[NIGHTLY] v23.02.00

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Use ivf_pq and ivf_flat from raft (#5119) @benfred
• Estimators adaptation toward CPU/GPU interoperability (#4918) @viclafargue
• Provide host CumlArray and associated infrastructure (#4908) @wphicks
• Improvements of UMAP/TSNE precomputed KNN feature (#4865) @viclafargue

🐛 Bug Fixes

• Fix for creation of CUDA context at import time (#5211) @dantegd
• Correct arguments to load_from_treelite_model after classmethod conversion (#5210) @wphicks
• Use workaround to avoid staticmethod 3.10/Cython issue (#5202) @wphicks
• Increase margin for flaky FIL test (#5194) @wphicks
• Increase margin for flaky FIL test (#5174) @wphicks
• Fix gather_if raft update (#5149) @lowener
• Add _predict_model_on_cpu for RandomForestClassifier (#5148) @lowener
• Fix for hdbscan model serialization (#5128) @cjnolet
• build.sh switch to use RAPIDS magic value (#5124) @robertmaynard
• Fix Lasso interop issue (#5116) @viclafargue
• Remove nvcc conda package and add compiler/ninja to dev envs (#5113) @dantegd
• Add missing job dependency for new PR jobs check (#5112) @dantegd
• Skip RAFT docstring test in cuML (#5088) @dantegd
• Restore KNN metric attribute (#5087) @viclafargue
• Check sklearn presence before importing the Pipeline (#5072) @viclafargue
• Provide workaround for kernel ridge solver (#5064) @wphicks
• Keep verbosity level in KMeans OPG (#5063) @viclafargue
• Transmit verbosity level to Dask workers (#5062) @viclafargue
• Ensure consistent order for nearest neighbor tests (#5059) @wphicks
• Add workers argument to dask make_blobs (#5057) @viclafargue
• Fix indexing type for ridge and linear models (#4996) @lowener

📖 Documentation

• Adding benchmark notebook for hdbscan soft clustering (#5103) @cjnolet
• Fix doc for solver in LogisticRegression (#5097) @viclafargue
• Fix docstring of HashingVectorizer (#5041) @lowener
• expose text, text.{CountVectorizer,HashingVectorizer,Tfidf{Transformer,Vectorizer}} from feature_extraction's public api (#5028) @mattf
• Add Dask LabelEncoder to the documentation (#5023) @beckernick

🚀 New Features

• HDBSCAN CPU/GPU Interop (#5137) @divyegala
• Make all CPU/GPU only imports "safe" for respective package (#5117) @wphicks
• Pickling for HBDSCAN (#5102) @divyegala
• Break up silhouette score into 3 units to improve compilation time (#5061) @wphicks
• Provide host CumlArray and associated infrastructure (#4908) @wphicks

🛠️ Improvements

• Pin dask and distributed for release (#5198) @galipremsagar
• Update shared workflow branches (#5197) @ajschmidt8
• Pin wheel dependencies to same RAPIDS release (#5183) @sevagh
• Reverting RAFT pin (#5178) @cjnolet
• Remove faiss from libcuml (#5175) @ajschmidt8
• Update location of import_utils from common to internals for Forest notebook (#5171) @taureandyernv
• Disable hypothesis tests for 23.02 burndown. (#5168) @csadorf
• Use CTK 118/cp310 branch of wheel workflows (#5163) @sevagh
• Add docs build GH (#5155) @AjayThorve
• Adapt to changes in cudf.core.buffer.Buffer (#5154) @galipremsagar
• Upgrade Treelite to 3.1.0 (#5146) @hcho3
• Replace cpdef variables with cdef variables. (#5145) @bdice
• Update Scikit-learn compatibility to 1.2 (#5141) @dantegd
• Replace deprecated raft headers (#5134) @lowener
• Execution device interoperability documentation (#5130) @viclafargue
• Remove outdated macOS deployment target from build script. (#5125) @bdice
• Build CUDA 11.8 and Python 3.10 Packages (#5120) @bdice
• Use ivf_pq and ivf_flat from raft (#5119) @benfred
• Update workflows for nightly tests (#5110) @ajschmidt8
• Build pip wheels alongside conda CI (#5109) @sevagh
• Remove PROJECT_FLASH from libcuml conda build environment. (#5108) @bdice
• Enable Recently Updated Check (#5105) @ajschmidt8
• Ensure pytest is run from relevant directories in GH Actions (#5101) @ajschmidt8
• Remove C++ Kmeans test (#5098) @lowener
• Slightly lower the test_mbsgd_regressor expected min score. (#5092) @csadorf
• Skip all hypothesis health checks by default in CI runs. (#5090) @csadorf
• Reduce Naive Bayes test time (#5082) @lowener
• Remove unused .conda folder (#5078) @ajschmidt8
• Fix conflicts in #5045 (#5077) @ajschmidt8
• Add GitHub Actions Workflows (#5075) @csadorf
• Skip test_linear_regression_model_default test. (#5074) @csadorf
• Fix link. (#5067) @bdice
• Expand hypothesis testing for linear models (#5065) @csadorf
• Update xgb version in GPU CI 23.02 to 1.7.1 and unblocking CI (#5051) @dantegd
• Remove direct UCX and NCCL dependencies (#5038) @vyasr
• Move single test from test to tests (#5037) @vyasr
• Support using CountVectorizer & TfidVectorizer in cuml.pipeline.Pipeline (#5034) @lasse-it
• Refactor API decorators (#5026) @csadorf
• Implement hypothesis strategies and tests for arrays (#5017) @csadorf
• Add dependencies.yaml for rapids-dependency-file-generator (#5003) @beckernick
• Improved CPU/GPU interoperability (#5001) @viclafargue
• Estimators adaptation toward CPU/GPU interoperability (#4918) @viclafargue
• Improvements of UMAP/TSNE precomputed KNN feature (#4865) @viclafargue

v22.10.01

🐛 Bug Fixes

• Skipping some hdbscan tests when cuda version is <= 11.2. (#4916) @cjnolet
• Fix HDBSCAN python namespace (#4895) @cjnolet
• Cupy 11 fixes (#4889) @dantegd
• Fix small fp precision failure in linear regression doctest test (#4884) @lowener
• Remove unused cuDF imports (#4873) @beckernick
• Update for thrust 1.17 and fixes to accommodate for cuDF Buffer refactor (#4871) @dantegd
• Use rapids-cmake 22.10 best practice for RAPIDS.cmake location (#4862) @robertmaynard
• Patch for nightly test&bench (#4840) @viclafargue
• Fixed Large memory requirements for SimpleImputer strategy median #4794 (#4817) @erikrene
• Transforms RandomForest estimators non-consecutive labels to consecutive labels where appropriate (#4780) @VamsiTallam95

📖 Documentation

• Document that minimum required CMake version is now 3.23.1 (#4899) @robertmaynard
• Update KMeans notebook for clarity (#4886) @beckernick

🚀 New Features

• Allow cupy 11 (#4880) @galipremsagar
• Add sample_weight to Coordinate Descent solver (Lasso and ElasticNet) (#4867) @lowener
• Import treelite models into FIL in a different precision (#4839) @canonizer
• #4783 Added nan_euclidean distance metric to pairwise_distances (#4797) @Sreekiran096
• PowerTransformer, QuantileTransformer and KernelCenterer (#4755) @viclafargue
• Add "median" to TargetEncoder (#4722) @daxiongshu
• New Feature StratifiedKFold (#3109) @daxiongshu

🛠️ Improvements

• Update cuda-python dependency to 11.7.1 (#4948) @shwina
• Updating python to use pylibraft (#4887) @cjnolet
• Upgrade Treelite to 3.0.0 (#4885) @hcho3
• Statically link all CUDA toolkit libraries (#4881) @trxcllnt
• approximate_predict function for HDBSCAN (#4872) @tarang-jain
• Pin dask and distributed for release (#4859) @galipremsagar
• Remove Raft deprecated headers (#4858) @lowener
• Fix forward-merge conflicts (#4857) @ajschmidt8
• Update the NVTX bench helper for the new nsys utility (#4826) @viclafargue
• All points membership vector for HDBSCAN (#4800) @tarang-jain
• TSNE and UMAP allow several distance types (#4779) @tarang-jain
• Convert fp32 datasets to fp64 in ARIMA and AutoARIMA + update notebook to avoid deprecation warnings with positional parameters (#4195) @Nyrio

v22.10.00

🐛 Bug Fixes

• Skipping some hdbscan tests when cuda version is <= 11.2. (#4916) @cjnolet
• Fix HDBSCAN python namespace (#4895) @cjnolet
• Cupy 11 fixes (#4889) @dantegd
• Fix small fp precision failure in linear regression doctest test (#4884) @lowener
• Remove unused cuDF imports (#4873) @beckernick
• Update for thrust 1.17 and fixes to accommodate for cuDF Buffer refactor (#4871) @dantegd
• Use rapids-cmake 22.10 best practice for RAPIDS.cmake location (#4862) @robertmaynard
• Patch for nightly test&bench (#4840) @viclafargue
• Fixed Large memory requirements for SimpleImputer strategy median #4794 (#4817) @erikrene
• Transforms RandomForest estimators non-consecutive labels to consecutive labels where appropriate (#4780) @VamsiTallam95

📖 Documentation

• Document that minimum required CMake version is now 3.23.1 (#4899) @robertmaynard
• Update KMeans notebook for clarity (#4886) @beckernick

🚀 New Features

• Allow cupy 11 (#4880) @galipremsagar
• Add sample_weight to Coordinate Descent solver (Lasso and ElasticNet) (#4867) @lowener
• Import treelite models into FIL in a different precision (#4839) @canonizer
• #4783 Added nan_euclidean distance metric to pairwise_distances (#4797) @Sreekiran096
• PowerTransformer, QuantileTransformer and KernelCenterer (#4755) @viclafargue
• Add "median" to TargetEncoder (#4722) @daxiongshu
• New Feature StratifiedKFold (#3109) @daxiongshu

🛠️ Improvements

• Updating python to use pylibraft (#4887) @cjnolet
• Upgrade Treelite to 3.0.0 (#4885) @hcho3
• Statically link all CUDA toolkit libraries (#4881) @trxcllnt
• approximate_predict function for HDBSCAN (#4872) @tarang-jain
• Pin dask and distributed for release (#4859) @galipremsagar
• Remove Raft deprecated headers (#4858) @lowener
• Fix forward-merge conflicts (#4857) @ajschmidt8
• Update the NVTX bench helper for the new nsys utility (#4826) @viclafargue
• All points membership vector for HDBSCAN (#4800) @tarang-jain
• TSNE and UMAP allow several distance types (#4779) @tarang-jain
• Convert fp32 datasets to fp64 in ARIMA and AutoARIMA + update notebook to avoid deprecation warnings with positional parameters (#4195) @Nyrio

[NIGHTLY] v22.12.00

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Change docs theme to pydata-sphinx theme (#4985) @galipremsagar
• Remove "Open In Colab" link from Estimator Intro notebook. (#4980) @bdice
• Remove CumlArray.copy() (#4958) @madsbk

🐛 Bug Fixes

• Backport "Don't initialize CUDA context if RAPIDS_NO_INITIALIZE env variable is set" (#5069) @dantegd
• Remove cupy.cusparse custom serialization (#5024) @dantegd
• Restore LinearRegression documentation (#5020) @viclafargue
• Don't use CMake 3.25.0 as it has a FindCUDAToolkit show stopping bug (#5007) @robertmaynard
• verifying cusparse wrapper revert passes CI (#4990) @cjnolet
• Use rapdsi_cpm_find(COMPONENTS ) for proper component tracking (#4989) @robertmaynard
• Fix integer overflow in AutoARIMA due to bool-to-int cub scan (#4971) @Nyrio
• Add missing includes (#4947) @vyasr
• Fix the CMake option for disabling deprecation warnings. (#4946) @vyasr
• Make doctest resilient to changes in cupy reprs (#4945) @vyasr
• Assign python/ sub-directory to python-codeowners (#4940) @csadorf
• Fix for non-contiguous strides (#4736) @viclafargue

📖 Documentation

• Change docs theme to pydata-sphinx theme (#4985) @galipremsagar
• Remove "Open In Colab" link from Estimator Intro notebook. (#4980) @bdice
• Updating build instructions (#4979) @cjnolet

🚀 New Features

• Reenable copy_prs. (#5010) @vyasr
• Add wheel builds (#5009) @vyasr
• LinearRegression: add support for multiple targets (#4988) @ahendriksen
• CPU/GPU interoperability POC (#4874) @viclafargue

🛠️ Improvements

• Upgrade Treelite to 3.0.1 (#5018) @hcho3
• fix addition of nan_euclidean_distances to public api (#5015) @mattf
• Fixing raft pin to 22.12 (#5000) @cjnolet
• Pin dask and distributed for release (#4999) @galipremsagar
• Update dask nightly install command in CI (#4978) @galipremsagar
• Improve error message for array_equal asserts. (#4973) @csadorf
• Use new rapids-cmake functionality for rpath handling. (#4966) @vyasr
• Impl. CumlArray.deserialize() (#4965) @madsbk
• Update cuda-python dependency to 11.7.1 (#4961) @galipremsagar
• Add check for nsys utility version in the nvtx_benchmarks.py script (#4959) @viclafargue
• Remove CumlArray.copy() (#4958) @madsbk
• Implement hypothesis-based tests for linear models (#4952) @csadorf
• Switch to using rapids-cmake for gbench. (#4950) @vyasr
• Remove stale labeler (#4949) @raydouglass
• Fix url in python/setup.py setuptools metadata. (#4937) @csadorf
• Updates to fix cuml build (#4928) @cjnolet
• Documenting hdbscan module to add prediction functions (#4925) @cjnolet
• Unpin dask and distributed for development (#4912) @galipremsagar
• Use KMeans from Raft (#4713) @lowener
• Update cuml raft header extensions (#4599) @cjnolet
• Reconciling primitives moved to RAFT (#4583) @cjnolet

v22.08.00

🚨 Breaking Changes

• Update Python build to scikit-build (#4818) @dantegd
• Bump xgboost to 1.6.0 from 1.5.2 (#4777) @galipremsagar

🐛 Bug Fixes

• Revert "Allow CuPy 11" (#4847) @galipremsagar
• Fix RAFT_NVTX option not set (#4825) @achirkin
• Fix KNN error message. (#4782) @trivialfis
• Update raft pinnings in dev yml files (#4778) @galipremsagar
• Bump xgboost to 1.6.0 from 1.5.2 (#4777) @galipremsagar
• Fixes exception when using predict_proba on fitted Pipeline object with a ColumnTransformer step (#4774) @VamsiTallam95
• Regression errors failing with mixed data type combinations (#4770) @shaswat-indian

📖 Documentation

• Use common code in python docs and defer js loading (#4852) @galipremsagar
• Centralize common css & js code in docs (#4844) @galipremsagar
• Add ComplementNB to the documentation (#4805) @lowener
• Fix forward-merge branch-22.06 to branch-22.08 (#4789) @divyegala

🚀 New Features

• Update Python build to scikit-build (#4818) @dantegd
• Vectorizers to accept Pandas Series as input (#4811) @shaswat-indian
• Cython wrapper for v-measure (#4785) @shaswat-indian

🛠️ Improvements

• Pin dask & distributed for release (#4850) @galipremsagar
• Allow CuPy 11 (#4837) @jakirkham
• Remove duplicate adj_to_csr implementation (#4829) @ahendriksen
• Update conda environment files to UCX 1.13.0 (#4813) @pentschev
• Update conda recipes to UCX 1.13.0 (#4809) @pentschev
• Fix #3414: remove naive versions dbscan algorithms (#4804) @ahendriksen
• Accelerate adjacency matrix to CSR conversion for DBSCAN (#4803) @ahendriksen
• Pin max version of cuda-python to 11.7.0 (#4793) @Ethyling
• Allow cosine distance metric in dbscan (#4776) @tarang-jain
• Unpin dask & distributed for development (#4771) @galipremsagar
• Clean up Thrust includes. (#4675) @bdice
• Improvements in feature sampling (#4278) @vinaydes

[NIGHTLY] v22.10.00

🔗 Links

• Development Branch
• Compare with main branch

🐛 Bug Fixes

• Skipping some hdbscan tests when cuda version is <= 11.2. (#4916) @cjnolet
• Fix HDBSCAN python namespace (#4895) @cjnolet
• Cupy 11 fixes (#4889) @dantegd
• Fix small fp precision failure in linear regression doctest test (#4884) @lowener
• Remove unused cuDF imports (#4873) @beckernick
• Update for thrust 1.17 and fixes to accommodate for cuDF Buffer refactor (#4871) @dantegd
• Use rapids-cmake 22.10 best practice for RAPIDS.cmake location (#4862) @robertmaynard
• Patch for nightly test&bench (#4840) @viclafargue
• Fixed Large memory requirements for SimpleImputer strategy median #4794 (#4817) @erikrene
• Transforms RandomForest estimators non-consecutive labels to consecutive labels where appropriate (#4780) @VamsiTallam95

📖 Documentation

• Document that minimum required CMake version is now 3.23.1 (#4899) @robertmaynard
• Update KMeans notebook for clarity (#4886) @beckernick

🚀 New Features

• Allow cupy 11 (#4880) @galipremsagar
• Add sample_weight to Coordinate Descent solver (Lasso and ElasticNet) (#4867) @lowener
• Import treelite models into FIL in a different precision (#4839) @canonizer
• #4783 Added nan_euclidean distance metric to pairwise_distances (#4797) @SreekiranprasadV
• PowerTransformer, QuantileTransformer and KernelCenterer (#4755) @viclafargue
• Add "median" to TargetEncoder (#4722) @daxiongshu
• New Feature StratifiedKFold (#3109) @daxiongshu

🛠️ Improvements

• Update cuda-python dependency to 11.7.1 (#4948) @shwina
• Updating python to use pylibraft (#4887) @cjnolet
• Upgrade Treelite to 3.0.0 (#4885) @hcho3
• Statically link all CUDA toolkit libraries (#4881) @trxcllnt
• approximate_predict function for HDBSCAN (#4872) @tarang-jain
• Pin dask and distributed for release (#4859) @galipremsagar
• Remove Raft deprecated headers (#4858) @lowener
• Fix forward-merge conflicts (#4857) @ajschmidt8
• Update the NVTX bench helper for the new nsys utility (#4826) @viclafargue
• All points membership vector for HDBSCAN (#4800) @tarang-jain
• TSNE and UMAP allow several distance types (#4779) @tarang-jain
• Convert fp32 datasets to fp64 in ARIMA and AutoARIMA + update notebook to avoid deprecation warnings with positional parameters (#4195) @Nyrio

v22.06.01

v22.06.01

v22.06.00

🐛 Bug Fixes

• Fix sg benchmark build. (#4766) @trivialfis
• Resolve KRR hypothesis test failure (#4761) @RAMitchell
• Fix KBinsDiscretizer bin_edges_ (#4735) @viclafargue
• FIX Accept small floats in RandomForest (#4717) @thomasjpfan
• Remove import of scalar_broadcast_to from stemmer (#4706) @viclafargue
• Replace 22.04.x with 22.06.x in yaml files (#4692) @daxiongshu
• Replace cudf.logical_not with ~ (#4669) @canonizer

📖 Documentation

• Fix docs builds (#4733) @ajschmidt8
• Change "principals" to "principles" (#4695) @cakiki
• Update pydoc and promote ColumnTransformer out of experimental (#4509) @viclafargue

🚀 New Features

• float64 support in FIL functions (#4655) @canonizer
• float64 support in FIL core (#4646) @canonizer
• Allow "LabelEncoder" to accept cupy and numpy arrays as input. (#4620) @daxiongshu
• MNMG Logistic Regression (dask-glm wrapper) (#3512) @daxiongshu

🛠️ Improvements

• Pin dask & distributed for release (#4758) @galipremsagar
• Simplicial set functions (#4756) @viclafargue
• Upgrade Treelite to 2.4.0 (#4752) @hcho3
• Simplify recipes (#4749) @Ethyling
• Inference for float64 random forests using FIL (#4739) @canonizer
• MNT Removes unused optim_batch_size from UMAP's docstring (#4732) @thomasjpfan
• Require UCX 1.12.1+ (#4720) @jakirkham
• Allow enabling raft NVTX markers when raft is installed (#4718) @achirkin
• Fix identifier collision (#4716) @viclafargue
• Use raft::span in TreeExplainer (#4714) @hcho3
• Expose simplicial set functions (#4711) @viclafargue
• Refactor tests in cuml (#4703) @galipremsagar
• Use conda to build python packages during GPU tests (#4702) @Ethyling
• Update pinning to allow newer CMake versions. (#4698) @vyasr
• TreeExplainer extensions (#4697) @RAMitchell
• Add sample_weight for Ridge (#4696) @lowener
• Unpin dask & distributed for development (#4693) @galipremsagar
• float64 support in treelite->FIL import and Python layer (#4690) @canonizer
• Enable building static libs (#4673) @trxcllnt
• Treeshap hypothesis tests (#4671) @RAMitchell
• float64 support in multi-sum and child_index() (#4648) @canonizer
• Add libcuml-tests package (#4635) @Ethyling
• Random ball cover algorithm for 3D data (#4582) @cjnolet
• Use conda compilers (#4577) @Ethyling
• Build packages using mambabuild (#4542) @Ethyling

v22.04.00

🚨 Breaking Changes

• Moving more ling prims to raft (#4567) @cjnolet
• Refactor QN solver: pass parameters via a POD struct (#4511) @achirkin

🐛 Bug Fixes

• Fix single-GPU build by separating multi-GPU decomposition utils from single GPU (#4645) @dantegd
• RF: fix stream bug causing performance regressions (#4644) @venkywonka
• XFail test_hinge_loss temporarily (#4621) @lowener
• cuml now supports building non static treelite (#4598) @robertmaynard
• Fix mean_squared_error with cudf series (#4584) @daxiongshu
• Fix for nightly CI tests: Use CUDA_REL variable in gpu build.sh script (#4581) @dantegd
• Fix the TargetEncoder when transforming dataframe/series with custom index (#4578) @daxiongshu
• Removing sign from pca assertions for now. (#4559) @cjnolet
• Fix compatibility of OneHotEncoder fit (#4544) @lowener
• Fix worker streams in OLS-eig executing in an unsafe order (#4539) @achirkin
• Remove xfail from test_hinge_loss (#4504) @Nanthini10
• Fix automerge #4501 (#4502) @dantegd
• Remove classmethod of SimpleImputer (#4439) @lowener

📖 Documentation

• RF: Fix improper documentation in dask-RF (#4666) @venkywonka
• Add doctest (#4618) @lowener
• Fix document layouts in Parameters sections (#4609) @Yosshi999
• Updates to consistency of MNMG PCA/TSVD solvers (docs + code consolidation) (#4556) @cjnolet

🚀 New Features

• Add a dummy argument deep to TargetEncoder.get_params() (#4601) @daxiongshu
• Add Complement Naive Bayes (#4595) @lowener
• Add get_params() to TargetEncoder (#4588) @daxiongshu
• Target Encoder with variance statistics (#4483) @daxiongshu
• Interruptible execution (#4463) @achirkin
• Configurable libcuml++ per algorithm (#4296) @dantegd

🛠️ Improvements

• Adding some prints when hdbscan assertion fails (#4656) @cjnolet
• Temporarily disable new ops-bot functionality (#4652) @ajschmidt8
• Use CPMFindPackage to retrieve cumlprims_mg (#4649) @trxcllnt
• Pin dask & distributed versions (#4647) @galipremsagar
• Remove RAFT MM includes (#4637) @viclafargue
• Add option to build RAFT artifacts statically into libcuml++ (#4633) @dantegd
• Upgrade dask & distributed minimum version (#4632) @galipremsagar
• Add .github/ops-bot.yaml config file (#4630) @ajschmidt8
• Small fixes for certain test failures (#4628) @vinaydes
• Templatizing FIL types to add float64 support (#4625) @canonizer
• Fitsne as default tsne method (#4597) @lowener
• Add get_feature_names to OneHotEncoder (#4596) @viclafargue
• Fix OOM and cudaContext crash in C++ benchmarks (#4594) @RAMitchell
• Using Pyraft and automatically cloning when raft pin changes (#4593) @cjnolet
• Upgrade Treelite to 2.3.0 (#4590) @hcho3
• Sphinx warnings as errors (#4585) @RAMitchell
• Adding missing FAISS license (#4579) @cjnolet
• Add QN solver to ElasticNet and Lasso models (#4576) @achirkin
• Move remaining stats prims to raft (#4568) @cjnolet
• Moving more ling prims to raft (#4567) @cjnolet
• Adding libraft conda dependencies (#4564) @cjnolet
• Fix RF integer overflow (#4563) @RAMitchell
• Add CMake install rules for tests (#4551) @ajschmidt8
• Faster GLM preprocessing by fusing kernels (#4549) @achirkin
• RAFT API updates for lap, label, cluster, and spectral apis (#4548) @cjnolet
• Moving cusparse wrappers to detail API in RAFT. (#4547) @cjnolet
• Unpin max dask and distributed versions (#4546) @galipremsagar
• Kernel density estimation (#4545) @RAMitchell
• Update xgboost version in CI (#4541) @ajschmidt8
• replaces ccache with sccache (#4534) @AyodeAwe
• Remove RAFT memory management (2/2) (#4526) @viclafargue
• Updating RAFT linalg headers (#4515) @divyegala
• Refactor QN solver: pass parameters via a POD struct (#4511) @achirkin
• Kernel ridge regression (#4492) @RAMitchell
• QN solvers: Use different gradient norms for different for different loss functions. (#4491) @achirkin
• RF: Variable binning and other minor refactoring (#4479) @venkywonka
• Rewrite CD solver using more BLAS (#4446) @achirkin
• Add support for sample_weights in LinearRegression (#4428) @lowener
• Nightly automated benchmark (#4414) @viclafargue
• Use FAISS with RMM (#4297) @viclafargue
• Split C++ tests into separate binaries (#4295) @dantegd

v22.02.00

🚨 Breaking Changes

• Move NVTX range helpers to raft (#4445) @achirkin

🐛 Bug Fixes

• Always upload libcuml (#4530) @raydouglass
• Fix RAFT pin to main branch (#4508) @dantegd
• Pin dask & distributed (#4505) @galipremsagar
• Replace use of RMM provided CUDA bindings with CUDA Python (#4499) @shwina
• Dataframe Index as columns in ColumnTransformer (#4481) @viclafargue
• Support compilation with Thrust 1.15 (#4469) @robertmaynard
• fix minor ASAN issues in UMAPAlgo::Optimize::find_params_ab() (#4405) @yitao-li

📖 Documentation

• Remove comment numerical warning (#4408) @viclafargue
• Fix docstring for npermutations in PermutationExplainer (#4402) @hcho3

🚀 New Features

• Combine and expose SVC's support vectors when fitting multi-class data (#4454) @NV-jpt
• Accept fold index for TargetEncoder (#4453) @daxiongshu
• Move NVTX range helpers to raft (#4445) @achirkin

🛠️ Improvements

• Fix packages upload (#4517) @Ethyling
• Testing split fused l2 knn compilation units (#4514) @cjnolet
• Prepare upload scripts for Python 3.7 removal (#4500) @Ethyling
• Renaming macros with their RAFT counterparts (#4496) @divyegala
• Allow CuPy 10 (#4487) @jakirkham
• Upgrade Treelite to 2.2.1 (#4484) @hcho3
• Unpin dask and distributed (#4482) @galipremsagar
• Support categorical splits in in TreeExplainer (#4473) @hcho3
• Remove RAFT memory management (#4468) @viclafargue
• Add missing imports tests (#4452) @Ethyling
• Update CUDA 11.5 conda environment to use 22.02 pinnings. (#4450) @bdice
• Support cuML / scikit-learn RF classifiers in TreeExplainer (#4447) @hcho3
• Remove IncludeCategories from .clang-format (#4438) @codereport
• Simplify perplexity normalization in t-SNE (#4425) @zbjornson
• Unify dense and sparse tests (#4417) @levsnv
• Update ucx-py version on release using rvc (#4411) @Ethyling
• Universal Treelite tree walk function for FIL (#4407) @levsnv
• Update to UCX-Py 0.24 (#4396) @pentschev
• Using sparse public API functions from RAFT (#4389) @cjnolet
• Add a warning to prefer LinearSVM over SVM(kernel='linear') (#4382) @achirkin
• Hiding cusparse deprecation warnings (#4373) @cjnolet
• Unify dense and sparse import in FIL (#4328) @levsnv
• Integrating RAFT handle updates (#4313) @divyegala
• Use RAFT template instantations for distances (#4302) @cjnolet
• RF: code re-organization to enhance build parallelism (#4299) @venkywonka
• Add option to build faiss and treelite shared libs, inherit common dependencies from raft (#4256) @trxcllnt