rapidsai/cuml v26.08.00 on GitHub

What's Changed

🚨 Breaking Changes

Switch RandomForest max_depth default to None by @csadorf in #8200
Link to libcuvs dynamically in wheel builds by @divyegala in #8250
Cleanup pairwise distances by @jcrist in #8268
Deprecate convert_dtype by @jcrist in #8300
Deprecate PorterStemmer by @jcrist in #8304
Move Lars out of experimental by @jcrist in #8336
CI Extend time limit for hypothesis tests by @betatim in #8346
Deprecate cuml.tsa by @csadorf in #8344
wheels: build CUDA 13 wheels with latest CTK (13.3.0) by @jameslamb in #8345
Deprecate cuml.datasets.make_arima by @jcrist in #8379
Deprecate legacy output types by @jcrist in #8389

🐛 Bug Fixes

Fix pandas 3 string dtype compatibility and CI flakes by @csadorf in #8142
Fix KDE score_samples symbol exports by @csadorf in #8173
Fix hinge loss decision-function shape handling by @csadorf in #8245
Fix clang-tidy failures in CUDA 13.2 CI by @dantegd in #8251
Match sklearn random forest feature sampling by @RAMitchell in #8239
Test cuml.accel upstream test suite with sklearn 1.9 by @csadorf in #8207
Update test suite to work with new pytest release by @dantegd in #8266
Introduce Safe Arithmetic by @divyegala in #8171
Cleanup extract_knn_graph by @jcrist in #8272
Fix RandomForestClassifier sklearn child metadata by @csadorf in #8291
Fallback unsupported cuml.accel PCA and KernelRidge cases to CPU by @csadorf in #8290
Fix FastIntDiv tparam by @aamijar in #8299
Remove sklearn example xfails by @csadorf in #8090
FIX: handle None transformers in ColumnTransformer get_params/set_params by @Husnain987 in #8292
Handle OpenML checksum failures in sklearn examples by @csadorf in #8359
Fix RF feature importances with infinite metrics by @RAMitchell in #8347
Limit cuml.accel pytest logging to errors by @csadorf in #8360
Fix --print-status path in benchmark CLI by @fallintoplace in #8320
fix(clang-format): preserve SPDX comments by @bdice in #8368
Make LabelEncoder docstring account for cuDF update by @viclafargue in #8376
Improve multi-GPU KMeans validation by @viclafargue in #8350
Separate sklearn example compatibility and total pass rates by @csadorf in #8409
Make FFT t-SNE deterministic when random seed is set by @dantegd in #8123
Fix Dask logistic regression with non-contiguous class labels by @viclafargue in #8422

📖 Documentation

Modernize the Python developer docs by @csadorf in #7642
Update docs to use NVIDIA Sphinx theme by @bdice in #8308
Restructure and clarify cuml.accel documentation by @csadorf in #8367
Document list and tuple input support by @csadorf in #8381

🚀 New Features

Add IPython magic for setting cuml.accel log level by @jcrist in #8231
[FEA] Add host-streaming support to single-GPU KMeans by @tarang-jain in #8248
Isolation Forest Implementation by @dantegd in #8226

🛠️ Improvements

Suppress intentional hardcoded version references by @csadorf in #8113
Forward merge release/26.06 into main by @csadorf in #8138
Improve devcontainer startup times by @trxcllnt in #8135
Fix symbol export by @vyasr in #8037
Fix a few lingering sklearn compat xfails by @jcrist in #8166
Add YAML based benchmark definitions for cuML regression runs by @dantegd in #7980
Report xfail details in Python test output by @csadorf in #8140
Add SECURITY.md by @jameslamb in #8175
merge release/26.06 into main by @jameslamb in #8184
Replace RF global quantile sort with deterministic sampled quantiles by @RAMitchell in #8111
Large (int64 indices) sparse input support by @jcrist in #8196
RF: narrow CountBin to double for weighted-training prep by @switch527 in #8132
fix(ci): fix configuration for breaking change notification workflow by @jameslamb in #8199
TST Make check_estimator coverage opt-out by @betatim in #8176
Forward merge release/26.06 into main by @csadorf in #8214
Remove deprecated sample_weight in naive bayes/sample_weights in hinge_loss by @jcrist in #8221
Remove deprecated probability argument to SVC by @jcrist in #8223
Bump scikit-learn minimum to 1.6 by @csadorf in #8091
Avoid host sync in _repr_mimebundle_ when possible by @jcrist in #8232
Remove deprecated probability argument to LinearSVC by @jcrist in #8224
Fix type reflection when input is an array-like by @jcrist in #8234
Update cuml.tsa to use new validation by @jcrist in #8236
Unify distributed RF quantile samples by @RAMitchell in #8190
Remove numba-cuda upper bound by @brandon-b-miller in #8189
refactor: switch to rapids-artifact-name for consistent artifact naming by @gforsyth in #8174
Update cuML sklearn tags for scikit-learn 1.6 by @csadorf in #8227
Refactor RF objectives by objective family by @RAMitchell in #8233
Update multi-gpu estimators to new input validation by @jcrist in #8241
Prepare RF bins and objectives for weights support by @RAMitchell in #8247
A few fixups to multi-gpu implementations by @jcrist in #8249
Remove obsolete scikit-learn 1.5 compatibility paths by @csadorf in #8253
Remove stale sklearn example xfail by @csadorf in #8259
Build and test with CUDA 13.3.0 by @bdice in #8246
Remove make_monotonic and sorted_unique_labels by @jcrist in #8269
Cleanup cuml.model_selection by @jcrist in #8270
Fixup CI by @jcrist in #8280
Limit high-dimensional cosine KDE property cases by @Federicorao in #8273
Validate random forest n_streams by @fallintoplace in #8263
Use main shared-workflows branch by @bdice in #8286
Mark test_logreg_l1[42-csr_array] flaky by @jcrist in #8289
Use segmented scan for RF row partitioning by @RAMitchell in #8257
Consolidate sparse utilities by @jcrist in #8288
Validate LinearSVC n_streams by @fallintoplace in #8282
Add C++ RF sample weight training support by @RAMitchell in #8258
Center RF split thresholds across empty quantile bins by @RAMitchell in #8283
Remove xfail markers for cuml.accel examples by @jinsolp in #8297
FIX Make __repr__ show parameters set to non-default values by @betatim in #8229
Avoid hard-coded SHAP test outputs by @viclafargue in #8264
CI Run cuml.accel tests in the sklearn nightly test runs by @betatim in #8219
Simplify reflect decorator by @jcrist in #8295
Remove cuml.internals.input_utils and remaining legacy ingest paths by @jcrist in #8293
Remove RMM make_any_device_resource helper usage by @bdice in #8197
skip Cython 3.2.7 by @jameslamb in #8301
Update CuPy and NumPy dependency specs by @bdice in #8287
Implement weighted bootstrap sampling for RF by @RAMitchell in #8296
Add benchmark coverage for missing cuML estimators by @viclafargue in #8271
Warn in cuml.accel if proxying a package outside a range of tested versions by @jcrist in #8303
cuml.accel SVM onnx support by @jcrist in #8307
Thread sample weights through RandomForest Python API by @RAMitchell in #8306
Add benchmark coverage for missing cuML estimators 2 by @viclafargue in #8325
Add benchmark coverage for missing cuML estimators 3 by @viclafargue in #8341
switch from 'cuda-python' to specific components (e.g. 'cuda-bindings') by @jameslamb in #8314
Handle RF split histogram shared-memory pressure by @RAMitchell in #8323
Empty commit to trigger new builds due to RAFT 3052 ABI breakage by @divyegala in #8353
fix(naive_bayes): use established classes_ on later partial_fit calls by @nethum529 in #8316
Prevent cuVS types from leaking through public headers by @viclafargue in #8342
Support row-major RandomForest training inputs by @RAMitchell in #8324
Add regression test for cluster-metric label-permutation invariance (#7199) by @aminehd in #8355
Prepare RF split counts for distributed training by @RAMitchell in #8348
Raise TypeError for invalid sparse input types in benchmark datagen by @fallintoplace in #8318
CI Fix bertopic testing by @betatim in #8298
Unify reflection system & decorators by @jcrist in #8339
Add JSON output for benchmark results by @dantegd in #8027
Increase cython-lint line length by @jcrist in #8374
A few sklearn compat test fixes by @jcrist in #8366
Split random forest histogram building and split scoring kernels by @RAMitchell in #8370
Re-enable RF regressor C++ benchmarks by @RAMitchell in #8371
Support coercing host arrays in mlfunc/ReflectedAttr by @jcrist in #8373
Finish migration to new decorators/descriptors by @jcrist in #8378
Address signedness compiler warning by @chyunsu3 in #8382
Add RF histogram allreduce hook for distributed split scoring by @RAMitchell in #8377
Enable building with 26.08 nvForest by @chyunsu3 in #8388
Remove legacy array and reflection machinery by @jcrist in #8385
Update developer wiki for new machinery by @jcrist in #8386
Empty commit to trigger a build by @bdice in #8399
[FEA] Skip Device Concat for KmeansMG by @tarang-jain in #8084

New Contributors

@Federicorao made their first contribution in #8273
@nethum529 made their first contribution in #8316
@Husnain987 made their first contribution in #8292
@aminehd made their first contribution in #8355

Full Changelog: v26.08.00a...v26.08.00