[NIGHTLY] v25.12.00

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Don't infer dtype from model in cuml.explainer (#7358) @jcrist
• Cleanup LinearRegression (#7355) @jcrist
• UMAP - delay embedding allocation (#7313) @viclafargue
• Make dask an optional dependency (#7303) @jcrist
• Using int64_t for HDBSCAN and dropping int (#7104) @jinsolp

🐛 Bug Fixes

• Revert "CI: Auto-assign priority to PRs from linked issues (#7354)" (#7357) @csadorf
• Make conversion from scikit-learn SVM to cuML more robust (#7324) @csadorf
• Avoid pyyaml runtime dependency. (#7312) @csadorf
• Adding checks for UMAP precomputed KNN feature (#7300) @viclafargue

📖 Documentation

• Add Spectral Embedding algorithm to README.md (#7348) @aamijar

🚀 New Features

• Provide a static target for libcuml (#7351) @divyegala

🛠️ Improvements

• Don't infer dtype from model in cuml.explainer (#7358) @jcrist
• Cleanup LinearRegression (#7355) @jcrist
• CI: Auto-assign priority to PRs from linked issues (#7354) @csadorf
• Add xgboost to benchmark utilities (#7350) @dantegd
• Remove outdated link flags from CMakeLists.txt (#7349) @hcho3
• Cleanup SVM (#7347) @jcrist
• Enable sccache-dist connection pool (#7344) @trxcllnt
• Add libcuml linkage smoke test (#7343) @divyegala
• Use pinned_host_memory_resource instead of pinned_memory_resource. (#7340) @bdice
• Remove cuml.ensemble/cuml.dask.ensemble deprecated features (#7332) @jcrist
• Cleanup Ridge (#7330) @jcrist
• Accelerate linear model predict on C-ordered inputs (#7329) @jcrist
• Cleanup *.pxd files and cimports (#7327) @jcrist
• Release GIL in SpectralEmbedding (#7326) @jcrist
• Cleanup DBSCAN (#7325) @jcrist
• Reduce warnings verbosity in tests (#7322) @csadorf
• Fix flaky test_logistic_regression_weighting test (#7321) @csadorf
• A few cuml.neighbors cleanups (#7320) @jcrist
• A few HDBSCAN cleanups (#7319) @jcrist
• Cleanup cuml.decomposition (#7316) @jcrist
• Run the scikit-learn test suite in parallel again (#7315) @csadorf
• UMAP - delay embedding allocation (#7313) @viclafargue
• Cleanup TSNE python implementation (#7311) @jcrist
• Propagate Dask/UCX exceptions (#7308) @viclafargue
• Add SparseRandomProjection, AgglomerativeClustering and GaussianRandomProjection to common checks (#7307) @betatim
• Make dask an optional dependency (#7303) @jcrist
• Update to rapids-logger 0.2 (#7301) @bdice
• Branch 25.12 merge branch 25.10 (#7291) @jcrist
• Avoid usage of deprecated cudf from_pandas (#7284) @TomAugspurger
• Update RAPIDS_BRANCH, codify changes in update-version.sh (#7268) @KyleFromNVIDIA
• Using int64_t for HDBSCAN and dropping int (#7104) @jinsolp