rapidsai/cuml v25.10.00

on GitHub

🚨 Breaking Changes

• Deprecate convert_to_* methods in favor of as_* methods in cuml.ensemble (#7254) @jcrist
• KernelDensity.score_samples output type & dtype fixes (#7240) @jcrist
• Remove get_json/get_detailed_text/get_summary_text from ensemble estimators (#7177) @jcrist
• Deprecate accuracy_metric (#7170) @jcrist
• Deprecate predict_model in cuml.ensemble/cuml.dask.ensemble (#7155) @jcrist
• Remove deprecated cuml.accel CLI options (#7110) @jcrist
• Remove deprecation warnings in 25.10 (#7109) @jcrist
• Remove deprecation warning and data_on_host option for UMAP (#7099) @jinsolp
• Fix UMAP graph thresholding (#6595) @viclafargue

🐛 Bug Fixes

• Set NCCL rpath for cu13 wheels (#7304) @divyegala
• Add NCCL library path to CMakeLists.txt for libcuml (#7281) @csadorf
• Ensure finite values passed to SpectralEmbedding (#7280) @jcrist
• Ensure sklearn roundtrip attribute consistency (#7278) @jcrist
• Fix SpectralEmbedding precomputed option with 0% sparsity (#7271) @aamijar
• Fix test reference object in test_onehot_inverse_transform_handle_unknown (#7246) @mroeschke
• Slightly increase tolerance in ridge regression test. (#7243) @csadorf
• Increase rtol for float32 in test_complement_partial_fit to reduce intermittent failures (#7237) @csadorf
• Conditionally xfail test_umap_fit_transform_score for nrows=500. (#7232) @csadorf
• Fixup StandardScaler.n_samples_seen_ (#7209) @jcrist
• Validate sample_weight in KernelDensity.fit (#7208) @jcrist
• Support non-contiguous input in input_to_host_array (#7207) @jcrist
• Set correct min_samples for HDBSCAN single_linkage (#7195) @tarang-jain
• Raise Proper Exception when HDBSCAN min_samples > number of samples (#7193) @tarang-jain
• Remove docs/handling of solver="cd" in Ridge (#7190) @jcrist
• Error nicely in KMeans if n_samples < n_clusters (#7189) @jcrist
• Further increase tolerance in test_random_seed_consistency. (#7180) @csadorf
• Use custom plugin to download test data early (#7169) @betatim
• Fix UMAP outlier issue by checking for outliers and shuffling (#7131) @jinsolp
• Note non-determinism in random projection transforms (#7129) @jcrist
• Rewrite random projection estimators (#7119) @jcrist
• Prevent CUDA issues when running UMAP with scikit-learn compatibility test suite (#7107) @viclafargue
• Fix accel profiler 2x count of some fallback methods (#7101) @jcrist
• Don't call to_output on a cupy array (#7044) @Matt711
• Add fix for devices that do not have memory resources (#6823) @viclafargue
• Fix UMAP graph thresholding (#6595) @viclafargue

📖 Documentation

• Add warning on subprocesses in cuml.accel profilers (#7290) @jcrist
• Revise the cuML docs for 25.10 (#7228) @csadorf
• Provide GitHub issue template to report CI failures. (#7178) @csadorf
• Fix cuml-accel docs redirects (#7139) @jcrist

🚀 New Features

• Update cufft defines to CUDA 13 types (#7094) @robertmaynard

🛠️ Improvements

• Fix missed deps in update-version.sh (#7285) @AyodeAwe
• Empty commit to trigger a build (#7264) @msarahan
• Enforce correct dependencies on cuVS (#7261) @divyegala
• CI Hardcode list of words to test porter stemmer with (#7258) @betatim
• Deprecate convert_to_* methods in favor of as_* methods in cuml.ensemble (#7254) @jcrist
• Revert "Extend nightlies breakage window (#7137)" (#7251) @csadorf
• Cleanup cuml.ensemble (#7249) @jcrist
• KernelDensity.score_samples output type & dtype fixes (#7240) @jcrist
• Add test for adjusted_rand_score with small inputs (#7235) @jcrist
• Use except + everywhere in cython (#7234) @jcrist
• Use rapids-xgboost and exclude libnccl from auditwheel check (#7231) @jcrist
• Add cuml.metrics.median_absolute_error (#7229) @jcrist
• Configure repo for automatic release notes generation (#7226) @AyodeAwe
• Accelerate KernelDensity.score_samples (#7219) @jcrist
• Update FIL doc to remove deprecated parameter (#7215) @hcho3
• use new cumlprims_mg repo (#7213) @jameslamb
• update nvidia-ml-py (>=12), use cuda-toolkit wheels (#7212) @jameslamb
• Expose some private attrs in cuml.accel (#7197) @jcrist
• Cleanup KMeans python layer (#7196) @jcrist
• Don't use deprecated method in StratifiedKFold (#7188) @jcrist
• DOC fix table formatting for SHAP (#7186) @sotagg
• Use branch-25.10 again (#7182) @jameslamb
• Small cleanup to cuml.dask.metrics.confusion_matrix (#7181) @jcrist
• Remove get_json/get_detailed_text/get_summary_text from ensemble estimators (#7177) @jcrist
• Move cert configuration to pytest_configure hook (#7175) @jcrist
• Remove baked in datasets from preloading plugin (#7173) @betatim
• Optimize import times a bit (#7171) @jcrist
• Deprecate accuracy_metric (#7170) @jcrist
• use 'nvidia-ml-py' instead of 'pynvml', declare 'numba-cuda' dependency pins (#7164) @jameslamb
• Deprecate predict_model in cuml.ensemble/cuml.dask.ensemble (#7155) @jcrist
• Remove deprecated cupyx.scatter_add/cupyx.scatter_max calls (#7149) @jcrist
• Fix HTML representation's fitted status (#7146) @betatim
• Replace raft calls with cuvs in DBSCAN (#7144) @aamijar
• Expose TSNE.n_iter_ fitted attribute (#7142) @jcrist
• Update rapids-dependency-file-generator (#7141) @KyleFromNVIDIA
• n_streams=1 is not required for determinism in cuml.ensemble (#7140) @jcrist
• Extend nightlies breakage window (#7137) @jcrist
• Add DBSCAN to the common tests (#7134) @betatim
• Remove UCX-Py (#7130) @pentschev
• Build and test with CUDA 13.0.0 (#7128) @jameslamb
• Nicer error message for not implemented fitted attributes in cuml.accel (#7127) @jcrist
• Use gammainc from cupyx (#7126) @jcrist
• Support kneighbors_graph for approximate algos (#7125) @jcrist
• update gputreeshap (#7121) @jameslamb
• Spectral Embedding argument affinity={"precomputed", "nearest_neighbors"} (#7117) @aamijar
• Increase wheel size cap to 525M account for newer architectures (#7116) @divyegala
• Redo memory management for NearestNeighbors (#7115) @jcrist
• FIX Make GaussianNB more resilient (#7113) @betatim
• Remove deprecated cuml.accel CLI options (#7110) @jcrist
• Remove deprecation warnings in 25.10 (#7109) @jcrist
• A few fixes to the profiler IPython magics (#7108) @jcrist
• Use build cluster in devcontainers (#7106) @trxcllnt
• Use rapids_cuda_enable_fatbin_compression (#7105) @robertmaynard
• Forward-merge branch-25.08 into branch-25.10 (#7103) @jcrist
• Remove deprecation warning and data_on_host option for UMAP (#7099) @jinsolp
• Update rapids_config to handle user defined branch name (#7098) @robertmaynard
• Add some devtools to all_* environments (#7091) @jcrist
• Configure --import-mode in pyproject.toml (#7090) @jcrist
• Support SpectralEmbedding in cuml.accel (#7087) @aamijar
• Update rapids-build-backend to 0.4.1 (#7085) @KyleFromNVIDIA
• Update HDBSCAN prediction utils to use raft::linalg::map_offset (#7075) @tarang-jain
• Improved UMAP testing and debugging (#7073) @viclafargue
• Add more estimators to the compatibility test suite (#7069) @betatim
• UMAP with new Spectral Embedding initialization (#7063) @aamijar
• Remove duplicated cuml.accel install code (#7062) @betatim
• cuml RAPIDS dependency now use the new rapids-cmake branch info (#7051) @robertmaynard
• Fix input utils test case (#7050) @emmanuel-ferdman
• Propagate cuml.accel to subprocesses (#7047) @jcrist
• Support enabling cuml.accel with env var (#7046) @jcrist
• Add basic infrastructure for common tests (#7038) @betatim
• Allow latest OS in devcontainers (#7036) @bdice
• Update build infra to support new branching strategy (#7027) @robertmaynard
• Adding appropriate casting for a more generic IdxT usage in HDBSCAN (#7023) @jinsolp
• Build libcuml wheel with static libcuvs (#6959) @hcho3
• Use GCC 14 in conda builds. (#6918) @vyasr
• Add capability to use different allocators in cuML Python benchmarks (#6903) @dantegd
• Reorganize tests and modify pytest invocation to support pytest 8 (#6876) @vyasr