rapidsai/cuml v23.12.00 on GitHub

🚨 Breaking Changes

Update actions/labeler to v4 (#5686) @raydouglass
updated docs around make_column_transformer change from .preprocessing to .compose (#5680) @taureandyernv
Skip dask pytest NN hang in CUDA 11.4 CI (#5665) @dantegd
Avoid hard import of sklearn in base module. (#5663) @csadorf
CI: Pin clang-tidy to 15.0.7. (#5661) @csadorf
Adjust assumption regarding valid cudf.Series dimensional input. (#5654) @csadorf
Flatten cupy array before feeding to cudf.Series (#5651) @vyasr
CI: Fix expected ValueError and dask-glm incompatibility (#5644) @csadorf
Use drop_duplicates instead of unique for cudf's pandas compatibility mode (#5639) @vyasr
Temporarily avoid pydata-sphinx-theme version 0.14.2. (#5629) @csadorf
Fix type hint in split function. (#5625) @trivialfis
Fix trying to get pointer to None in svm/linear.pyx (#5615) @yosider
Reduce parallelism to avoid OOMs in wheel tests (#5611) @vyasr

Build concurrency for nightly and merge triggers (#5658) @bdice
[LogisticRegressionMG][FEA] Support training when dataset contains only one class (#5655) @lijinf2
Use new rapids-dask-dependency metapackage for managing dask versions (#5649) @galipremsagar
Simplify some logic in LabelEncoder (#5648) @vyasr
Increase Nanny close timeout in LocalCUDACluster tests (#5636) @pentschev
[LogisticRegressionMG] Support sparse vectors (#5632) @lijinf2
Add rich HTML representation to estimators (#5630) @betatim
Unpin dask and distributed for 23.12 development (#5627) @galipremsagar
Update shared-action-workflows references (#5621) @AyodeAwe
Use branch-23.12 workflows. (#5618) @bdice
Update rapids-cmake functions to non-deprecated signatures (#5616) @robertmaynard
Allow nightly dependencies and set up consistent nightly versions for conda and pip packages (#5607) @vyasr
Forward-merge branch-23.10 to branch-23.12 (#5596) @bdice
Build CUDA 12.0 ARM conda packages. (#5595) @bdice
Enable multiclass svm for sparse input (#5588) @mfoerste4