.

  • Update the minimal versions required of the dependencies:

    • NumPy (>= 1.22.4)
    • SciPy (>= 1.8.1)
    • Scikit-Learn (>=1.2.0)
    • Joblib (>=1.1.1)
    • Numba (>=0.55.2)

  • Add an example illustrating time series clustering using
    pyts.transformation.BOSS transformation with different metrics
    (by Lucas Plagwitz).

  • Add automatic components-grouping in the Singular Spectrum Analysis
    for trend-seasonal decomposition with suitable example (by Lucas Plagwitz).

  • Add two new parameters in pyts.decomposition.SingularSpectrumAnalysis:
    chunksize allows for computing the decomposition of all the input time
    series using chunks (it should be a bit slower but use less memory), and
    n_jobs allows for running the decomposition of each chunk in parallel.

  • Set the number of initiations of K-means to compute the initial shapelets
    in pyts.classification.LearningShapelets: to 10 (to prevent a change
    of the default value in scikit-learn).

  • Replace base_estimator_ attribute with estimator_ in
    pyts.classification.TimeSeriesForest and
    pyts.classification.TSBF (to match the changes made in scikit-learn).

Assets 2