🔗 Links
🐛 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_weightto 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,QuantileTransformerandKernelCenterer(#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
daskanddistributedfor 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