v21.12.00

🚨 Breaking Changes

• Fix indexing of PCA to use safer types (#4255) @lowener
• RF: Add Gamma and Inverse Gaussian loss criteria (#4216) @venkywonka
• update RF docs (#4138) @venkywonka

🐛 Bug Fixes

• Update conda recipe to have explicit libcusolver (#4392) @dantegd
• Restore FIL convention of inlining code (#4366) @levsnv
• Fix SVR intercept AttributeError (#4358) @lowener
• Fix is_stable_build logic for CI scripts (#4350) @ajschmidt8
• Temporarily disable rmm devicebuffer in array.py (#4333) @dantegd
• Fix categorical test in python (#4326) @levsnv
• Revert "Merge pull request #4319 from AyodeAwe/branch-21.12" (#4325) @ajschmidt8
• Preserve indexing in methods when applied to DataFrame and Series objects (#4317) @dantegd
• Fix potential CUDA context poison when negative (invalid) categories provided to FIL model (#4314) @levsnv
• Using sparse expanded distances where possible (#4310) @cjnolet
• Fix for mean_squared_error (#4287) @viclafargue
• Fix for Categorical Naive Bayes sparse handling (#4277) @lowener
• Throw an explicit excpetion if the input array is empty in DBSCAN.fit #4273 (#4275) @viktorkovesd
• Fix KernelExplainer returning TypeError for certain input (#4272) @Nanthini10
• Remove most warnings from pytest suite (#4196) @dantegd

📖 Documentation

• Add experimental GPUTreeSHAP to API doc (#4398) @hcho3
• Fix GLM typo on device/host pointer (#4320) @lowener
• update RF docs (#4138) @venkywonka

🚀 New Features

• Add GPUTreeSHAP to cuML explainer module (experimental) (#4351) @hcho3
• Enable training single GPU cuML models using Dask DataFrames and Series (#4300) @ChrisJar
• LinearSVM using QN solvers (#4268) @achirkin
• Add support for exogenous variables to ARIMA (#4221) @Nyrio
• Use opt-in shared memory carveout for FIL (#3759) @levsnv
• Symbolic Regression/Classification C/C++ (#3638) @vimarsh6739

🛠️ Improvements

• Fix Changelog Merge Conflicts for branch-21.12 (#4393) @ajschmidt8
• Pin max dask and distributed to 2012.11.2 (#4390) @galipremsagar
• Fix forward merge #4349 (#4374) @dantegd
• Upgrade clang to 11.1.0 (#4372) @galipremsagar
• Update clang-format version in docs; allow unanchored version string (#4365) @zbjornson
• Add CUDA 11.5 developer environment (#4364) @dantegd
• Fix aliasing violation in t-SNE (#4363) @zbjornson
• Promote FITSNE from experimental (#4361) @lowener
• Fix unnecessary f32/f64 conversions in t-SNE KL calc (#4331) @zbjornson
• Update rapids-cmake version (#4330) @dantegd
• rapids-cmake version update to 21.12 (#4327) @dantegd
• Use compute-sanitizer instead of cuda-memcheck (#4324) @teju85
• Ability to pass fp64 type to cuml benchmarks (#4323) @teju85
• Split treelite fil import from forest object definition (#4306) @levsnv
• update xgboost version (#4301) @msadang
• Accounting for RAFT updates to matrix, stats, and random implementations in detail (#4294) @divyegala
• Update cudf matrix calls for to_numpy and to_cupy (#4293) @dantegd
• Update conda recipes for Enhanced Compatibility effort (#4288) @ajschmidt8
• Increase parallelism from 4 to 8 jobs in CI (#4286) @dantegd
• RAFT distance prims public API update (#4280) @cjnolet
• Update to UCX-Py 0.23 (#4274) @pentschev
• In FIL, clip blocks_per_sm to one wave instead of asserting (#4271) @levsnv
• Update of "Gracefully accept 'n_jobs', a common sklearn parameter, in NearestNeighbors Estimator" (#4267) @NV-jpt
• Improve numerical stability of the Kalman filter for ARIMA (#4259) @Nyrio
• Fix indexing of PCA to use safer types (#4255) @lowener
• Change calculation of ARIMA confidence intervals (#4248) @Nyrio
• Unpin dask & distributed in CI (#4235) @galipremsagar
• RF: Add Gamma and Inverse Gaussian loss criteria (#4216) @venkywonka
• Exposing KL divergence in TSNE (#4208) @viclafargue
• Unify template parameter dispatch for FIL inference and shared memory footprint estimation (#4013) @levsnv

v21.10.02

v21.10.02

v21.10.01

v21.10.01

v21.08.03

v21.08.03

v21.10.00

🚨 Breaking Changes

• RF: python api behaviour refactor (#4207) @venkywonka
• Implement vector leaf for random forest (#4191) @RAMitchell
• Random forest refactoring (#4166) @RAMitchell
• RF: Add Poisson deviance impurity criterion (#4156) @venkywonka
• avoid paramsSolver::{n_rows,n_cols} shadowing their base class counterparts (#4130) @yitao-li
• Apply modifications to account for RAFT changes (#4077) @viclafargue

🐛 Bug Fixes

• Update scikit-learn version in conda dev envs to 0.24 (#4241) @dantegd
• Using pinned host memory for Random Forest and DBSCAN (#4215) @divyegala
• Make sure we keep the rapids-cmake and cuml cal version in sync (#4213) @robertmaynard
• Add thrust_create_target to install export in CMakeLists (#4209) @dantegd
• Change the error type to match sklearn. (#4198) @achirkin
• Fixing remaining hdbscan bug (#4179) @cjnolet
• Fix for cuDF changes to cudf.core (#4168) @dantegd
• Fixing UMAP reproducibility pytest failures in 11.4 by using random init for now (#4152) @cjnolet
• avoid paramsSolver::{n_rows,n_cols} shadowing their base class counterparts (#4130) @yitao-li
• Use the new RAPIDS.cmake to fetch rapids-cmake (#4102) @robertmaynard

📖 Documentation

• Expose train_test_split in API doc (#4234) @hcho3
• Adding docs for .get_feature_names() inside TfidfVectorizer (#4226) @mayankanand007
• Removing experimental flag from hdbscan description in docs (#4211) @cjnolet
• updated build instructions (#4200) @shaneding
• Forward-merge branch-21.08 to branch-21.10 (#4171) @jakirkham

🚀 New Features

• Experimental option to build libcuml++ only with FIL (#4225) @dantegd
• FIL to import categorical models from treelite (#4173) @levsnv
• Add hamming, jensen-shannon, kl-divergence, correlation and russellrao distance metrics (#4155) @mdoijade
• Add Categorical Naive Bayes (#4150) @lowener
• FIL to infer categorical forests and generate them in C++ tests (#4092) @levsnv
• Add Gaussian Naive Bayes (#4079) @lowener
• ARIMA - Add support for missing observations and padding (#4058) @Nyrio

🛠️ Improvements

• Pin max dask and distributed versions to 2021.09.1 (#4229) @galipremsagar
• Fea/umap refine (#4228) @AjayThorve
• Upgrade Treelite to 2.1.0 (#4220) @hcho3
• Add option to clone RAFT even if it is in the environment (#4217) @dantegd
• RF: python api behaviour refactor (#4207) @venkywonka
• Pytest updates for Scikit-learn 0.24 (#4205) @dantegd
• Faster glm ols-via-eigendecomposition algorithm (#4201) @achirkin
• Implement vector leaf for random forest (#4191) @RAMitchell
• Refactor kmeans sampling code (#4190) @Nanthini10
• Gracefully accept 'n_jobs', a common sklearn parameter, in NearestNeighbors Estimator (#4178) @NV-jpt
• Update with rapids cmake new features (#4175) @robertmaynard
• Update to UCX-Py 0.22 (#4174) @pentschev
• Random forest refactoring (#4166) @RAMitchell
• Fix log level for dask tree_reduce (#4163) @lowener
• Add CUDA 11.4 development environment (#4160) @dantegd
• RF: Add Poisson deviance impurity criterion (#4156) @venkywonka
• Split FIL infer_k into phases to speed up compilation (when a patch is applied) (#4148) @levsnv
• RF node queue rewrite (#4125) @RAMitchell
• Remove max version pin for dask & distributed on development branch (#4118) @galipremsagar
• Correct name of a cmake function in get_spdlog.cmake (#4106) @robertmaynard
• Apply modifications to account for RAFT changes (#4077) @viclafargue
• Warnings are errors (#4075) @harrism
• ENH Replace gpuci_conda_retry with gpuci_mamba_retry (#4065) @dillon-cullinan
• Changes to NearestNeighbors to call 2d random ball cover (#4003) @cjnolet
• support space in workspace (#3752) @jolorunyomi

v21.08.02

v21.08.02

v21.08.01

v21.08.01

v21.08.00

🚨 Breaking Changes

• Remove deprecated target_weights in UMAP (#4081) @lowener
• Upgrade Treelite to 2.0.0 (#4072) @hcho3
• RF/DT cleanup (#4005) @venkywonka
• RF: memset and batch size optimization for computing splits (#4001) @venkywonka
• Remove old RF backend (#3868) @RAMitchell
• Enable warp-per-tree inference in FIL for regression and binary classification (#3760) @levsnv

🐛 Bug Fixes

• Disabling umap reproducibility tests for cuda 11.4 (#4128) @cjnolet
• Fix for crash in RF when max_leaves parameter is specified (#4126) @vinaydes
• Running umap mnmg test twice (#4112) @cjnolet
• Minimal fix for SparseRandomProjection (#4100) @viclafargue
• Creating copy of components in PCA transform and inverse transform (#4099) @divyegala
• Fix SVM model parameter handling in case n_support=0 (#4097) @tfeher
• Fix set_params for linear models (#4096) @lowener
• Fix train test split pytest comparison (#4062) @dantegd
• Fix fit_transform on KMeans (#4055) @lowener
• Fixing -1 key access in 1nn reduce op in HDBSCAN (#4052) @divyegala
• Disable installing gbench to avoid container permission issues (#4049) @dantegd
• Fix double fit crash in preprocessing models (#4040) @viclafargue
• Always add faiss library alias if it's missing (#4028) @trxcllnt
• Fixing intermittent HBDSCAN pytest failure in CI (#4025) @divyegala
• HDBSCAN bug on A100 (#4024) @divyegala
• Add treelite include paths to treelite targets (#4023) @trxcllnt
• Add Treelite_BINARY_DIR include to cuml++ build interface include paths (#4018) @trxcllnt
• Small ARIMA-related bug fixes in Hessenberg reduction and make_arima (#4017) @Nyrio
• Update setup.py (#4015) @ajschmidt8
• Update treelite version in get_treelite.cmake (#4014) @ajschmidt8
• Fix build with latest RAFT branch-21.08 (#4012) @trxcllnt
• Skipping hdbscan pytests when gpu is a100 (#4007) @cjnolet
• Using 64-bit array lengths to increase scale of pca & tsvd (#3983) @cjnolet
• Fix MNMG test in Dask RF (#3964) @hcho3
• Use nested include in destination of install headers to avoid docker permission issues (#3962) @dantegd
• Fix automerge #3939 (#3952) @dantegd
• Update UCX-Py version to 0.21 (#3950) @pentschev
• Fix kernel and line info in cmake (#3941) @dantegd
• Fix for multi GPU PCA compute failing bug after transform and added error handling when n_components is not passed (#3912) @akaanirban
• Tolerate QN linesearch failures when it's harmless (#3791) @achirkin

📖 Documentation

• Improve docstrings for silhouette score metrics. (#4026) @bdice
• Update CHANGELOG.md link (#3956) @Salonijain27
• Update documentation build examples to be generator agnostic (#3909) @robertmaynard
• Improve FIL code readability and documentation (#3056) @levsnv

🚀 New Features

• Add Multinomial and Bernoulli Naive Bayes variants (#4053) @lowener
• Add weighted K-Means sampling for SHAP (#4051) @Nanthini10
• Use chebyshev, canberra, hellinger and minkowski distance metrics (#3990) @mdoijade
• Implement vector leaf prediction for fil. (#3917) @RAMitchell
• change TargetEncoder's smooth argument from ratio to count (#3876) @daxiongshu
• Enable warp-per-tree inference in FIL for regression and binary classification (#3760) @levsnv

🛠️ Improvements

• Remove clang/clang-tools from conda recipe (#4109) @dantegd
• Pin dask version (#4108) @galipremsagar
• ANN warnings/tests updates (#4101) @viclafargue
• Removing local memory operations from computeSplitKernel and other optimizations (#4083) @vinaydes
• Fix libfaiss dependency to not expressly depend on conda-forge (#4082) @Ethyling
• Remove deprecated target_weights in UMAP (#4081) @lowener
• Upgrade Treelite to 2.0.0 (#4072) @hcho3
• Optimize dtype conversion for FIL (#4070) @dantegd
• Adding quick notes to HDBSCAN public API docs as to why discrepancies may occur between cpu and gpu impls. (#4061) @cjnolet
• Update conda environment name for CI (#4039) @ajschmidt8
• Rewrite random forest gtests (#4038) @RAMitchell
• Updating Clang Version to 11.0.0 (#4029) @codereport
• Raise ARIMA parameter limits from 4 to 8 (#4022) @Nyrio
• Testing extract clusters in HDBSCAN (#4009) @divyegala
• ARIMA - Kalman loop rewrite: single megakernel instead of host loop (#4006) @Nyrio
• RF/DT cleanup (#4005) @venkywonka
• Exposing condensed hierarchy through cython for easier unit-level testing (#4004) @cjnolet
• Use the 21.08 branch of rapids-cmake as rmm requires it (#4002) @robertmaynard
• RF: memset and batch size optimization for computing splits (#4001) @venkywonka
• Reducing cluster size to number of selected clusters. Returning stability scores (#3987) @cjnolet
• HDBSCAN: Lazy-loading (and caching) condensed & single-linkage tree objects (#3986) @cjnolet
• Fix 21.08 forward-merge conflicts (#3982) @ajschmidt8
• Update Dask/Distributed version (#3978) @pentschev
• Use clang-tools on x86 only (#3969) @jakirkham
• Promote trustworthiness_score to public header, add missing includes, update dependencies (#3968) @trxcllnt
• Moving FAISS ANN wrapper to raft (#3963) @cjnolet
• Add MG weighted k-means (#3959) @lowener
• Remove unused code in UMAP. (#3931) @trivialfis
• Fix automerge #3900 and correct package versions in meta packages (#3918) @dantegd
• Adaptive stress tests when GPU memory capacity is insufficient (#3916) @lowener
• Fix merge conflicts (#3892) @ajschmidt8
• Remove old RF backend (#3868) @RAMitchell
• Refactor to extract random forest objectives (#3854) @RAMitchell

v21.06.02

Release v21.06.02

v21.06.01

Release v21.06.01