github rapidsai/cuml v26.06.00
on GitHub

4 hours ago

What's Changed

🚨 Breaking Changes

🐛 Bug Fixes

  • Fixes for CCCL 3.4 update by @dantegd in #7949
  • Set unique CUDA cache path for each pytest-xdist worker by @divyegala in #7948
  • Fix IncrementalPCA: handle missing batch_size_ in sparse transform after partial_fit by @csadorf in #8010
  • Drop __firstlineno__ on ProxyBase instances by @jcrist in #8045
  • Fix KMeans int32 index overflow check by @csadorf in #8067
  • Add early validation for n_clusters > n_samples in dask KMeans by @csadorf in #8071
  • Fix CI by changing SVC intercept selection kernel dispatch by @dantegd in #8077
  • Fix FIL buffer bounds assertions by @csadorf in #8069
  • Fix KMeans score test tolerances by @csadorf in #8099
  • Add vertex-parallel kernels to UMAP to enforce sequential behavior by @jinsolp in #7974
  • Fix wrapping metaestimators in Pipeline in cuml.accel by @jcrist in #8115

📖 Documentation

🚀 New Features

🛠️ Improvements

  • Remove PoolMemoryResource wrapper by @jcrist in #7878
  • fix more verify-hardcoded-version findings by @jameslamb in #7891
  • Forward-merge release/26.04 into main by @csadorf in #7888
  • Forward-merge release/26.04 into main by @csadorf in #7894
  • Forward merge from release/26.04 by @jcrist in #7910
  • Update CODEOWNERS by @jcrist in #7919
  • Forward-merge release/26.04 into main by @gforsyth in #7914
  • Forward merge release/26.04 into main by @jcrist in #7936
  • Forward-merge release/26.04 into main by @jameslamb in #7937
  • Remove deprecations from 26.04 by @jcrist in #7928
  • update pip devcontainers' base image tags by @trxcllnt in #7947
  • chore: bump codespell version for Python 3.14+ compatibility by @gforsyth in #7925
  • Restart xdist workers on corrupted CUDA context by @jcrist in #7954
  • chore: remove comment in devcontainer.json that breaks jq by @gforsyth in #7952
  • A few linear model test cleanups by @jcrist in #7957
  • Support recent hdbscan by @jcrist in #7956
  • Re-enabling precomputed kNN on host for UMAP by @viclafargue in #7915
  • Add -v option to timeout in CI scripts by @jcrist in #7966
  • Mark a few cuml-accel upstream tests as flaky by @jcrist in #7967
  • Update to clang 20.1.8 by @bdice in #7968
  • Run all scikit-learn examples under cuml.accel in nightlies by @csadorf in #7960
  • xfail ARIMA test on 'endog_hourly_earnings_by_industry_missing_exog' dataset by @jameslamb in #7972
  • New input validation utilities by @jcrist in #7973
  • Improve timeout verbosity and graceful shutdown for pytest CI jobs by @csadorf in #7979
  • Use new input validation in cuml.linear_models/cuml.solvers by @jcrist in #7978
  • Apply new validation to cuml.cluster by @jcrist in #7984
  • Apply new validation to cuml.random_projection by @jcrist in #8009
  • Use new input validation infrastructure for cuml.decomposition. by @csadorf in #8006
  • Apply new input validation to cuml.multiclass by @mgrauer in #8017
  • Deprecate max_depth=16 in RandomForest and add None support by @Nzouh in #7958
  • Migrate _classification and _ranking metrics to new input validation infrastructure by @csadorf in #8012
  • CI Fix cuml.svm compatibility with scikit-learn 1.9 deprecation of probability= by @betatim in #7981
  • Use scikit-learn's array-api to accelerate StandardScaler by @jcrist in #8020
  • Apply new input validation to cuml.kernel_ridge by @jcrist in #8007
  • Apply new validation to cuml.covariance by @jcrist in #8008
  • [FIL] Validate Treelite model input to prevent integer overflow and OOB memory access by @hcho3 in #8016
  • Cleanup Lars, apply new validation by @jcrist in #8024
  • Add MinMaxScaler, MaxAbsScaler, and PolynomialFeatures to cuml.accel by @jcrist in #8032
  • Several ensemble scikit-learn compatibility improvements by @jcrist in #8023
  • Remove inertia_check Param from KMeans by @tarang-jain in #8033
  • Fix sample_weight handling in KernelRidge by @jcrist in #8040
  • Apply new validation to cuml.svm by @jcrist in #8029
  • Support subclassing proxy estimators by @jcrist in #8041
  • fix(ci): resolve all zizmor findings and add zizmor pre-commit checks by @gforsyth in #8046
  • Add check_cudf, and a few other validation changes by @jcrist in #8038
  • Fix labeler config by @jcrist in #8047
  • Apply new validation to cuml.explainer by @jcrist in #8043
  • Apply new validation to metrics.pairwise_kernels by @csadorf in #8050
  • Apply new validation to cuml.neighbors by @viclafargue in #8019
  • Apply new input validation to metrics.regression by @csadorf in #8044
  • Ensure output of classifier predict has aligned index by @jcrist in #8056
  • Fix explainer hypothesis test by @jcrist in #8054
  • Apply new validation to metrics.confusion_matrix by @csadorf in #8049
  • Apply new validation to metrics.kl_divergence by @csadorf in #8057
  • Use token.rapids.nvidia.com when issuing S3 bucket creds in devcontainers by @trxcllnt in #8036
  • Apply new input validation to cuml.metrics.cluster by @csadorf in #8059
  • Apply new validation to cuml.manifold by @jinsolp in #8042
  • Cleanup and apply new validation to cuml._thirdparty and cuml.preprocessing by @jcrist in #8052
  • Apply new validation to metrics.pairwise_distances by @csadorf in #8065
  • Apply new input validation to metrics.trustworthiness by @csadorf in #8058
  • A few validation fixups by @jcrist in #8066
  • Use cudaStream_t instead of cuda_stream_view in cuml Cython by @vyasr in #8072
  • Fix failing IncrementalPCA test by @jcrist in #8080
  • Fallback on ensure_all_finite in UMAP on cuml.accel by @jcrist in #8076
  • Cleanup TargetEncoder by @jcrist in #8075
  • Use static cudart by @KyleFromNVIDIA in #8078
  • Build and test with CUDA 13.2.0 by @bdice in #8081
  • Support umap-learn 0.5.12 by @csadorf in #8073
  • fix(ci): add explicit actions: write permission for telemetry-summarize
    by @gforsyth in #8088
  • ci: add informational PR release target validation by @csadorf in #8083
  • A few cudf fixups by @jcrist in #8105
  • Require CMake 4.0 by @KyleFromNVIDIA in #8096
  • Mark upstream umap test as flaky by @jcrist in #8107
  • Update libcuml wheel to depend on librmm by @jcrist in #8110
  • Numpy 1.x compatibility fixes by @jcrist in #8118
  • loosen threshold in test_mbsgd_regressor test by @jameslamb in #8122
  • xfail test_onnx[RandomForestClassifier] by @jcrist in #8127
  • Mark test_precomputed_sparse_transform_on_iris as flaky by @jcrist in #8130
  • A few fixes for sklearn 1.9 pre-release by @jcrist in #8126
  • Cleanup LabelBinarizer by @jcrist in #8101
  • Further relax test_nearest_neighbors_pickle tolerance by @jcrist in #8136
  • Add cuml.accel support for IncrementalPCA by @JohnZed in #7785
  • Add "Advanced Topics" doc by @jcrist in #8134
  • Avoid deprecated functionality in cupy 14.1 by @jcrist in #8148
  • Fix BERTopic integration tests by @jcrist in #8167
  • Refactor kernel_density to use less memory by @Intron7 in #7833
  • skip CuPy 14.1.0 by @jameslamb in #8179
  • Xfail sklearn example requiring plotly by @csadorf in #8193
  • Fixes for sklearn 1.9 release by @jcrist in #8208
  • Handle sklearn example OpenML network failures by @csadorf in #8205
  • Handle sklearn example OpenML dataset lookup failures by @csadorf in #8216

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