v25.06.00

🚨 Breaking Changes

• Deprecate device selection (#6784) @jcrist
• Remove use of legacy FIL from Python cuML (#6728) @hcho3
• Use RBC from cuVS (#6644) @divyegala
• Map Barnes-Hut to FFT for T-SNE in cuml.accel. (#6619) @csadorf
• New Estimator Proxy architecture (#6613) @jcrist
• Disable building and uploading cuml-cpu in CI (#6529) @dantegd
• FIX Propagate random state to numpy rng in make_classification (#6518) @betatim

🐛 Bug Fixes

• UMAP batch nnd test hotfix (#6826) @jinsolp
• Update forest_inference_demo.ipynb for new FIL API changes (#6824) @dantegd
• Fix to compile FIL infer_kernel with CUDA arch 1210 (#6821) @viclafargue
• Reduce solver test threshold for ElasticNet test. (#6766) @csadorf
• Use _assert_allclose function for approximate equality check. (#6763) @csadorf
• UMAP spectral initialization fallback to random on error (#6750) @aamijar
• [Fix] include_self=False for duplicate points (tied zero distances) in kneighbors_graph (#6735) @aamijar
• FIX: Set scikit-learn KMeans n_init=10 to match cuML (#6727) @csadorf
• Fix output dtype of LinearSVC.predict (#6715) @jcrist
• CUDA 12.9 Correctly bound updated compression flags (#6713) @robertmaynard
• Fix type and support for PCA.noise_variance_ (#6693) @jcrist
• Update dask RF regressor partial_inference (#6691) @TomAugspurger
• Properly handle degenerate trees in FIL (#6673) @hcho3
• Fix strict marker in scikit-learn test xfail list. (#6661) @csadorf
• DOC Repair docstring formatting (#6659) @betatim
• Fix the field ids in the pr/issue status automation (#6656) @csadorf
• Adjust scikit-learn test failure handling (#6646) @csadorf
• Remove arbitrary score threshold for the test_qn test with softmax (#6636) @csadorf
• Do not set n_features_in_ attribute before fit (#6624) @betatim
• Map Barnes-Hut to FFT for T-SNE in cuml.accel. (#6619) @csadorf
• Mark sklearn test test_cross_val_predict[coo_array] as flaky. (#6610) @csadorf
• Do not run the scikit-learn test suite in parallel. (#6609) @csadorf
• Mark one kmeans and one t_sne sklearn test as flaky (#6598) @csadorf
• Relax threshold for failing ARIMA pytest (#6579) @divyegala
• Fix race condition in _block_gemv kernel (#6578) @divyegala
• Fix launch parameters for kernel shap (#6577) @divyegala
• Update SVC tests for CCCL update (#6569) @viclafargue
• Update FIL Model Loading Parameter in FIL demo notebook (#6562) @csadorf
• Localise output‑dtype; remove global set_api_output_dtype calls (#6561) @Ofek-Haim
• Lower logistic regression digits test threshold to 0.9. (#6552) @csadorf
• FIX Propagate random state to numpy rng in make_classification (#6518) @betatim
• Fix cudf.DataFrame construction with dict like inputs and ensure CumlArray.to_output('cudf') does not convert NaN to NA (#6517) @mroeschke
• Calling gc in SVC tests (#6514) @viclafargue
• Fix logger macros (#6511) @vyasr
• Simplicial set functions fixes and cleanups (#6493) @viclafargue
• Inspect KNN graph during smooth KNN generation and fail if necessary (#6491) @viclafargue
• More permanently disable BATCH_TREE_REORG (#6374) @wphicks

📖 Documentation

• Move FIL docs to user docs (#6762) @dantegd
• Document cuml.accel doesn't support set_output (#6717) @jcrist
• DOC Update zero-code-change documentation (#6697) @csadorf
• Document WSL2 limitation re UVM (#6663) @csadorf
• DOC Make MultinomialNB dask doctest more lax (#6482) @betatim
• Future-proof SVC documentation (#6481) @viclafargue
• DOC Add developer documentation about deprecation policy (#6476) @betatim

🚀 New Features

• Multi-gpu KNN build for UMAP using all-neighbors API (#6654) @jinsolp
• Add caching and object size metrics to conda CI builds (#6573) @divyegala
• Use Gram kernel from cuVS instead of Raft (#6538) @lowener

🛠️ Improvements

• Migrate cuml.experimental.fil -> cuml.fil (#6799) @hcho3
• Mark test_uniform_grid as flaky in sklearn tests (#6791) @jcrist
• Deprecate a few missed cuml-only non-keyword-only kwargs (#6789) @jcrist
• Delay importing of dask (#6788) @jcrist
• Port DBSCAN to ProxyBase/InteropMixin (#6786) @jcrist
• Deprecate device selection (#6784) @jcrist
• use 'rapids-init-pip' in wheel CI, other CI changes (#6779) @jameslamb
• Support SVC and SVR in cuml.accel (#6778) @jcrist
• chore: reduce ceiling of cuml wheel size (#6771) @gforsyth
• Port KMeans to use ProxyBase/InteropMixin (#6770) @jcrist
• Port sklearn.manifold wrappers to use ProxyBase (#6761) @jcrist
• Fix dask warning in FIL demo notebook (#6758) @jcrist
• Remove deprecations for 25.06 (#6754) @jcrist
• Check that as_sklearn'ed models can be fitted (#6751) @betatim
• Implement sklearn_tags on mixin using vendored compat module. (#6746) @csadorf
• Test that proxied method signatures match their CPU versions (#6740) @jcrist
• Remove upper bound constraint on xgboost. (#6739) @csadorf
• Deprecate non-keyword-only cuml-only kwargs (#6738) @jcrist
• Fix DistributedDataHandler.calculate_parts_to_sizes (#6737) @TomAugspurger
• Finish CUDA 12.9 migration and use branch-25.06 workflows (#6733) @bdice
• Remove use of legacy FIL from Python cuML (#6728) @hcho3
• Update Dask RandomForest classifier (#6726) @TomAugspurger
• Update to clang 20 (#6724) @bdice
• Use matplotlib-base in docs/notebooks environments. (#6723) @bdice
• FIX Allow prereleases when evaluating xfail conditions (#6722) @betatim
• Quote head_rev in conda recipes (#6701) @bdice
• Don't setup managed memory if rmm isn't using default settings (#6700) @jcrist
• Expand sklearn matrix used in tests (#6698) @jcrist
• Port sklearn.decomposition to new proxy estimator structure (#6695) @jcrist
• fix(rattler): add librmm to host for libcuml to fix overlinking error (#6686) @gforsyth
• CUDA 12.9 use updated compression flags (#6684) @robertmaynard
• Increase scikit-learn compatibility to 1.5+ (#6666) @csadorf
• Revert "CI: Increase nightly CI check window to 14 days. (#6628)" (#6660) @csadorf
• Remove cuml-cpu and CPU <> GPU docs (#6651) @jcrist
• More dask==2025.4.1 compatibility (#6645) @TomAugspurger
• Use RBC from cuVS (#6644) @divyegala
• Exclude librmm.so from auditwheel (#6632) @bdice
• Enhance accelerator parity testing framework (#6629) @csadorf
• CI: Increase nightly CI check window to 14 days. (#6628) @csadorf
• Add support for Python 3.13 (#6616) @gforsyth
• Compatibility with Dask 2025.4.1 (#6614) @TomAugspurger
• New Estimator Proxy architecture (#6613) @jcrist
• Using cuVS NN Descent in UMAP (#6611) @jinsolp
• Make scikit-learn a required dependency (#6608) @betatim
• Speedup dask LogisticRegression tests (#6607) @jcrist
• Add GitHub Actions workflow for PR and issue project field automation (#6602) @csadorf
• Use nogil for libcuml calls (#6601) @jcrist
• Remove cuml.common.cuda (#6600) @jcrist
• Remove most of import_utils.py (#6599) @jcrist
• Remove guarded imports of scipy (#6596) @jcrist
• Remove remainder of code branching on cuml-cpu support (#6593) @jcrist
• Add timeout to scikit-learn test suite (#6591) @jcrist
• Remove safe_imports.py (#6588) @jcrist
• Remove usage of cudf.core.buffer (#6586) @mroeschke
• Split wheel tests into two jobs (#6585) @jcrist
• Only run one cudf.pandas enabled build per PR (#6584) @jcrist
• Don't run memleak tests in CI (#6583) @jcrist
• Documentation and Testing Infrastructure Updates (#6580) @csadorf
• Move Random Forest n_streams UserWarning out of execution (#6574) @ncclementi
• Remove conditional compilation blocks leftover from cuml-cpu (#6572) @jcrist
• Download build artifacts from Github for CI (#6566) @VenkateshJaya
• Don't exclude sklearn tests from acceleration (#6565) @jcrist
• Add .git-blame-ignore-revs (#6564) @csadorf
• Add cuml.accel.is_proxy (#6559) @jcrist
• Update KMeans test to improve stability by setting n_init to 2 (#6553) (#6555) @csadorf
• Support weights="distance" for KNeighbors* in cuml.accel (#6554) @jcrist
• Improve detection of scikit-learn parity regressions (#6553) @csadorf
• Revise cuml.accel module patching and import mechanism (#6550) @jcrist
• Add isort to pre-commit hooks (#6549) @csadorf
• Refactor dataset generation and testing utilities (#6548) @csadorf
• Move cuml.accel tests out into own directory (#6547) @jcrist
• refactor(rattler): enable strict channel priority for builds (#6546) @gforsyth
• Remove unnecessary CudfBuffer and vendor cuDF min_signed_type function (#6543) @mroeschke
• Remove _experimental_dispatching attribute (#6542) @jcrist
• Avoid private attributes on cuDF objects (#6537) @mroeschke
• Reduce CI test combinations for scikit-learn acceleration tests (#6536) @csadorf
• Vendor RAPIDS.cmake (#6531) @bdice
• Disable building and uploading cuml-cpu in CI (#6529) @dantegd
• Remove CUDA whole compilation ODR violations (#6525) @divyegala
• SLHC to Migrate to cuVS Agglomerative from RAFT (#6507) @tarang-jain
• Solve forward merger conflicts of 6435 (#6501) @csadorf
• Add minimal import check to CI (#6484) @jcrist
• Moving wheel builds to specified location and uploading build artifacts to Github (#6472) @VenkateshJaya