koaning/scikit-lego: Version v0.9.0

• Main Authors: vincent d warmerdam, MBrouns, Francesco Bruzzesi, Stéphane Collot, Robert Kübler, Josko de Boer, pim-hoeven, Arthur Paulino, Peter Verheijen, Maxime Borry, Kay Hoogland, ktiamur, moun, Magdalena Anopsy, Gaurav Sharma, Rens, Cor, Frits Hermans, David Masip, Tomas Borrella, Stephen Anthony Rose, Sander van Dorsten, Jan Keromnes, Gleb Levitski, Carlo Lepelaars, amrrs, Skylar Payne, Stefan Schenk, Thomas Castelijns
• Format: Other/Unknown Material
• Language: unknown
• Published: Zenodo 2024
• Subjects: narwhal*
• Online Access: https://doi.org/10.5281/zenodo.11320940

What's Changed Disclaimer This is a large one, with a lot of improvements , new features and bug fixes ! TL;DR narwhals support for dataframe agnostic codebase numpy 2.0 support cvxpy 1.5 support improvements in scikit-learn intergration New Features ✨ Narwhals for dataframe-agnostic codebase by @FBruzzesi in https://github.com/koaning/scikit-lego/pull/671 This was a very large effort with the help of many to introduce narwhals : #655 by @MarcoGorelli #659 by @anopsy #661 by @MarcoGorelli #665 by @MarcoGorelli #667 by @FBruzzesi #669 by @DeaMariaLeon #670 by @MarcoGorelli numpy 2.0rc support by @FBruzzesi in https://github.com/koaning/scikit-lego/pull/651 Supports of numpy 2.0 for base library (not including cvxpy and umap) Bug fixes ???? cvxpy 1.5.0 support by @FBruzzesi in https://github.com/koaning/scikit-lego/pull/663 <code>ZeroInflatedRegressor</code> fix training indices by @FBruzzesi in https://github.com/koaning/scikit-lego/pull/666 Internals ⚒️ Improving sklearn compatibility via <code>parametrize_with_checks</code> by @FBruzzesi in https://github.com/koaning/scikit-lego/pull/660 Full Changelog : https://github.com/koaning/scikit-lego/compare/v0.8.2.v0.9.0