rapidsai/cuml v22.04.00 on GitHub

🚨 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