feat(KDP): adding timeseries features functionality and layers #29
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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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## 1.11.0 (2025-05-28) * feat(KDP): adding new layers / features to timeseries ([519bb06](519bb06)) * feat(KDP): adding timeseries features ([7e819dc](7e819dc)) * feat(KDP): adding timeseries features functionality and layers (#29) ([ff38437](ff38437)), closes [#29](#29) * feat(KDP): adding timeseries inference formatter ([c83cd48](c83cd48)) * fix(KDP): fix pre-commit ([e1f77f4](e1f77f4)) * fix(KDP): fixing docs plugin ([21dba63](21dba63)) * fix(KDP): fixing symbolic tensors shape calculations ([d810e62](d810e62)) * fix(KDP): getting rid of hardcoded test requirements ([849a982](849a982)) * fix(KDP): removing print and replacing by logger ([2333152](2333152)) * docs(KDP): correctly referencing timeseries features ([13e4511](13e4511)) * docs(KDP): extending docs and tests for timeseries features ([37f4f24](37f4f24)) * test(KDP): adding more timeseries feature tests ([8c317bf](8c317bf)) * ops(KDP): cleaning workflows ([37da166](37da166)) * ops(KDP): fix docs release errors ([b8972c4](b8972c4)) * ops(KDP): fixing release ([37474e7](37474e7)) * ops(KDP): improve release workflow ([2504321](2504321)) * ops(KDP): updating after release notes ([cc41dad](cc41dad))
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This pull request includes several changes to the
Makefile, new example scripts, and updates to thekdplibrary, primarily focused on enhancing time series feature processing and improving documentation generation.Makefile Updates:
generate_all_diagramstarget to generate and organize all diagrams in one step, and deprecated the oldgenerate_doc_contenttarget. Updated other targets to usegenerate_all_diagramsinstead. [1] [2] [3]New Example Scripts:
examples/time_series_features_example.pydemonstrating the use of new time series feature layers likeWaveletTransformLayerandTSFreshFeatureLayer.Documentation and Code Quality:
# ruff: noqa: E402to the top of example scripts to ignore import order warnings. [1] [2]ideas.mdwith advanced suggestions for enhancing time series preprocessing capabilities.kdpLibrary Enhancements:TimeSeriesFeatureto thekdplibrary's__init__.pyto include it in the public API. [1] [2]from_configmethods for better serialization and deserialization. [1] [2] [3] [4] [5]kdp.layers.time_seriesmodule to include new layers likeLagFeatureLayer,RollingStatsLayer, andWaveletTransformLayer.