Skip to content

kdp.1.10.0

Choose a tag to compare

@github-actions github-actions released this 31 Mar 21:07
· 114 commits to main since this release

1.10.0 (2025-03-31)

  • ops(KDP): fixing action wrapper version (cae2785)
  • ops(KDP): fixing actions and node versions (28cd93b)
  • ops(KDP): fixing semantic release version problem (c6b612e)
  • ops(KDP): improving release workflows (3f91e19)
  • ops(KDP): increating python version allowance (1d06b76)
  • ops(KDP): increating python version allowance (6070e69)
  • ops(KDP): relaxing python requirements (fa903e4)
  • docs(KDP): add an example_usages (e980e12)
  • docs(KDP): add to the docs to showcase new features (790f102)
  • docs(KDP): added a diagram (48d2e57)
  • docs(KDP): added docs (d8da4c5)
  • docs(KDP): added docs (dd728ef)
  • docs(KDP): adding concrete examples of usage of advance features to docs (#21) (ea419cf), closes #21
  • docs(KDP): adding new styling (55ae7ce)
  • docs(KDP): adding some images and API documentation tools (a4be43f)
  • docs(KDP): adjusting numerical embeddings docs (45f8872)
  • docs(KDP): fixing missing links (076c9b3)
  • docs(KDP): improving documentation (02a137a)
  • docs(KDP): improving documentation (91d4f85)
  • docs(KDP): improving some remaining docs (0c932b0)
  • docs(KDP): refactoring documentation (1ccc3f2)
  • docs(KDP): removing whta we do not have (93706fb)
  • docs(KDP): reorganising documentation for better UX (a67c634)
  • docs(KDP): reorganising documentation for better UX (052454e)
  • docs(KDP): revamping entire docs (d0ef7b7)
  • docs(KDP): smart processing for custom pipelines (8e7d0a7)
  • docs(KDP): updating DistributionEncoder docs (1916c40)
  • feat(KDP): add the AdvancedNumericalEmbedding feature (8fa90e7)
  • feat(KDP): added option to specify the distribution manually (d3cce76)
  • feat(KDP): added selective retention of outputs based on dependencies among layers (c17acd2)
  • feat(KDP): addin DistributionAwareEncored layer and numeric preprocessing (9bfe276)
  • feat(KDP): adding auto config / recommender (00e75d6)
  • feat(KDP): adding categorical features hashing (078df9d)
  • feat(KDP): adding DistributionAwareEncored layer for numeric features preprocessing. (#20) (c988087), closes #20
  • feat(KDP): adding feature selection mechanism to the preprocessor (docs, tests) (#19) (462bfc1), closes #19
  • feat(KDP): adding Gater Residual Variable / Features Selection Network capability (f82b788)
  • feat(KDP): adding MoE feature and tests (fac7806)
  • feat(KDP): adding numerical embedding layers (#26) (5c3a974), closes #26
  • feat(KDP): adding passthrough feature (2965916)
  • feat(kdp): adding TabularAttentionLayers and implementation (f567585)
  • feat(kdp): adding TabularAttentionLayers and implementation (#11) (cfbd38b), closes #11
  • feat(KDP): Enhance Dynamic Preprocessing Pipeline (#24) (bd90f11), closes #24
  • feat(KDP): global embedding for numeric features option added (83f6996)
  • feat(KDP): Integrate Advanced Numerical Embedding (#25) (185292c), closes #25
  • feat(KDP): smart processing for custom pipelines (448f63f)
  • fix(KDP): add new examples for tabular attention cases and more complex Mixed Transformers and Tabul (16340f2)
  • fix(KDP): add transdormer() method to ProcessingModel (0c6c65c)
  • fix(KDP): added a missing code for the example for disttribution aware layer for custom pipelines (9ca9fad)
  • fix(KDP): added a missing code for the example for disttribution aware layer for custom pipelines (9b92475)
  • fix(KDP): added docstrings (0eb968d)
  • fix(KDP): added fixes for the distribution estimator and tests (da79bb9)
  • fix(KDP): Added get_feature_importances() method and fixed the docs. (664023f)
  • fix(KDP): added prefered_distribution parameter for NumericalFeatures (84b2eb5)
  • fix(KDP): adding FeatureSelection to Text and Date features (#28) (e1f453f), closes #28
  • fix(kdp): adding pre-commit fixes (ec98d29)
  • fix(KDP): broke transform method into 2 separate methods and end-to-end tests (11f258d)
  • fix(KDP): changed the order of the transormers and the tabularAttention applications (d387826)
  • fix(KDP): DistributionAwareEncoder fix and tests for custom pipelines (#23) (ad91096), closes #23
  • fix(KDP): edited some of the tests to reflect the changes in processor.py (23b36ce)
  • fix(KDP): edited the docs (34476c6)
  • fix(KDP): Fix linter errors: unused variable and rearranged imports (2c2a447)
  • fix(KDP): Fix remaining unused imports with ruff (fe3a014)
  • fix(KDP): fix_tabukar_att_and_transfor_order_and_add_docs (#17) (4b1c510), closes #17
  • fix(KDP): fixed all the algorithms for distribution detection all tests pass now (52dad69)
  • fix(KDP): Fixed dimensions micmatch for the input of the Tabular Attention (5a66ad1)
  • fix(KDP): fixed issues between graph and eager mode plus others (a3fe7e1)
  • fix(KDP): fixes to the tests (bc0c543)
  • fix(KDP): Fixing Distribution-Aware Encoder and adding comprehensive testing (#22) (97b41c3), closes #22
  • fix(kdp): fixing docs requirements and release for docs (9d8f8b3)
  • fix(KDP): fixing failiing tests (966434d)
  • fix(kdp): fixing formatting issues (352e72b)
  • fix(KDP): fixing layers functionality (ffe8d89)
  • fix(kdp): fixing tests fromatting (955ed08)
  • fix(KDP): fixing the doc (fdaa101)
  • fix(KDP): improving docs UX (f51daf8)
  • fix(KDP): reformatting with pre-commits (2f01e67)
  • fix(KDP): reformatting with pre-commits (2523f89)
  • fix(KDP): removed an unused method (a170db8)
  • fix(KDP): Removed some buggy feature (da24b7b)
  • fix(KDP): Removing data.csv (3ca0daf)
  • fix(KDP): small fixes (47a6267)
  • test(KDP): add end to end and unit test for the "TabularAttention" and the "MultiResolutionTabularAt (1cf5d09)
  • test(kdp): add end to end tests (a1b3018)
  • test(kdp): add end to end tests (#13) (5737d9b), closes #13
  • test(KDP): add more tests (a4d536c)
  • test(KDP): add more tests (#15) (84bfdc6), closes #15
  • test(KDP): add tests (5cb4e8e)
  • test(KDP): add tests (55cbbb3)
  • test(KDP): add tests and fix (#14) (5308029), closes #14
  • test(KDP): add tests for various cases and also a ValueError for missing vocab scenario (82a99a3)
  • test(KDP): add unit test for gates res network (1d980e0)
  • test(KDP): added test for advanced features (d4fc5f3)
  • test(KDP): added test for advanced features (c18a59b)
  • test(KDP): adding passthrough tests (f98dc2c)
  • test(KDP): dummy (4181bb3)
  • test(KDP): dummy commit (2883d79)
  • test(KDP): dummy commit (1f1e35b)
  • test(KDP): empty commit for testing (9b0f386)
  • test(KDP): extending testes for preprocessor module (2e23b3d)
  • refactor(KDP): impreoving auto configuration functionality and UX (7b76a99)
  • refactor(KDP): maintainance on preprocessor to optimize code and refactor (7146afe)
  • refactor(KDP): removing tf-proba dependency (83cb73d)
  • refactor(KDP): splitting custom_layers (f029f77)
  • refactor(KDP): splitting layers into separate files (c188267)
  • refactor(KDP): splitting more tests for layers (84293f0)
  • feat(validation): add day of the month add assertions and error handling (fa88c24)
  • fix: update distribution aware encoder and tests (62f0dba)
  • fix(validation): added unit tests and fixed some small bugs (#12) (3042e2a), closes #12
  • Merge branch 'main' into feat_adding_grvs (147bceb)
  • Merge branch 'main' into feat_dist_aware_embedding_numerical (27dff94)
  • Merge branch 'main' into fix_tab_att_and_transfor (6312d09)
  • Merge branch 'main' into tabular_attention_tests (9491590)
  • Merge branch 'piotrlaczkowski:main' into cutom_preprocess_smart (1d7e48a)
  • Merge branch 'piotrlaczkowski:main' into feat_num_emb (0bf0cc3)
  • Merge branch 'piotrlaczkowski:main' into feat_num_emb (1dd8e83)
  • Merge pull request #1 from piotrlaczkowski/main (609dd5b), closes #1
  • test(validation): added unit tests and fixed a little type mismatch (d0303cb)