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Releases: rapidsai/cuml

v25.06.00

06 Jun 12:44
v25.06.00
eb0a262
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[NIGHTLY] v25.08.00

30 May 20:41
v25.08.00a
81f1234
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[NIGHTLY] v25.08.00 Pre-release
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🚨 Breaking Changes

  • Deprecating data_on_host parameter for UMAP (#6953) @jinsolp
  • Deprecate hdbscan prediction functions in cuml.cluster namespace (#6943) @jcrist
  • Reflect output type in hdbscan prediction functions (#6939) @jcrist
  • Deprecate connectivity parameter to HDBSCAN (#6936) @jcrist
  • Deprecate penalty='none' in MBSGDClassifier/MBSGDRegressor/SGD (#6926) @jcrist
  • Remove experimental.fil Python module (#6899) @hcho3
  • Change KMeans random_state default to None (#6884) @jcrist
  • Remove cuvs symbols in libcuml headers (#6883) @hcho3
  • Migrate C++ files from src/experimental/fil to src/fil (#6882) @hcho3
  • Add test for signatures of common methods (#6878) @jcrist
  • Port cuml.neighbors to InteropMixin/ProxyBase (#6851) @jcrist
  • Remove CUDA 11 from dependencies.yaml (#6847) @KyleFromNVIDIA
  • Remove legacy FIL from libcuml (#6844) @hcho3
  • stop uploading packages to downloads.rapids.ai (#6803) @jameslamb

🐛 Bug Fixes

  • Remove CuPy version constraint (#6979) @csadorf
  • Fix test_typeerror_input test with xfail for known sklearn LARS broadcasting bug (#6978) @csadorf
  • Add upper constraint for cupy 13.5 due to memory access issues (#6961) @csadorf
  • Decrease nightly check window to 7 days (#6934) @csadorf
  • Support empty categorical nodes in FIL (#6924) @hcho3
  • Rewrite HDBSCAN python wrapper (#6913) @jcrist
  • Mark test_warm_start_oob[RandomForestClassifier] as flaky (#6906) @csadorf
  • Unxfail tests affected by numba compilation error on Python 3.13.4 (#6905) @csadorf
  • Fix import in benchmark code in algorithms.py that was causing an error (#6902) @dantegd
  • Add test for signatures of common methods (#6878) @jcrist
  • Fix CI test failures: xfail tests for scikit-learn 1.7.0 and Python 3.13.4 compatibility (#6865) @csadorf
  • Fix RandomForestRegressor default max_features (#6862) @jcrist
  • Increase tolerance in Dask logistic regression test (#6848) @csadorf

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v25.04.00

09 Apr 21:28
4307c22
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v25.02.01

03 Mar 21:13
v25.02.01
23773cd
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🚨 Breaking Changes

🐛 Bug Fixes

  • Remove straggling click option (#6381) @dantegd
  • Fix dask logistic regression segfault/hang due to wrongly typed variable (#6281) @dantegd
  • Log UMAP arrays at trace verbosity level. (#6274) @csadorf
  • Ensure all method signatures are sklearn compatible (#6260) @jcrist
  • Fix UMAP transform illegal memory access error when data_on_host=True (#6259) @csadorf
  • Ignore cudf's dataframe deprecation. (#6229) @bdice
  • Fix for porter stemmer for cuDF change and ARIMA pytest adjustments (#6227) @dantegd
  • Avoid duplicate log entries (#6222) @jcrist
  • Further fixes for Scipy 1.15 update for PR and nightly CI (#6213) @dantegd
  • Update setulb call from Scipy for updated signature of 1.15 (#6207) @dantegd
  • Adjust test_kmeans to avoid false positive failures (#6193) @dantegd
  • Adjust margin of logistic regression log_proba pytest to avoid false positive failures (#6188) @dantegd
  • Skip flaky test of kernel_density in nightly job of CUDA 12.0.1 (#6184) @dantegd
  • Try to reduce network usage in cuML tests. (#6174) @bdice
  • cuML dask fixes to unblock CI (#6170) @dantegd
  • Remap BATCH_TREE_REORG to TREE_REORG in FIL (#6161) @wphicks

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v24.12.00

11 Dec 21:41
v24.12.00
e79cd67
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v24.10.00

09 Oct 20:29
v24.10.00
ba7e3ab
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v24.08.00

08 Aug 02:09
v24.08.00
b17f2db
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🐛 Bug Fixes

  • Fixes for encoders/transformers for cudf.pandas (#5990) @dantegd
  • BUG: remove sample parameter from pca call to mean (#5980) @mfoerste4
  • Fix segfault and other errors in ForestInference.load_from_sklearn (#5973) @hcho3
  • Rename .devcontainers for CUDA 12.5 (#5967) @jakirkham
  • [MNT] Small NumPy 2 related fixes (#5954) @seberg
  • CI Fix: use ld_preload to avoid libgomp issue on ARM jobs (#5949) @dantegd
  • Fix for benchmark runner to handle parameter sweeps of multiple data types (#5938) @dantegd
  • Avoid extra memory copy when using cp.concatenate in cuml.dask kmeans (#5937) @dantegd
  • Assign correct labels_ in cuml.dask.kmeans (#5931) @dantegd
  • Fix nightly jobs by updating hypothesis strategies to account for sklearn change (#5925) @dantegd
  • Fix for SVC fit_proba not using class weights (#5912) @pablotanner
  • Fix cudf.pandas failure on test_convert_input_dtype (#5885) @dantegd
  • Fix cudf.pandas failure on test_convert_matrix_order_cuml_array (#5882) @dantegd
  • Simplify cuml array (#5166) @wence-

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v24.06.01

12 Jun 17:18
v24.06.01
bbd19ab
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v24.06.00

05 Jun 17:43
v24.06.00
6d0ef6c
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v24.04.00

10 Apr 20:54
v24.04.00
e7bc674
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🐛 Bug Fixes

  • Update pre-commit-hooks to v0.0.3 (#5816) @KyleFromNVIDIA
  • Correct and adjust tolerances of mnmg logreg pytests (#5812) @dantegd
  • Remove use of cudf.core.column.full. (#5794) @bdice
  • Suppress all HealthChecks on test_split_datasets. (#5791) @bdice
  • Suppress a hypothesis HealthCheck on test_split_datasets that fails in nightly CI. (#5790) @bdice
  • [BUG] Fix MAX_THREADS_PER_SM on sm 89. (#5785) @trivialfis
  • fix device to host copy not sync stream in logistic regression mg (#5766) @lijinf2
  • Use cudf.Index instead of cudf.GenericIndex. (#5738) @bdice
  • update RAPIDS dependencies to 24.4, refactor dependencies.yaml (#5726) @jameslamb

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