v23.10.00

🚨 Breaking Changes

• add sample_weight parameter to dbscan.fit (#5574) @mfoerste4
• Update to Cython 3.0.0 (#5506) @vyasr

🐛 Bug Fixes

• Fix accidental unsafe cupy import (#5613) @dantegd
• Fixes for CPU package (#5599) @dantegd
• Fixes for timeouts in tests (#5598) @dantegd

🚀 New Features

• Enable cuml-cpu nightly (#5585) @dantegd
• add sample_weight parameter to dbscan.fit (#5574) @mfoerste4

🛠️ Improvements

• cuml-cpu notebook, docs and cluster models (#5597) @dantegd
• Pin dask and distributed for 23.10 release (#5592) @galipremsagar
• Add changes for early experimental support for dataframe interchange protocol API (#5591) @dantegd
• [FEA] Support L1 regularization and ElasticNet in MNMG Dask LogisticRegression (#5587) @lijinf2
• Update image names (#5586) @AyodeAwe
• Update to clang 16.0.6. (#5583) @bdice
• Upgrade to Treelite 3.9.1 (#5581) @hcho3
• Update to doxygen 1.9.1. (#5580) @bdice
• [REVIEW] Adding a few of datasets for benchmarking (#5573) @vinaydes
• Allow cuML MNMG estimators to be serialized (#5571) @viclafargue
• [FEA] Support multiple classes in multi-node-multi-gpu logistic regression, from C++, Cython, to Dask Python class (#5565) @lijinf2
• Use copy-pr-bot (#5563) @ajschmidt8
• Unblock CI for branch-23.10 (#5561) @csadorf
• Fix CPU-only build for new FIL (#5559) @hcho3
• [FEA] Support no regularization in MNMG LogisticRegression (#5558) @lijinf2
• Unpin dask and distributed for 23.10 development (#5557) @galipremsagar
• Branch 23.10 merge 23.08 (#5547) @vyasr
• Use Python builtins to prep benchmark tmp_dir (#5537) @jakirkham
• Branch 23.10 merge 23.08 (#5522) @vyasr
• Update to Cython 3.0.0 (#5506) @vyasr