v25.02.01

🚨 Breaking Changes

• update pip devcontainers to UCX 1.18 (#6249) @jameslamb

🐛 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

📖 Documentation

• Fixes github link from pyx files (#6202) @thomasjpfan

🚀 New Features

• Allow CUDA ODR violations in 25.02 (#6264) @robertmaynard
• Define block size for sm_120 (#6250) @robertmaynard
• Support alpha=0 in Ridge (#6236) @jcrist
• Add as_sklearn and from_sklearn APIs to serialize to CPU sklearn-estimators for supported models (#6102) @dantegd

🛠️ Improvements

• Backport release 25.04 PRs for patch release version 25.02.01 (#6329) @dantegd
• Use rapids-pip-retry in CI jobs that might need retries (#6293) @gforsyth
• Avoid large device allocation in UMAP with nndescent (#6292) @jcrist
• Revert CUDA 12.8 shared workflow branch changes (#6282) @vyasr
• Build and test with CUDA 12.8.0 (#6266) @bdice
• update pip devcontainers to UCX 1.18 (#6249) @jameslamb
• Drop deprecated thrust features and replace with libcu++ ones (#6248) @miscco
• Add upper bound to prevent usage of numba 0.61.0 (#6244) @galipremsagar
• Normalize whitespace (#6238) @bdice
• Rename cpp/test to cpp/tests. (#6237) @bdice
• Use cuda.bindings layout. (#6233) @bdice
• Skip dispatching to GPU for unimplemented metrics in UMAP (#6224) @betatim
• Use GCC 13 in CUDA 12 conda builds. (#6221) @bdice
• declare cuda-python dependency for wheels, other small packaging changes (#6217) @jameslamb
• Bump Treelite to 4.4.1 (#6212) @hcho3
• Support raft's logger targets (#6208) @vyasr
• Use rapids-cmake for the logger (#6205) @vyasr
• consolidate pytest config in pyproject.toml (#6201) @jameslamb
• introduce libcuml wheels (#6199) @jameslamb
• Check if nightlies have succeeded recently enough (#6196) @vyasr
• Remove sphinx pinning (#6195) @vyasr
• simplify wheel CI scripts, other small packaging changes (#6190) @jameslamb
• Update for raft logger changes (#6187) @vyasr
• update telemetry actions to fluent-bit friendly style (#6186) @msarahan
• HDBSCAN and KMeans API improvements for improving CPU interoperability (#6181) @dantegd
• CPU/GPU interop with RandomForest (#6175) @hcho3
• Update version references in workflow (#6172) @AyodeAwe
• gate telemetry dispatch calls on TELEMETRY_ENABLED env var (#6171) @msarahan
• Use rapids-logger to generate the cuml logger (#6162) @vyasr
• Use estimator tags to improve sparse error handling (#6151) @dantegd
• FEA Add support for accepting a Numpy RandomState (#6150) @betatim
• prefer system install of UCX in pip devcontainers, update outdated RAPIDS references (#6149) @jameslamb
• Improve infrastructure for experimental dispatching of non existing methods in cuML (#6148) @dantegd
• Adapt to rmm logger changes (#6147) @vyasr
• Require approval to run CI on draft PRs (#6145) @bdice
• Add breaking change workflow trigger (#6130) @AyodeAwe
• Switch to native traceback in cuml (#6078) @galipremsagar