v0.18.0
Breaking Changes 🚨
- cuml.experimental SHAP improvements (#3433) @dantegd
- Enable feature sampling for the experimental backend of Random Forest (#3364) @vinaydes
- re-enable cuML's copyright checker script (#3363) @teju85
- Batched Silhouette Score (#3362) @divyegala
- Update failing MNMG tests (#3348) @viclafargue
- Rename print_summary() of Dask RF to get_summary_text(); it now returns string to the client (#3341) @hcho3
- Rename dump_as_json() -> get_json(); expose it from Dask RF (#3340) @hcho3
- MNMG KNN consolidation (#3307) @viclafargue
- Return confusion matrix as int unless float weights are used (#3275) @lowener
- Approximate Nearest Neighbors (#2780) @viclafargue
Bug Fixes 🐛
- HOTFIX Add ucx-proc package back that got lost during an auto merge conflict (#3551) @dantegd
- Non project-flash CI ml test 18.04 issue debugging and bugfixing (#3495) @dantegd
- Temporarily xfail KBinsDiscretizer uniform tests (#3494) @wphicks
- Fix illegal memory accesses when NITEMS > 1, and nrows % NITEMS != 0. (#3480) @canonizer
- Update call to dask client persist (#3474) @dantegd
- Adding warning for IVFPQ (#3472) @viclafargue
- Fix failing sparse NN test in CI by allowing small number of index discrepancies (#3454) @cjnolet
- Exempting thirdparty code from copyright checks (#3453) @lowener
- Relaxing Batched SilhouetteScore Test Constraint (#3452) @divyegala
- Mark kbinsdiscretizer quantile tests as xfail (#3450) @wphicks
- Fixing documentation on SimpleImputer (#3447) @lowener
- Skipping IVFPQ (#3429) @viclafargue
- Adding tol to dask test_kmeans (#3426) @lowener
- Fix memory bug for SVM with large n_rows (#3420) @tfeher
- Allow linear regression for with CUDA >=11.0 (#3417) @wphicks
- Fix vectorizer tests by restoring sort behavior in groupby (#3416) @JohnZed
- Ensure make_classification respects output type (#3415) @wphicks
- Clean Up
#includeDependencies (#3402) @mdemoret-nv - Fix Nearest Neighbor Stress Test (#3401) @lowener
- Fix array_equal in tests (#3400) @viclafargue
- Improving Copyright Check When Not Running in CI (#3398) @mdemoret-nv
- Also xfail zlib errors when downloading newsgroups data (#3393) @JohnZed
- Fix for ANN memory release bug (#3391) @viclafargue
- XFail Holt Winters test where statsmodels has known issues with gcc 9.3.0 (#3385) @JohnZed
- FIX Update cupy to >= 7.8 and remove unused build.sh script (#3378) @dantegd
- re-enable cuML's copyright checker script (#3363) @teju85
- Update failing MNMG tests (#3348) @viclafargue
- Rename print_summary() of Dask RF to get_summary_text(); it now returns string to the client (#3341) @hcho3
- Fixing
make_blobsto Respect the Global Output Type (#3339) @mdemoret-nv - Fix permutation explainer (#3332) @RAMitchell
- k-means bug fix in debug build (#3321) @akkamesh
- Fix for default arguments of PCA (#3320) @lowener
- Provide workaround for cupy.percentile bug (#3315) @wphicks
- Fix SVR unit test parameter (#3294) @tfeher
- Add xfail on fetching 20newsgroup dataset (test_naive_bayes) (#3291) @lowener
- Remove unused keyword in PorterStemmer code (#3289) @wphicks
- Remove static specifier in DecisionTree unit test for C++14 compliance (#3281) @wphicks
- Correct pure virtual declaration in manifold_inputs_t (#3279) @wphicks
Documentation 📖
- Correct import path in docs for experimental preprocessing features (#3488) @wphicks
- Minor doc updates for 0.18 (#3475) @JohnZed
- Improve Python Docs with Default Role (#3445) @mdemoret-nv
- Fixing Python Documentation Errors and Warnings (#3428) @mdemoret-nv
- Remove outdated references to changelog in CONTRIBUTING.md (#3328) @wphicks
- Adding highlighting to bibtex in readme (#3296) @cjnolet
New Features 🚀
- Improve runtime performance of RF to Treelite conversion (#3410) @wphicks
- Parallelize Treelite to FIL conversion over trees (#3396) @wphicks
- Parallelize RF to Treelite conversion over trees (#3395) @wphicks
- Allow saving Dask RandomForest models immediately after training (fixes #3331) (#3388) @jameslamb
- genetic programming initial structures (#3387) @teju85
- MNMG DBSCAN (#3382) @Nyrio
- FIL to use L1 cache when input columns don't fit into shared memory (#3370) @levsnv
- Enable feature sampling for the experimental backend of Random Forest (#3364) @vinaydes
- Batched Silhouette Score (#3362) @divyegala
- Rename dump_as_json() -> get_json(); expose it from Dask RF (#3340) @hcho3
- Exposing model_selection in a similar way to scikit-learn (#3329) @ptartan21
- Promote IncrementalPCA from experimental in 0.18 release (#3327) @lowener
- Create labeler.yml (#3324) @jolorunyomi
- Add slow high-precision mode to KNN (#3304) @wphicks
- Sparse TSNE (#3293) @divyegala
- Sparse Generalized SPMV (semiring) Primitive (#3146) @cjnolet
- Multiclass meta estimator wrappers and multiclass SVC (#3092) @tfeher
- Approximate Nearest Neighbors (#2780) @viclafargue
- Add KNN parameter to t-SNE (#2592) @aleksficek
Improvements 🛠️
- Update stale GHA with exemptions & new labels (#3507) @mike-wendt
- Add GHA to mark issues/prs as stale/rotten (#3500) @Ethyling
- Fix naive bayes inputs (#3448) @cjnolet
- Prepare Changelog for Automation (#3442) @ajschmidt8
- cuml.experimental SHAP improvements (#3433) @dantegd
- Speed up knn tests (#3411) @JohnZed
- Replacing sklearn functions with cuml in RF MNMG notebook (#3408) @lowener
- Auto-label PRs based on their content (#3407) @jolorunyomi
- Use stable 1.0.0 version of Treelite (#3394) @hcho3
- API update to match RAFT PR #120 (#3386) @drobison00
- Update linear models to use RMM memory allocation (#3365) @lowener
- Updating dense pairwise distance enum names (#3352) @cjnolet
- Upgrade Treelite module (#3316) @hcho3
- Removed FIL node types with
_tsuffix (#3314) @canonizer - MNMG KNN consolidation (#3307) @viclafargue
- Updating PyTests to Stay Below 4 Gb Limit (#3306) @mdemoret-nv
- Refactoring: move internal FIL interface to a separate file (#3292) @canonizer
- Return confusion matrix as int unless float weights are used (#3275) @lowener
- 018 add unfitted error pca & tests on IPCA (#3272) @lowener
- Linear models predict function consolidation (#3256) @dantegd
- Preparing sparse primitives for movement to RAFT (#3157) @cjnolet