tabmat 4.0.0

4.0.0 - 2024-04-23

Breaking changes:

• To unify the API, :class:DenseMatrix does not inherit from :class:np.ndarray anymore. To convert a :class:DenseMatrix to a :class:np.ndarray, use :meth:DenseMatrix.unpack.
• Similarly, :class:SparseMatrix does not inherit from :class:sps.csc_matrix anymore. To convert a :class:SparseMatrix to a :class:sps.csc_matrix, use :meth:SparseMatrix.unpack.

New features:

• Added column name and term name metadata to :class:MatrixBase objects. These are automatically populated when initializing a :class:MatrixBase from a :class:pandas.DataFrame. In addition, they can be accessed and modified via the :attr:MatrixBase.column_names and :attr:MatrixBase.term_names properties.
• Added a formula interface for creating tabmat matrices from pandas data frames. See :func:tabmat.from_formula for details.
• Added support for missing values in :class:CategoricalMatrix by either creating a separate category for them or treating them as all-zero rows.
• Added support for handling missing categorical values in pandas data frames.

Bug fix:

• Added cython compiler directive legacy_implicit_noexcept = True to fix performance regression with cython 3.

Other changes:

• Refactored the pre-commit hooks to use ruff.
• Refactored :meth:CategoricalMatrix.transpose_matvec to be deterministic when using OpenMP.
• Adjusted transformation to sparse format in :func:tabmat.from_pandas to future changes in pandas.

What's Changed

• Pre-commit autoupdate by @quant-ranger in #351
• Bump pypa/gh-action-pypi-publish from 1.8.11 to 1.8.12 by @dependabot in #352
• Bump pypa/gh-action-pypi-publish from 1.8.12 to 1.8.14 by @dependabot in #353
• Bump pypa/cibuildwheel from 2.16.5 to 2.17.0 by @dependabot in #354
• Pre-commit autoupdate by @quant-ranger in #355
• Set fill value of sparse columns in line with SparseDtype.subtype by @MatthiasSchmidtblaicherQC in #356
• Tabmat v4 alpha by @MartinStancsicsQC in #286

Full Changelog: 3.1.14...4.0.0