NVIDIA/cuml v24.10.00 on GitHub

🚨 Breaking Changes

Fix train_test_split for string columns (#6088) @dantegd
Stop shadowing free function (#6076) @vyasr
Set default values for conftest options. (#6067) @bdice
Add license file to conda packages (#6061) @raydouglass
Fix np.NAN to np.nan. (#6056) @bdice
Reenable pytest cuml-dask for CUDA 12.5 wheel CI tests (#6051) @divyegala
Fix for simplicial_set_embedding (#6043) @viclafargue
MAINT: Allow for error message to contain np.float32(1.0) (#6030) @seberg
Stop exporting fill_k kernel as that causes ODR violations (#6021) @robertmaynard
Avoid cudf column APIs after cudf.Series disallows column inputs (#6019) @mroeschke
Use HDBSCAN package pin to 0.8.38 (#5906) @divyegala

Migrate to use cuVS for vector search (#6085) @benfred
Support all-zeroes feature vectors for MG sparse logistic regression (#6082) @lijinf2
Update update-version.sh to use packaging lib (#6081) @AyodeAwe
Use CI workflow branch 'branch-24.10' again (#6072) @jameslamb
Update fmt (to 11.0.2) and spdlog (to 1.14.1), add those libraries to libcuml conda host dependencies (#6071) @jameslamb
Update flake8 to 7.1.1. (#6070) @bdice
Add support for Python 3.12, update to umap-learn==0.5.6 (#6060) @jameslamb
Fix compiler warning about signed vs unsigned ints (#6053) @hcho3
Update rapidsai/pre-commit-hooks (#6048) @KyleFromNVIDIA
Drop Python 3.9 support (#6040) @jameslamb
Add use_cuda_wheels matrix entry (#6038) @KyleFromNVIDIA
Switch debug build to RelWithDebInfo (#6033) @rongou
Remove NumPy <2 pin (#6031) @seberg
Remove old dask-glm based logistic regression (#6028) @dantegd
[FEA] UMAP API for building with batched NN Descent (#6022) @jinsolp
Enabling CPU/GPU interop for SVM, DBSCAN and KMeans (#6020) @viclafargue
Update pre-commit hooks (#6016) @KyleFromNVIDIA
Improve update-version.sh (#6014) @bdice
Use tool.scikit-build.cmake.version, set scikit-build-core minimum-version (#6012) @jameslamb
Merge branch-24.08 into branch-24.10 (#5981) @jameslamb
Use CUDA math wheels (#5966) @KyleFromNVIDIA