| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2021-10-31 | 992 Bytes | |
| Release of version 0.12.0 source code.tar.gz | 2021-10-31 | 2.6 MB | |
| Release of version 0.12.0 source code.zip | 2021-10-31 | 2.7 MB | |
| Totals: 3 Items | 5.4 MB | 0 | |
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-learnmixin classes withpytsmixin 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:
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pyts.preprocessing.KBinsDiscretizer pyts.approximation.SymbolicAggregateApproximationpyts.bag_of_words.BagOfWords-
pyts.classification.SAXVSM -
Remove specific functions for the different variants of Dynamic Time Warping (all
dtw_*functions), only the mainpyts.metrics.dtwis kept.