rapidsai/cuml v21.08.00

on GitHub

🚨 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