v24.12.00

🚨 Breaking Changes

• Forward merge Branch 24.10 into 24.12 (#6106) @divyegala

🐛 Bug Fixes

• Fix SSL error. (#6177) @bdice
• Fix scikit-learn version specifier (#6158) @trxcllnt
• Correctly handle missing categorical data in experimental FIL (#6132) @wphicks
• Put a ceiling on cuda-python (#6131) @bdice
• Don't presume pointers are mutually exclusive for device/host. (#6128) @robertmaynard
• cuml SINGLEGPU now tells cuvs to not build with nccl/mg support (#6127) @robertmaynard
• Remove type from pickle header for CumlArray (#6120) @wphicks
• Forward merge Branch 24.10 into 24.12 (#6106) @divyegala
• Fix Dask estimators serialization prior to training (#6065) @viclafargue

🚀 New Features

• Enable HDBSCAN gpu training and cpu inference (#6108) @divyegala

🛠️ Improvements

• Update FIL tests to use XGBoost UBJSON instead of binary (#6153) @hcho3
• Use sparse knn / distances from cuvs (#6143) @benfred
• Ensure MG to have the same number of allreduce calls in mean_stddev for sparse matrix to avoid hanging (#6141) @lijinf2
• Stop excluding cutlass from symbol exclusion check (#6140) @vyasr
• Optimize MG variance calculation for dataset standardization for logistic regression (#6138) @lijinf2
• enforce wheel size limits, README formatting in CI (#6136) @jameslamb
• Experimental command line interface UX (#6135) @dantegd
• add telemetry (#6126) @msarahan
• Make cuVS optional if CUML_ALGORITHMS is set (#6125) @hcho3
• devcontainer: replace VAULT_HOST with AWS_ROLE_ARN (#6118) @jjacobelli
• print sccache stats in builds (#6111) @jameslamb
• fix version in Doxygen docs (#6104) @jameslamb
• make conda installs in CI stricter (#6103) @jameslamb
• Make get_param_names a class method on single GPU estimators to match Scikit-learn closer (#6101) @dantegd
• Prune workflows based on changed files (#6094) @KyleFromNVIDIA
• Update all rmm imports to use pylibrmm/librmm (#6084) @Matt711
• Merge branch 24.10 into branch 24.12 (#6083) @jameslamb

[NIGHTLY] v25.02.00

🔗 Links

• Development Branch
• Compare with main branch

🐛 Bug Fixes

• 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

🛠️ Improvements

• Remove sphinx pinning (#6195) @vyasr
• update telemetry actions to fluent-bit friendly style (#6186) @msarahan
• Update version references in workflow (#6172) @AyodeAwe
• gate telemetry dispatch calls on TELEMETRY_ENABLED env var (#6171) @msarahan
• Use estimator tags to improve sparse error handling (#6151) @dantegd
• 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

v24.10.00

🚨 Breaking Changes

• Remove old dask-glm based logistic regression (#6028) @dantegd

🐛 Bug Fixes

• Fix train_test_split for string columns (#6088) @dantegd
• Stop shadowing free function (#6076) @vyasr
• Set default values for conftest options. (#6067) @bdice
• Add license file to conda packages (#6061) @raydouglass
• Fix np.NAN to np.nan. (#6056) @bdice
• Reenable pytest cuml-dask for CUDA 12.5 wheel CI tests (#6051) @divyegala
• Fix for simplicial_set_embedding (#6043) @viclafargue
• MAINT: Allow for error message to contain np.float32(1.0) (#6030) @seberg
• Stop exporting fill_k kernel as that causes ODR violations (#6021) @robertmaynard
• Avoid cudf column APIs after cudf.Series disallows column inputs (#6019) @mroeschke
• Use HDBSCAN package pin to 0.8.38 (#5906) @divyegala

📖 Documentation

• Update UMAP doc (#6064) @viclafargue
• Update README in experimental FIL (#6052) @hcho3
• add docs for simplicial_set (#6042) @Intron7

🚀 New Features

• TSNE CPU/GPU Interop (#6063) @divyegala
• Enable GPU fit and CPU transform in UMAP (#6032) @divyegala

🛠️ Improvements

• Migrate to use cuVS for vector search (#6085) @benfred
• Support all-zeroes feature vectors for MG sparse logistic regression (#6082) @lijinf2
• Update update-version.sh to use packaging lib (#6081) @AyodeAwe
• Use CI workflow branch 'branch-24.10' again (#6072) @jameslamb
• Update fmt (to 11.0.2) and spdlog (to 1.14.1), add those libraries to libcuml conda host dependencies (#6071) @jameslamb
• Update flake8 to 7.1.1. (#6070) @bdice
• Add support for Python 3.12, update to umap-learn==0.5.6 (#6060) @jameslamb
• Fix compiler warning about signed vs unsigned ints (#6053) @hcho3
• Update rapidsai/pre-commit-hooks (#6048) @KyleFromNVIDIA
• Drop Python 3.9 support (#6040) @jameslamb
• Add use_cuda_wheels matrix entry (#6038) @KyleFromNVIDIA
• Switch debug build to RelWithDebInfo (#6033) @rongou
• Remove NumPy <2 pin (#6031) @seberg
• Remove old dask-glm based logistic regression (#6028) @dantegd
• [FEA] UMAP API for building with batched NN Descent (#6022) @jinsolp
• Enabling CPU/GPU interop for SVM, DBSCAN and KMeans (#6020) @viclafargue
• Update pre-commit hooks (#6016) @KyleFromNVIDIA
• Improve update-version.sh (#6014) @bdice
• Use tool.scikit-build.cmake.version, set scikit-build-core minimum-version (#6012) @jameslamb
• Merge branch-24.08 into branch-24.10 (#5981) @jameslamb
• Use CUDA math wheels (#5966) @KyleFromNVIDIA

v24.08.00

🐛 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-

🚀 New Features

• [FEA] Enable UMAP to build knn graph using NN Descent (#5910) @jinsolp
• Allow estimators to accept any dtype (#5888) @dantegd

🛠️ Improvements

• Add support for XGBoost UBJSON in FIL (#6009) @hcho3
• split up CUDA-suffixed dependencies in dependencies.yaml (#5974) @jameslamb
• Use workflow branch 24.08 again (#5970) @KyleFromNVIDIA
• Bump Treelite to 4.3.0 (#5968) @hcho3
• reduce memory_footprint for sparse PCA transform (#5964) @Intron7
• Build and test with CUDA 12.5.1 (#5963) @KyleFromNVIDIA
• Support int64 index type in MG sparse LogisticRegression (#5962) @lijinf2
• Add CUDA_STATIC_MATH_LIBRARIES (#5959) @KyleFromNVIDIA
• skip CMake 3.30.0 (#5956) @jameslamb
• Make ci/run_cuml_dask_pytests.sh environment-agnostic again (#5950) @trxcllnt
• Use verify-alpha-spec hook (#5948) @KyleFromNVIDIA
• nest cuml one level deeper in python (#5944) @msarahan
• resolve dependency-file-generator warning, other rapids-build-backend followup (#5928) @jameslamb
• Adopt CI/packaging codeowners (#5923) @bdice
• Remove text builds of documentation (#5921) @vyasr
• Fix conflict of forward-merge #5905 of branch-24.06 into branch-24.08 (#5911) @dantegd
• Bump Treelite to 4.2.1 (#5908) @hcho3
• remove unnecessary 'setuptools' dependency (#5901) @jameslamb
• [FEA] PCA Initialization for TSNE (#5897) @aamijar
• Use rapids-build-backend (#5804) @KyleFromNVIDIA

v24.06.01

🐛 Bug Fixes

• [HOTFIX] Fix import of sklearn by using cpu_only_import (#5914) @dantegd
• Fix label binarize for binary class (#5900) @jinsolp
• Fix RandomForestClassifier return type (#5896) @jinsolp
• Fix nightly CI: remove deprecated creation of columns by using explicit dtype (#5880) @dantegd
• Fix DBSCAN allocates rbc index even if deactivated (#5859) @mfoerste4
• Remove gtest from dependencies.yaml (#5854) @robertmaynard
• Support expression-based Dask Dataframe API (#5835) @rjzamora
• Mark all kernels with internal linkage (#5764) @robertmaynard
• Fix build.sh clean command (#5730) @csadorf

📖 Documentation

• Update the developer's guide with new copyright hook (#5848) @KyleFromNVIDIA

🚀 New Features

• Always use a static gtest and gbench (#5847) @robertmaynard

🛠️ Improvements

• [HOTFIX] Add compatibility of imports with multiple Scikit-learn versions (#5922) @dantegd
• Support double precision in MNMG Logistic Regression (#5898) @lijinf2
• Reduce and rename cudf.pandas integrations jobs (#5890) @dantegd
• Fix building cuml with CCCL main (#5886) @trxcllnt
• Add optional CI job for integration tests with cudf.pandas (#5881) @dantegd
• Enable pytest failures on FutureWarnings/DeprecationWarnings (#5877) @mroeschke
• Remove return in test_lbfgs (#5875) @mroeschke
• Avoid dask_cudf.core imports (#5874) @bdice
• Support CPU object for train_test_split (#5873) @isVoid
• Only use functions in the limited API (#5871) @vyasr
• Replace deprecated disutils.version with packaging.version (#5868) @mroeschke
• Adjust deprecated cupy.sparse usage (#5867) @mroeschke
• Fix numpy 2.0 deprecations (#5866) @mroeschke
• Fix deprecated positional arg usage (#5865) @mroeschke
• Use int instead of float in random.randint (#5864) @mroeschke
• Migrate to {{ stdlib("c") }} (#5863) @hcho3
• Avoid deprecated API in notebook (#5862) @rjzamora
• Add dedicated handling for cudf.pandas wrapped Numpy arrays (#5861) @betatim
• Prepend devcontainer name with the username (#5860) @trxcllnt
• add --rm and --name to devcontainer run args (#5857) @trxcllnt
• Update pip devcontainers to UCX v1.15.0 (#5856) @trxcllnt
• Replace rmm::mr::device_memory_resource* with rmm::device_async_resource_ref (#5853) @harrism
• Update scikit-learn to 1.4 (#5851) @betatim
• Prevent undefined behavior when passing handle from Treelite to cuML FIL (#5849) @hcho3
• Adds missing files to update-version.sh (#5830) @AyodeAwe
• Enable all tests for arm arch (#5824) @galipremsagar
• Address PytestReturnNotNoneWarning in cuml tests (#5819) @mroeschke
• Handle binary classifier with all-0 labels (#5810) @hcho3
• Use pytest_cases.fixture to fix warnings. (#5798) @bdice
• Enable Dask tests with UCX-Py/UCXX in CI (#5697) @pentschev

v24.06.00

🐛 Bug Fixes

• [HOTFIX] Fix import of sklearn by using cpu_only_import (#5914) @dantegd
• Fix label binarize for binary class (#5900) @jinsolp
• Fix RandomForestClassifier return type (#5896) @jinsolp
• Fix nightly CI: remove deprecated creation of columns by using explicit dtype (#5880) @dantegd
• Fix DBSCAN allocates rbc index even if deactivated (#5859) @mfoerste4
• Remove gtest from dependencies.yaml (#5854) @robertmaynard
• Support expression-based Dask Dataframe API (#5835) @rjzamora
• Mark all kernels with internal linkage (#5764) @robertmaynard
• Fix build.sh clean command (#5730) @csadorf

📖 Documentation

• Update the developer's guide with new copyright hook (#5848) @KyleFromNVIDIA

🚀 New Features

• Always use a static gtest and gbench (#5847) @robertmaynard

🛠️ Improvements

• Support double precision in MNMG Logistic Regression (#5898) @lijinf2
• Reduce and rename cudf.pandas integrations jobs (#5890) @dantegd
• Fix building cuml with CCCL main (#5886) @trxcllnt
• Add optional CI job for integration tests with cudf.pandas (#5881) @dantegd
• Enable pytest failures on FutureWarnings/DeprecationWarnings (#5877) @mroeschke
• Remove return in test_lbfgs (#5875) @mroeschke
• Avoid dask_cudf.core imports (#5874) @bdice
• Support CPU object for train_test_split (#5873) @isVoid
• Only use functions in the limited API (#5871) @vyasr
• Replace deprecated disutils.version with packaging.version (#5868) @mroeschke
• Adjust deprecated cupy.sparse usage (#5867) @mroeschke
• Fix numpy 2.0 deprecations (#5866) @mroeschke
• Fix deprecated positional arg usage (#5865) @mroeschke
• Use int instead of float in random.randint (#5864) @mroeschke
• Migrate to {{ stdlib("c") }} (#5863) @hcho3
• Avoid deprecated API in notebook (#5862) @rjzamora
• Add dedicated handling for cudf.pandas wrapped Numpy arrays (#5861) @betatim
• Prepend devcontainer name with the username (#5860) @trxcllnt
• add --rm and --name to devcontainer run args (#5857) @trxcllnt
• Update pip devcontainers to UCX v1.15.0 (#5856) @trxcllnt
• Replace rmm::mr::device_memory_resource* with rmm::device_async_resource_ref (#5853) @harrism
• Update scikit-learn to 1.4 (#5851) @betatim
• Prevent undefined behavior when passing handle from Treelite to cuML FIL (#5849) @hcho3
• Adds missing files to update-version.sh (#5830) @AyodeAwe
• Enable all tests for arm arch (#5824) @galipremsagar
• Address PytestReturnNotNoneWarning in cuml tests (#5819) @mroeschke
• Handle binary classifier with all-0 labels (#5810) @hcho3
• Use pytest_cases.fixture to fix warnings. (#5798) @bdice
• Enable Dask tests with UCX-Py/UCXX in CI (#5697) @pentschev

v24.04.00

🐛 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

🚀 New Features

• Support CUDA 12.2 (#5711) @jameslamb

🛠️ Improvements

• Use conda env create --yes instead of --force (#5822) @bdice
• Bump Treelite to 4.1.2 (#5814) @hcho3
• Support standardization for sparse vectors in logistic regression MG (#5806) @lijinf2
• Update script input name (#5802) @AyodeAwe
• Add upper bound to prevent usage of NumPy 2 (#5797) @bdice
• Enable pytest failures on warnings from cudf (#5796) @mroeschke
• Use public cudf APIs where possible (#5795) @mroeschke
• Remove hard-coding of RAPIDS version where possible (#5793) @KyleFromNVIDIA
• Switch pytest-xdist algorithm to worksteal (#5792) @bdice
• Automate C++ include file grouping and ordering using clang-format (#5787) @harrism
• Add support for Python 3.11, require NumPy 1.23+ (#5786) @jameslamb
• [ENH] Let cuDF handle input types for label encoder. (#5783) @trivialfis
• Install test dependencies at the same time as cuml packages. (#5781) @bdice
• Update devcontainers to CUDA Toolkit 12.2 (#5778) @trxcllnt
• target branch-24.04 for GitHub Actions workflows (#5776) @jameslamb
• Add environment-agnostic scripts for running ctests and pytests (#5761) @trxcllnt
• Pandas 2.x support (#5758) @dantegd
• Update ops-bot.yaml (#5752) @AyodeAwe
• Forward-merge branch-24.02 to branch-24.04 (#5735) @bdice
• Replace local copyright check with pre-commit-hooks verify-copyright (#5732) @KyleFromNVIDIA
• DBSCAN utilize rbc eps_neighbors (#5728) @mfoerste4

v24.02.00

🚨 Breaking Changes

• Update to CCCL 2.2.0. (#5702) @bdice
• Switch to scikit-build-core (#5693) @vyasr

🐛 Bug Fixes

• [Hotfix] Fix FIL gtest (#5755) @hcho3
• Exclude tests from builds (#5754) @vyasr
• Fix ctest directory to ensure tests are executed (#5753) @bdice
• Synchronize stream in SVC memory test (#5729) @wphicks
• Fix shared-workflows repo name (#5723) @raydouglass
• Fix cupy dependency in pyproject.toml (#5705) @vyasr
• Only cufft offers a static_nocallback version of the library (#5703) @robertmaynard

🛠️ Improvements

• [Hotfix] Update GPUTreeSHAP to fix ARM build (#5747) @hcho3
• Disable HistGradientBoosting support for now (#5744) @hcho3
• Disable hnswlib feature in RAFT; pin pytest (#5733) @hcho3
• [LogisticRegressionMG] Support standardization with no data modification (#5724) @lijinf2
• Remove usages of rapids-env-update (#5716) @KyleFromNVIDIA
• Remove extraneous SKBUILD_BUILD_OPTIONS (#5714) @vyasr
• refactor CUDA versions in dependencies.yaml (#5712) @jameslamb
• Update to CCCL 2.2.0. (#5702) @bdice
• Migrate to Treelite 4.0 (#5701) @hcho3
• Use cuda::proclaim_return_type on device lambdas. (#5696) @bdice
• move _process_generic to base_return_types, avoid circular import (#5695) @dcolinmorgan
• Switch to scikit-build-core (#5693) @vyasr
• Fix all deprecated function calls in TUs where warnings are errors (#5692) @vyasr
• Remove CUML_BUILD_WHEELS and standardize Python builds (#5689) @vyasr
• Forward-merge branch-23.12 to branch-24.02 (#5657) @bdice
• Add cuML devcontainers (#5568) @trxcllnt

v23.12.00

🚨 Breaking Changes

• [LogisticRegressionMG] Support sparse vectors (#5632) @lijinf2

🐛 Bug Fixes

• Update actions/labeler to v4 (#5686) @raydouglass
• updated docs around make_column_transformer change from .preprocessing to .compose (#5680) @taureandyernv
• Skip dask pytest NN hang in CUDA 11.4 CI (#5665) @dantegd
• Avoid hard import of sklearn in base module. (#5663) @csadorf
• CI: Pin clang-tidy to 15.0.7. (#5661) @csadorf
• Adjust assumption regarding valid cudf.Series dimensional input. (#5654) @csadorf
• Flatten cupy array before feeding to cudf.Series (#5651) @vyasr
• CI: Fix expected ValueError and dask-glm incompatibility (#5644) @csadorf
• Use drop_duplicates instead of unique for cudf's pandas compatibility mode (#5639) @vyasr
• Temporarily avoid pydata-sphinx-theme version 0.14.2. (#5629) @csadorf
• Fix type hint in split function. (#5625) @trivialfis
• Fix trying to get pointer to None in svm/linear.pyx (#5615) @yosider
• Reduce parallelism to avoid OOMs in wheel tests (#5611) @vyasr

📖 Documentation

• Update interoperability docs (#5633) @beckernick
• Update instructions for creating a conda build environment (#5628) @csadorf

🚀 New Features

• Basic implementation of OrdinalEncoder. (#5646) @trivialfis

🛠️ Improvements

• Build concurrency for nightly and merge triggers (#5658) @bdice
• [LogisticRegressionMG][FEA] Support training when dataset contains only one class (#5655) @lijinf2
• Use new rapids-dask-dependency metapackage for managing dask versions (#5649) @galipremsagar
• Simplify some logic in LabelEncoder (#5648) @vyasr
• Increase Nanny close timeout in LocalCUDACluster tests (#5636) @pentschev
• [LogisticRegressionMG] Support sparse vectors (#5632) @lijinf2
• Add rich HTML representation to estimators (#5630) @betatim
• Unpin dask and distributed for 23.12 development (#5627) @galipremsagar
• Update shared-action-workflows references (#5621) @AyodeAwe
• Use branch-23.12 workflows. (#5618) @bdice
• Update rapids-cmake functions to non-deprecated signatures (#5616) @robertmaynard
• Allow nightly dependencies and set up consistent nightly versions for conda and pip packages (#5607) @vyasr
• Forward-merge branch-23.10 to branch-23.12 (#5596) @bdice
• Build CUDA 12.0 ARM conda packages. (#5595) @bdice
• Enable multiclass svm for sparse input (#5588) @mfoerste4

v23.10.00

🚨 Breaking Changes

• add sample_weight parameter to dbscan.fit (#5574) @mfoerste4
• Update to Cython 3.0.0 (#5506) @vyasr

🐛 Bug Fixes

• Fix accidental unsafe cupy import (#5613) @dantegd
• Fixes for CPU package (#5599) @dantegd
• Fixes for timeouts in tests (#5598) @dantegd

🚀 New Features

• Enable cuml-cpu nightly (#5585) @dantegd
• add sample_weight parameter to dbscan.fit (#5574) @mfoerste4

🛠️ Improvements

• cuml-cpu notebook, docs and cluster models (#5597) @dantegd
• Pin dask and distributed for 23.10 release (#5592) @galipremsagar
• Add changes for early experimental support for dataframe interchange protocol API (#5591) @dantegd
• [FEA] Support L1 regularization and ElasticNet in MNMG Dask LogisticRegression (#5587) @lijinf2
• Update image names (#5586) @AyodeAwe
• Update to clang 16.0.6. (#5583) @bdice
• Upgrade to Treelite 3.9.1 (#5581) @hcho3
• Update to doxygen 1.9.1. (#5580) @bdice
• [REVIEW] Adding a few of datasets for benchmarking (#5573) @vinaydes
• Allow cuML MNMG estimators to be serialized (#5571) @viclafargue
• [FEA] Support multiple classes in multi-node-multi-gpu logistic regression, from C++, Cython, to Dask Python class (#5565) @lijinf2
• Use copy-pr-bot (#5563) @ajschmidt8
• Unblock CI for branch-23.10 (#5561) @csadorf
• Fix CPU-only build for new FIL (#5559) @hcho3
• [FEA] Support no regularization in MNMG LogisticRegression (#5558) @lijinf2
• Unpin dask and distributed for 23.10 development (#5557) @galipremsagar
• Branch 23.10 merge 23.08 (#5547) @vyasr
• Use Python builtins to prep benchmark tmp_dir (#5537) @jakirkham
• Branch 23.10 merge 23.08 (#5522) @vyasr
• Update to Cython 3.0.0 (#5506) @vyasr