[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