0.3.0

What's Changed

• Updated dependencies:
  • Added missing attributes in OnlineTfidfVectorizer.init: Stored norm, smooth_idf, sublinear_tf, and use_idf as instance attributes so sklearn's get_params() works.
  • Updated method calls: Changed get_feature_names() to get_feature_names_out() in MatrixRegression to match the current sklearn API.
  • Fixed TfidfTransformer fitting: In update_idf(), set self.tfidf.idf instead of idf, and updated the idf property to return it directly. This ensures sklearn recognizes the transformer as fitted.
• Introduced uv, ruff, cicd and more repo organisational changes

Full Changelog: v0.1.1...v0.3.0

Small fixes

v0.1.1

Fixed setup version

First release

First release