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…sonality before stationarity check
* Fixes LearningShapelets masking issue with Keras 3.14 (#660) * Fixes masking issue with Keras 3.14 (after keras-team/keras#21946) * Update changelog * Test against Keras nightly (#661) * Test against Keras nightly * Fixes LearningShapelets masking issue with Keras 3.14 (#660) (#662) * Fixes masking issue with Keras 3.14 (after keras-team/keras#21946) * Update changelog * Parallelize dtw barycenter computation (#658) * Parallelize dtw barycenter computation * Add tests * Update changelog * docs: add MacOS SSL certificate note to datasets module (#663) On MacOS, downloading datasets may fail with SSL certificate errors unless certificates are installed for the Python runtime. This adds a note to the datasets module docstring explaining the fix. Fixes #396 Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com> --------- Co-authored-by: Matt Van Horn <mvanhorn@users.noreply.github.com> Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #665 +/- ##
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+ Coverage 93.67% 93.97% +0.30%
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Files 73 76 +3
Lines 6953 7335 +382
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+ Hits 6513 6893 +380
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Add VARIMA and AutoVARIMA models for forecasting.
Supports naive seasonality.
Supports variable length TS.
VARIMA uses scipy nelder-mead optimization when q>0
AutoVARIMA uses statsmodels kpss tests for stationarity
Based on https://otexts.com/fpp3/
TODO: