rapidsai/cuml v26.04.00

on GitHub

What's Changed

🚨 Breaking Changes

• FIX Raise TypeError when sparse input is not supported by @betatim in #7728
• Add cuml.internals.validation, check_is_fitted checks by @jcrist in #7868
• Add support for feature_names_in_ by @jcrist in #7877
• Validate that X is 2 dimensional by @jcrist in #7889

🐛 Bug Fixes

• CI Fix tests to be compatible with new stricter cudf dtype handling by @betatim in #7762
• Replace cudf.Series.values_host with .to_numpy(). by @csadorf in #7772
• Mark two tests as flaky by @csadorf in #7787
• Mark test test_spectral_clustering_output_shape_type_and_label_count as xfail by @csadorf in #7791
• Add nvjitlink to cuda-toolkit pip extras for cusparse compatibility by @bdice in #7794
• Fix cupy-14 compatibility by @aamijar in #7814
• Fix -Wsign-compare warning in UMAP by @aamijar in #7803
• Fix thrust header by @aamijar in #7817
• Xfail some of the one hot encoder dask test. by @csadorf in #7828
• Fix Dask KMeans performance regression by @viclafargue in #7819
• Disable codecov reports by @csadorf in #7852
• Prevent unprefetchable allocation in SVM by @viclafargue in #7859
• Fix UMAP inverse_transform OOH error by @viclafargue in #7863
• Fix AttributeError when CumlArray index is a pandas RangeIndex by @viclafargue in #7865
• Avoid pickling lambda in dask LabelBinarizer pytests by @aamijar in #7898
• Fix OOM in Dask KMeans by collecting only one model after fit by @viclafargue in #7908
• Fix Dask estimators crashing when workers receive empty partitions by @viclafargue in #7807
• xfail test_umap_outliers by @jinsolp in #7938

📖 Documentation

• Fix documentation for in-notebook cuml.accel activation. by @csadorf in #7767
• [DOC] Add missing parameters to UMAP and NearestNeighbors docstrings by @silasmue in #7632
• docs updates for new RAPIDS branching strategy by @jameslamb in #7795
• DOC Restructure API documentation by @betatim in #7798
• Remove deprecated tree_method=gpu_hist with XGBoost by @hcho3 in #7858

🚀 New Features

• Add cuml.accel support for StandardScaler by @csadorf in #7766
• Add NearestNeighbors.radius_neighbors_graph by @jcrist in #7811
• Implement health checks. by @csadorf in #7854
• SpectralClustering in cuml.accel by @aamijar in #7804

🛠️ Improvements

• Fix int64 Spectral Embedding by @aamijar in #7689
• Replace thrust::tuple with cuda::std::tuple by @miscco in #7700
• CI: Standardize nightly dependencies testing by @csadorf in #7684
• Expand and improve xfail list management tooling by @csadorf in #7607
• CI: Make the cudf-pandas-integration job non-optional by @csadorf in #7704
• CI: Make the nightly dependency tests pass by @csadorf in #7703
• Add optional thread-safety guard for OpenBLAS/OpenMP on high-core systems by @dantegd in #7688
• More std::tuple fixes by @vyasr in #7707
• CI: Test CuPy nightlies by @csadorf in #7695
• Forward-merge release/26.02 into main by @csadorf in #7720
• Ignore warnings caused by sklearn/scipy incompatibility. by @csadorf in #7735
• Bump the ipython test dependencies. by @csadorf in #7737
• Drop Python 3.10 support by @gforsyth in #7731
• tighten wheel size limits, expand CI-skipping logic, other small build changes by @jameslamb in #7738
• Remove numba-cuda upper bound by @brandon-b-miller in #7706
• remove pip.conf migration code in CI scripts, update CI-skipping rules by @jameslamb in #7747
• Use verify-hardcoded-version pre-commit hook by @KyleFromNVIDIA in #7726
• Add instructions for CodeRabbit by @csadorf in #7725
• CI Use ipython 7.34.0 in "oldest" version CI by @betatim in #7743
• Remove deprecations from 26.02 by @jcrist in #7761
• Remove deprecated handle argument by @jcrist in #7751
• CI Switch to strict xfail policy for common estimator checks by @betatim in #7753
• CI Update xfail list by @betatim in #7768
• refactor: build wheels and conda packages using Python limited API by @gforsyth in #7758
• Partially revert #7715. by @csadorf in #7773
• remove gitutils by @jameslamb in #7784
• Use GHA id-token for sccache-dist auth token by @trxcllnt in #7790
• FIX Raise explicit exception for input with complex dtype by @betatim in #7729
• Add option to force serial behavior in UMAP optimize to avoid outliers by @jinsolp in #7793
• UMAP hypothesis testing by @viclafargue in #7323
• Update raft headers by @aamijar in #7752
• Remove raft math.cuh and matrix.cuh by @aamijar in #7797
• Replace uses of thrust::transform_iterator with cuda::transform_iterator by @miscco in #7808
• check-nightly-ci: update to new version by @jameslamb in #7810
• check-nightly-ci: remove testing config by @jameslamb in #7818
• Remove some dead code by @jcrist in #7825
• Drop thrust/functional it is almost not used at all by @miscco in #7823
• Add warning about the use of pickle for model deserialization to README. by @csadorf in #7829
• CI Fix testing references to take into account string dtype by @betatim in #7830
• DOC Add basic tests for ONNX support by @betatim in #7805
• refactor(limited api): add explicit wheel.py-api to pyproject.toml
  by @gforsyth in #7832
• Remove workaround for old cupy.percentile bug by @wphicks in #7789
• Update Cython lower bound pin to 3.2.2 by @vyasr in #7836
• Optimize data transfer for Pipeline in cuml.accel by @jcrist in #7835
• Allow using cuML benchmark tools on systems without cuML installed by @dantegd in #7593
• Fix integer overflow in FIL by @hcho3 in #7727
• Relax UMAP version constraint by @csadorf in #7850
• cuml.accel's pth needs to go after the numba_cuda one by @betatim in #7872
• Use PrefetchResourceAdaptor in cuml.accel by @jcrist in #7834
• Add support for Python 3.14 by @gforsyth in #7831
• Add check_features by @jcrist in #7874
• fix verify-hardcoded-version issues by @jameslamb in #7882
• Cherry-pick "Remove PoolMemoryResource wrapper" into release by @jcrist in #7881
• Update Treelite to 4.7.0 by @hcho3 in #7870
• Remove deprecation warning in TargetEncoder by @jcrist in #7892
• Remove xfailed cudf pandas tests by @jcrist in #7901
• Cap numba-cuda upper bound at <0.29.0 by @brandon-b-miller in #7900
• Remove no_bad_cuml_array_check by @csadorf in #7887
• Bump scipy minimum required version to 1.14.0. by @csadorf in #7857
• fix(devcontainers): build with Python 3.13 while dependencies are unavailable by @gforsyth in #7916
• build wheels with CUDA 13.0.x, test wheels against mix of CTK versions by @jameslamb in #7907
• Fix CDMG xfails for numpy 2.4 by @jcrist in #7918
• Use PCA and TSVD from raft by @aamijar in #7802
• ci: preserve Release project field also on release/* PRs by @csadorf in #7921
• Small update to cuml-accel limitations by @jcrist in #7929
• Pin openblas on aarch64 by @jcrist in #7933
• Disable SciPy intersphinx by @jcrist in #7935
• Support unlimited_depth for the random forest estimators by @csadorf in #7895

New Contributors

• @silasmue made their first contribution in #7632

Full Changelog: v26.04.00a...v26.04.00