rapidsai/cuml v21.06.00

on GitHub

🚨 Breaking Changes

• Remove Base.enable_rmm_pool method as it is no longer needed (#3875) @teju85
• RF: Make experimental-backend default for regression tasks and deprecate old-backend. (#3872) @venkywonka
• Deterministic UMAP with floating point rounding. (#3848) @trivialfis
• Fix RF regression performance (#3845) @RAMitchell
• Add feature to print forest shape in FIL upon importing (#3763) @levsnv
• Remove 'seed' and 'output_type' deprecated features (#3739) @lowener

🐛 Bug Fixes

• Disable UMAP deterministic test on CTK11.2 (#3942) @trivialfis
• Revert #3869 (#3933) @hcho3
• RF: fix the bug in pdf_to_cdf device function that causes hang when n_bins > TPB && n_bins % TPB != 0 (#3921) @venkywonka
• Fix number of permutations in pytest and getting handle for cuml models (#3920) @dantegd
• Fix typo in umap target_weight parameter (#3914) @lowener
• correct compliation of cuml c library (#3908) @robertmaynard
• Correct install path for include folder to avoid double nesting (#3901) @dantegd
• Add type check for y in train_test_split (#3886) @Nanthini10
• Fix for MNMG test_rf_classification_dask_fil_predict_proba (#3831) @lowener
• Fix MNMG test test_rf_regression_dask_fil (#3830) @hcho3
• AgglomerativeClustering support single cluster and ignore only zero distances from self-loops (#3824) @cjnolet

📖 Documentation

• Small doc fixes for 21.06 release (#3936) @dantegd
• Document ability to export cuML RF to predict on other machines (#3890) @hcho3

🚀 New Features

• Deterministic UMAP with floating point rounding. (#3848) @trivialfis
• HDBSCAN (#3821) @cjnolet
• Add feature to print forest shape in FIL upon importing (#3763) @levsnv

🛠️ Improvements

• Pin dask ot 2021.5.1 for 21.06 release (#3937) @dantegd
• Upgrade xgboost to 1.4.2 (#3925) @dantegd
• Use UCX-Py 0.20 (#3911) @jakirkham
• Upgrade NCCL to 2.9.9 (#3902) @dantegd
• Update conda developer environments (#3898) @viclafargue
• ARIMA: pre-allocation of temporary memory to reduce latencies (#3895) @Nyrio
• Condense TSNE parameters into a struct (#3884) @lowener
• Update CHANGELOG.md links for calver (#3883) @ajschmidt8
• Make sure __init__ is called in graph callback. (#3881) @trivialfis
• Update docs build script (#3877) @ajschmidt8
• Remove Base.enable_rmm_pool method as it is no longer needed (#3875) @teju85
• RF: Make experimental-backend default for regression tasks and deprecate old-backend. (#3872) @venkywonka
• Enable probability output from RF binary classifier (alternative implementaton) (#3869) @hcho3
• CI test speed improvement (#3851) @lowener
• Fix RF regression performance (#3845) @RAMitchell
• Update to CMake 3.20 features, rapids-cmake and CPM (#3844) @dantegd
• Support sparse input features in QN solvers and Logistic Regression (#3827) @achirkin
• Trustworthiness score improvements (#3826) @viclafargue
• Performance optimization of RF split kernels by removing empty cycles (#3818) @vinaydes
• Correct deprecate positional args decorator for CalVer (#3784) @lowener
• ColumnTransformer & FunctionTransformer (#3745) @viclafargue
• Remove 'seed' and 'output_type' deprecated features (#3739) @lowener