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cuml - v24.04.00 Latest Release

Published by raydouglass 6 months ago

🐛 Bug Fixes

Update pre-commit-hooks to v0.0.3 (#5816) @KyleFromNVIDIA
Correct and adjust tolerances of mnmg logreg pytests (#5812) @dantegd
Remove use of cudf.core.column.full. (#5794) @bdice
Suppress all HealthChecks on test_split_datasets. (#5791) @bdice
Suppress a hypothesis HealthCheck on test_split_datasets that fails in nightly CI. (#5790) @bdice
[BUG] Fix MAX_THREADS_PER_SM on sm 89. (#5785) @trivialfis
fix device to host copy not sync stream in logistic regression mg (#5766) @lijinf2
Use cudf.Index instead of cudf.GenericIndex. (#5738) @bdice
update RAPIDS dependencies to 24.4, refactor dependencies.yaml (#5726) @jameslamb

🚀 New Features

Support CUDA 12.2 (#5711) @jameslamb

🛠️ Improvements

Use conda env create --yes instead of --force (#5822) @bdice
Bump Treelite to 4.1.2 (#5814) @hcho3
Support standardization for sparse vectors in logistic regression MG (#5806) @lijinf2
Update script input name (#5802) @AyodeAwe
Add upper bound to prevent usage of NumPy 2 (#5797) @bdice
Enable pytest failures on warnings from cudf (#5796) @mroeschke
Use public cudf APIs where possible (#5795) @mroeschke
Remove hard-coding of RAPIDS version where possible (#5793) @KyleFromNVIDIA
Switch pytest-xdist algorithm to worksteal (#5792) @bdice
Automate C++ include file grouping and ordering using clang-format (#5787) @harrism
Add support for Python 3.11, require NumPy 1.23+ (#5786) @jameslamb
[ENH] Let cuDF handle input types for label encoder. (#5783) @trivialfis
Install test dependencies at the same time as cuml packages. (#5781) @bdice
Update devcontainers to CUDA Toolkit 12.2 (#5778) @trxcllnt
target branch-24.04 for GitHub Actions workflows (#5776) @jameslamb
Add environment-agnostic scripts for running ctests and pytests (#5761) @trxcllnt
Pandas 2.x support (#5758) @dantegd
Update ops-bot.yaml (#5752) @AyodeAwe
Forward-merge branch-24.02 to branch-24.04 (#5735) @bdice
Replace local copyright check with pre-commit-hooks verify-copyright (#5732) @KyleFromNVIDIA
DBSCAN utilize rbc eps_neighbors (#5728) @mfoerste4

cuml - [NIGHTLY] v24.06.00

Published by rapids-bot[bot] 6 months ago

🔗 Links

🐛 Bug Fixes

Support expression-based Dask Dataframe API (#5835) @rjzamora

🛠️ Improvements

Use pytest_cases.fixture to fix warnings. (#5798) @bdice

cuml - v24.02.00

Published by raydouglass 8 months ago

🚨 Breaking Changes

Update to CCCL 2.2.0. (#5702) @bdice
Switch to scikit-build-core (#5693) @vyasr

🐛 Bug Fixes

[Hotfix] Fix FIL gtest (#5755) @hcho3
Exclude tests from builds (#5754) @vyasr
Fix ctest directory to ensure tests are executed (#5753) @bdice
Synchronize stream in SVC memory test (#5729) @wphicks
Fix shared-workflows repo name (#5723) @raydouglass
Fix cupy dependency in pyproject.toml (#5705) @vyasr
Only cufft offers a static_nocallback version of the library (#5703) @robertmaynard

🛠️ Improvements

[Hotfix] Update GPUTreeSHAP to fix ARM build (#5747) @hcho3
Disable HistGradientBoosting support for now (#5744) @hcho3
Disable hnswlib feature in RAFT; pin pytest (#5733) @hcho3
[LogisticRegressionMG] Support standardization with no data modification (#5724) @lijinf2
Remove usages of rapids-env-update (#5716) @KyleFromNVIDIA
Remove extraneous SKBUILD_BUILD_OPTIONS (#5714) @vyasr
refactor CUDA versions in dependencies.yaml (#5712) @jameslamb
Update to CCCL 2.2.0. (#5702) @bdice
Migrate to Treelite 4.0 (#5701) @hcho3
Use cuda::proclaim_return_type on device lambdas. (#5696) @bdice
move _process_generic to base_return_types, avoid circular import (#5695) @dcolinmorgan
Switch to scikit-build-core (#5693) @vyasr
Fix all deprecated function calls in TUs where warnings are errors (#5692) @vyasr
Remove CUML_BUILD_WHEELS and standardize Python builds (#5689) @vyasr
Forward-merge branch-23.12 to branch-24.02 (#5657) @bdice
Add cuML devcontainers (#5568) @trxcllnt

cuml - [NIGHTLY] v24.04.00

Published by rapids-bot[bot] 9 months ago

🔗 Links

🐛 Bug Fixes

Use cudf.Index instead of cudf.GenericIndex. (#5738) @bdice
update RAPIDS dependencies to 24.4, refactor dependencies.yaml (#5726) @jameslamb

🛠️ Improvements

Forward-merge branch-24.02 to branch-24.04 (#5735) @bdice

cuml - v23.12.00

Published by raydouglass 11 months ago

🚨 Breaking Changes

[LogisticRegressionMG] Support sparse vectors (#5632) @lijinf2

🐛 Bug Fixes

Update actions/labeler to v4 (#5686) @raydouglass
updated docs around make_column_transformer change from .preprocessing to .compose (#5680) @taureandyernv
Skip dask pytest NN hang in CUDA 11.4 CI (#5665) @dantegd
Avoid hard import of sklearn in base module. (#5663) @csadorf
CI: Pin clang-tidy to 15.0.7. (#5661) @csadorf
Adjust assumption regarding valid cudf.Series dimensional input. (#5654) @csadorf
Flatten cupy array before feeding to cudf.Series (#5651) @vyasr
CI: Fix expected ValueError and dask-glm incompatibility (#5644) @csadorf
Use drop_duplicates instead of unique for cudf's pandas compatibility mode (#5639) @vyasr
Temporarily avoid pydata-sphinx-theme version 0.14.2. (#5629) @csadorf
Fix type hint in split function. (#5625) @trivialfis
Fix trying to get pointer to None in svm/linear.pyx (#5615) @yosider
Reduce parallelism to avoid OOMs in wheel tests (#5611) @vyasr

📖 Documentation

Update interoperability docs (#5633) @beckernick
Update instructions for creating a conda build environment (#5628) @csadorf

🚀 New Features

Basic implementation of OrdinalEncoder. (#5646) @trivialfis

🛠️ Improvements

Build concurrency for nightly and merge triggers (#5658) @bdice
[LogisticRegressionMG][FEA] Support training when dataset contains only one class (#5655) @lijinf2
Use new rapids-dask-dependency metapackage for managing dask versions (#5649) @galipremsagar
Simplify some logic in LabelEncoder (#5648) @vyasr
Increase Nanny close timeout in LocalCUDACluster tests (#5636) @pentschev
[LogisticRegressionMG] Support sparse vectors (#5632) @lijinf2
Add rich HTML representation to estimators (#5630) @betatim
Unpin dask and distributed for 23.12 development (#5627) @galipremsagar
Update shared-action-workflows references (#5621) @AyodeAwe
Use branch-23.12 workflows. (#5618) @bdice
Update rapids-cmake functions to non-deprecated signatures (#5616) @robertmaynard
Allow nightly dependencies and set up consistent nightly versions for conda and pip packages (#5607) @vyasr
Forward-merge branch-23.10 to branch-23.12 (#5596) @bdice
Build CUDA 12.0 ARM conda packages. (#5595) @bdice
Enable multiclass svm for sparse input (#5588) @mfoerste4

cuml - [NIGHTLY] v24.02.00

Published by rapids-bot[bot] 11 months ago

🔗 Links

🛠️ Improvements

Fix all deprecated function calls in TUs where warnings are errors (#5692) @vyasr
Remove CUML_BUILD_WHEELS and standardize Python builds (#5689) @vyasr
Forward-merge branch-23.12 to branch-24.02 (#5657) @bdice
Add cuML devcontainers (#5568) @trxcllnt

cuml - v23.10.00

Published by raydouglass about 1 year ago

🚨 Breaking Changes

add sample_weight parameter to dbscan.fit (#5574) @mfoerste4
Update to Cython 3.0.0 (#5506) @vyasr

🐛 Bug Fixes

Fix accidental unsafe cupy import (#5613) @dantegd
Fixes for CPU package (#5599) @dantegd
Fixes for timeouts in tests (#5598) @dantegd

🚀 New Features

Enable cuml-cpu nightly (#5585) @dantegd
add sample_weight parameter to dbscan.fit (#5574) @mfoerste4

🛠️ Improvements

cuml-cpu notebook, docs and cluster models (#5597) @dantegd
Pin dask and distributed for 23.10 release (#5592) @galipremsagar
Add changes for early experimental support for dataframe interchange protocol API (#5591) @dantegd
[FEA] Support L1 regularization and ElasticNet in MNMG Dask LogisticRegression (#5587) @lijinf2
Update image names (#5586) @AyodeAwe
Update to clang 16.0.6. (#5583) @bdice
Upgrade to Treelite 3.9.1 (#5581) @hcho3
Update to doxygen 1.9.1. (#5580) @bdice
[REVIEW] Adding a few of datasets for benchmarking (#5573) @vinaydes
Allow cuML MNMG estimators to be serialized (#5571) @viclafargue
[FEA] Support multiple classes in multi-node-multi-gpu logistic regression, from C++, Cython, to Dask Python class (#5565) @lijinf2
Use copy-pr-bot (#5563) @ajschmidt8
Unblock CI for branch-23.10 (#5561) @csadorf
Fix CPU-only build for new FIL (#5559) @hcho3
[FEA] Support no regularization in MNMG LogisticRegression (#5558) @lijinf2
Unpin dask and distributed for 23.10 development (#5557) @galipremsagar
Branch 23.10 merge 23.08 (#5547) @vyasr
Use Python builtins to prep benchmark tmp_dir (#5537) @jakirkham
Branch 23.10 merge 23.08 (#5522) @vyasr
Update to Cython 3.0.0 (#5506) @vyasr

cuml - [NIGHTLY] v23.12.00

Published by rapids-bot[bot] about 1 year ago

🔗 Links

🐛 Bug Fixes

Temporarily avoid pydata-sphinx-theme version 0.14.2. (#5629) @csadorf
Fix type hint in split function. (#5625) @trivialfis
Reduce parallelism to avoid OOMs in wheel tests (#5611) @vyasr

🛠️ Improvements

Update shared-action-workflows references (#5621) @AyodeAwe
Use branch-23.12 workflows. (#5618) @bdice
Update rapids-cmake functions to non-deprecated signatures (#5616) @robertmaynard
Forward-merge branch-23.10 to branch-23.12 (#5596) @bdice
Build CUDA 12.0 ARM conda packages. (#5595) @bdice

cuml - v23.08.00

Published by raydouglass about 1 year ago

🚨 Breaking Changes

Stop using setup.py in build.sh (#5500) @vyasr
Add copy_X parameter to LinearRegression (#5495) @viclafargue

🐛 Bug Fixes

Update dependencies.yaml test_notebooks to include dask_ml (#5545) @taureandyernv
Fix cython-lint issues. (#5536) @bdice
Skip rf_memleak tests (#5529) @dantegd
Pin hdbscan to fix pytests in CI (#5515) @dantegd
Fix UMAP and simplicial set functions metric (#5490) @viclafargue
Fix test_masked_column_mode (#5480) @viclafargue
Use fit_predict rather than fit for KNeighborsClassifier and KNeighborsRegressor in benchmark utility (#5460) @beckernick
Modify HDBSCAN membership_vector batch_size check (#5455) @tarang-jain

🚀 New Features

Use rapids-cmake testing to run tests in parallel (#5487) @robertmaynard
[FEA] Update MST Reduction Op (#5386) @tarang-jain
cuml: Build CUDA 12 packages (#5318) @vyasr
CI: Add custom GitHub Actions job to run clang-tidy (#5235) @csadorf

🛠️ Improvements

Pin dask and distributed for 23.08 release (#5541) @galipremsagar
Remove Dockerfile. (#5534) @bdice
Improve temporary directory handling in cuML (#5527) @jakirkham
Support init arguments in MNMG LogisticRegression (#5519) @lijinf2
Support predict in MNMG Logistic Regression (#5516) @lijinf2
Remove unused matrix.cuh and math.cuh headers to eliminate deprecation warnings. (#5513) @bdice
Update gputreeshap to use rapids-cmake. (#5512) @bdice
Remove raft specializations includes. (#5509) @bdice
Revert CUDA 12.0 CI workflows to branch-23.08. (#5508) @bdice
Enable wheels CI scripts to run locally (#5507) @divyegala
Default to nproc for PARALLEL_LEVEL in build.sh. (#5505) @csadorf
Fixed potential overflows in SVM, minor adjustments to nvtx ranges (#5504) @mfoerste4
Stop using setup.py in build.sh (#5500) @vyasr
Fix PCA test (#5498) @viclafargue
Update build dependencies (#5496) @csadorf
Add copy_X parameter to LinearRegression (#5495) @viclafargue
Sparse pca patch (#5493) @Intron7
Restrict HDBSCAN metric options to L2 #5415 (#5492) @Rvch7
Fix typos. (#5481) @bdice
Add multi-node-multi-gpu Logistic Regression in C++ (#5477) @lijinf2
Add missing stream argument to cub calls in workingset (#5476) @mfoerste4
Update to CMake 3.26.4 (#5464) @vyasr
use rapids-upload-docs script (#5457) @AyodeAwe
Unpin dask and distributed for development (#5452) @galipremsagar
Remove documentation build scripts for Jenkins (#5450) @ajschmidt8
Fix update version and pinnings for 23.08. (#5440) @bdice
Add cython-lint configuration. (#5439) @bdice
Unpin scikit-build upper bound (#5438) @vyasr
Fix some deprecation warnings in tests. (#5436) @bdice
Update raft::sparse::distance::pairwise_distance to new API (#5428) @divyegala

cuml - [NIGHTLY] v23.10.00

Published by rapids-bot[bot] about 1 year ago

🔗 Links

🚨 Breaking Changes

Update to Cython 3.0.0 (#5506) @vyasr

🛠️ Improvements

Update to clang 16.0.6. (#5583) @bdice
Upgrade to Treelite 3.9.1 (#5581) @hcho3
Update to doxygen 1.9.1. (#5580) @bdice
[REVIEW] Adding a few of datasets for benchmarking (#5573) @vinaydes
Use copy-pr-bot (#5563) @ajschmidt8
Unblock CI for branch-23.10 (#5561) @csadorf
Fix CPU-only build for new FIL (#5559) @hcho3
[FEA] Support no regularization in MNMG LogisticRegression (#5558) @lijinf2
Unpin dask and distributed for 23.10 development (#5557) @galipremsagar
Branch 23.10 merge 23.08 (#5547) @vyasr
Use Python builtins to prep benchmark tmp_dir (#5537) @jakirkham
Branch 23.10 merge 23.08 (#5522) @vyasr
Update to Cython 3.0.0 (#5506) @vyasr

cuml - v23.06.00

Published by raydouglass over 1 year ago

🚨 Breaking Changes

Dropping Python 3.8 (#5385) @divyegala
Support sparse input for SVC and SVR (#5273) @mfoerste4

🐛 Bug Fixes

Fix for umap-pytest issue in Rocky8 and wheels in GHA nightly tests (#5458) @dantegd
Fixes for nightly GHA runs (#5446) @dantegd
Add missing RAFT cusolver_macros import and changes for recent cuDF updates (#5434) @dantegd
Fix kmeans pytest to correctly compute fp output error (#5426) @mdoijade
Add missing raft/matrix/matrix.cuh include (#5411) @benfred
Fix path to cumlprims_mg in build workflow (#5406) @divyegala
Fix path to cumlprims in build workflow (#5405) @vyasr
Pin to scikit-build<17.2 (#5400) @vyasr
Fix forward merge #5383 (#5384) @dantegd
Correct buffer move assignment in experimental FIL (#5372) @wphicks
Avoid invalid memory access in experimental FIL for large output size (#5365) @wphicks
Fix forward merge #5336 (#5345) @dantegd

📖 Documentation

Fix HDBSCAN docs and add membership_vector to cuml.cluster.hdbscan namespace (#5378) @beckernick
Small doc fix (#5375) @tarang-jain

🚀 New Features

Provide method for auto-optimization of FIL parameters (#5368) @wphicks

🛠️ Improvements

Fix documentation source code links (#5449) @ajschmidt8
Drop seaborn dependency. (#5437) @bdice
Make all nvtx usage go through safe imports (#5424) @dantegd
run docs nightly too (#5423) @AyodeAwe
Switch back to using primary shared-action-workflows branch (#5420) @vyasr
Add librmm to libcuml dependencies. (#5410) @bdice
Update recipes to GTest version >=1.13.0 (#5408) @bdice
Remove cudf from libcuml meta.yaml (#5407) @divyegala
Support CUDA 12.0 for pip wheels (#5404) @divyegala
Support for gtest 1.11+ changes (#5403) @dantegd
Update cupy dependency (#5401) @vyasr
Build wheels using new single image workflow (#5394) @vyasr
Revert shared-action-workflows pin (#5391) @divyegala
Fix logic for concatenating Treelite objects (#5387) @hcho3
Dropping Python 3.8 (#5385) @divyegala
Remove usage of rapids-get-rapids-version-from-git (#5379) @jjacobelli
[ENH] Add missing includes of rmm/mr/device/per_device_resource.hpp (#5369) @ahendriksen
Remove wheel pytest verbosity (#5367) @sevagh
support parameter 'class_weight' and method 'decision_function' in LinearSVC (#5364) @mfoerste4
Update clang-format to 16.0.1. (#5361) @bdice
Implement apply() in FIL (#5358) @hcho3
Use ARC V2 self-hosted runners for GPU jobs (#5356) @jjacobelli
Try running silhouette test (#5353) @vyasr
Remove uses-setup-env-vars (#5344) @vyasr
Resolve auto-merger conflicts between branch-23.04 & branch-23.06 (#5340) @galipremsagar
Solve merge conflict of PR #5327 (#5329) @dantegd
Branch 23.06 merge 23.04 (#5315) @vyasr
Support sparse input for SVC and SVR (#5273) @mfoerste4
Delete outdated versions.json. (#5229) @bdice

cuml - v23.04.00

Published by raydouglass over 1 year ago

🚨 Breaking Changes

Pin dask and distributed for release (#5333) @galipremsagar

🐛 Bug Fixes

Skip pickle notebook during nbsphinx (#5342) @dantegd
Avoid race condition in FIL predict_per_tree (#5334) @wphicks
Ensure experimental FIL shmem usage is below device limits (#5326) @wphicks
Update cuda architectures for threads per sm restriction (#5323) @wphicks
Run experimental FIL tests in CI (#5316) @wphicks
Run memory leak pytests without parallelism to avoid sporadic test failures (#5313) @dantegd
Update cupy version for pip wheels (#5311) @dantegd
Fix for raising attributeerors erroneously for ipython methods (#5299) @dantegd
Fix cuml local cpp docs build (#5297) @galipremsagar
Don't run dask tests twice when testing wheels (#5279) @benfred
Remove MANIFEST.in use auto-generated one for sdists and package_data for wheels (#5278) @vyasr
Removing remaining include of raft/distance/distance_type.hpp (#5264) @cjnolet
Enable hypothesis testing for nightly test runs. (#5244) @csadorf
Support numeric, boolean, and string keyword arguments to class methods during CPU dispatching (#5236) @beckernick
Allowing large data in kmeans (#5228) @cjnolet

📖 Documentation

Fix docs build to be pydata-sphinx-theme=0.13.0 compatible (#5259) @galipremsagar
Add supported CPU/GPU operators to API docs and update docstrings (#5239) @beckernick
Fix documentation author (#5126) @bdice

🚀 New Features

Modify default batch size in HDBSCAN soft clustering (#5335) @tarang-jain
reduce memory pressure in membership vector computation (#5268) @tarang-jain
membership_vector for HDBSCAN (#5247) @tarang-jain
Provide FIL implementation for both CPU and GPU (#4890) @wphicks

🛠️ Improvements

Remove deprecated Treelite CI API from FIL (#5348) @hcho3
Updated forest inference to new dask worker api for 23.04 (#5347) @taureandyernv
Pin dask and distributed for release (#5333) @galipremsagar
Pin cupy in wheel tests to supported versions (#5312) @vyasr
Drop pickle5 (#5310) @jakirkham
Remove CUDA_CHECK macro (#5308) @hcho3
Revert faiss removal pinned tag (#5306) @cjnolet
Upgrade to Treelite 3.2.0 (#5304) @hcho3
Implement predict_per_tree() in FIL (#5303) @hcho3
remove faiss from cuml (#5293) @benfred
Stop setting package version attribute in wheels (#5285) @vyasr
Add libfaiss runtime dependency to libcuml. (#5284) @bdice
Move faiss_mr from raft (#5281) @benfred
Generate pyproject dependencies with dfg (#5275) @vyasr
Updating cuML to use consolidated RAFT libs (#5272) @cjnolet
Add codespell as a linter (#5265) @benfred
Pass AWS_SESSION_TOKEN and SCCACHE_S3_USE_SSL vars to conda build (#5263) @ajschmidt8
Update to GCC 11 (#5258) @bdice
Drop Python 3.7 handling for pickle protocol 4 (#5256) @jakirkham
Migrate as much as possible to pyproject.toml (#5251) @vyasr
Adapt to rapidsai/rmm#1221 which moves allocator callbacks (#5249) @wence-
Add dfg as a pre-commit hook. (#5246) @vyasr
Stop using versioneer to manage versions (#5245) @vyasr
Enhance cuML benchmark utility and refactor hdbscan import utilities (#5242) @beckernick
Fix GHA build workflow (#5241) @AjayThorve
Support innerproduct distance in the pairwise_distance API (#5230) @benfred
Enable hypothesis for 23.04 (#5221) @csadorf
Reduce error handling verbosity in CI tests scripts (#5219) @AjayThorve
Bump pinned pip wheel deps to 23.4 (#5217) @sevagh
Update shared workflow branches (#5215) @ajschmidt8
Unpin dask and distributed for development (#5209) @galipremsagar
Remove gpuCI scripts. (#5208) @bdice
Move date to build string in conda recipe (#5190) @ajschmidt8
Kernel shap improvements (#5187) @vinaydes
test out the raft bfknn replacement (#5186) @benfred
Forward merge 23.02 into 23.04 (#5182) @vyasr
Add detail namespace for linear models (#5107) @lowener
Add pre-commit configuration (#4983) @csadorf

cuml - [NIGHTLY] v22.10.00

Published by rapids-bot[bot] over 1 year ago

🔗 Links

🐛 Bug Fixes

Skipping some hdbscan tests when cuda version is <= 11.2. (#4916) @cjnolet
Fix HDBSCAN python namespace (#4895) @cjnolet
Cupy 11 fixes (#4889) @dantegd
Fix small fp precision failure in linear regression doctest test (#4884) @lowener
Remove unused cuDF imports (#4873) @beckernick
Update for thrust 1.17 and fixes to accommodate for cuDF Buffer refactor (#4871) @dantegd
Use rapids-cmake 22.10 best practice for RAPIDS.cmake location (#4862) @robertmaynard
Patch for nightly test&bench (#4840) @viclafargue
Fixed Large memory requirements for SimpleImputer strategy median #4794 (#4817) @erikrene
Transforms RandomForest estimators non-consecutive labels to consecutive labels where appropriate (#4780) @VamsiTallam95

📖 Documentation

Document that minimum required CMake version is now 3.23.1 (#4899) @robertmaynard
Update KMeans notebook for clarity (#4886) @beckernick

🚀 New Features

Allow cupy 11 (#4880) @galipremsagar
Add sample_weight to Coordinate Descent solver (Lasso and ElasticNet) (#4867) @lowener
Import treelite models into FIL in a different precision (#4839) @canonizer
#4783 Added nan_euclidean distance metric to pairwise_distances (#4797) @SreekiranprasadV
PowerTransformer, QuantileTransformer and KernelCenterer (#4755) @viclafargue
Add "median" to TargetEncoder (#4722) @daxiongshu
New Feature StratifiedKFold (#3109) @daxiongshu

🛠️ Improvements

Update cuda-python dependency to 11.7.1 (#4948) @shwina
Updating python to use pylibraft (#4887) @cjnolet
Upgrade Treelite to 3.0.0 (#4885) @hcho3
Statically link all CUDA toolkit libraries (#4881) @trxcllnt
approximate_predict function for HDBSCAN (#4872) @tarang-jain
Pin dask and distributed for release (#4859) @galipremsagar
Remove Raft deprecated headers (#4858) @lowener
Fix forward-merge conflicts (#4857) @ajschmidt8
Update the NVTX bench helper for the new nsys utility (#4826) @viclafargue
All points membership vector for HDBSCAN (#4800) @tarang-jain
TSNE and UMAP allow several distance types (#4779) @tarang-jain
Convert fp32 datasets to fp64 in ARIMA and AutoARIMA + update notebook to avoid deprecation warnings with positional parameters (#4195) @Nyrio

cuml - [NIGHTLY] v23.02.00

Published by rapids-bot[bot] over 1 year ago

🔗 Links

🚨 Breaking Changes

Use ivf_pq and ivf_flat from raft (#5119) @benfred
Estimators adaptation toward CPU/GPU interoperability (#4918) @viclafargue
Provide host CumlArray and associated infrastructure (#4908) @wphicks
Improvements of UMAP/TSNE precomputed KNN feature (#4865) @viclafargue

🐛 Bug Fixes

Fix for creation of CUDA context at import time (#5211) @dantegd
Correct arguments to load_from_treelite_model after classmethod conversion (#5210) @wphicks
Use workaround to avoid staticmethod 3.10/Cython issue (#5202) @wphicks
Increase margin for flaky FIL test (#5194) @wphicks
Increase margin for flaky FIL test (#5174) @wphicks
Fix gather_if raft update (#5149) @lowener
Add _predict_model_on_cpu for RandomForestClassifier (#5148) @lowener
Fix for hdbscan model serialization (#5128) @cjnolet
build.sh switch to use RAPIDS magic value (#5124) @robertmaynard
Fix Lasso interop issue (#5116) @viclafargue
Remove nvcc conda package and add compiler/ninja to dev envs (#5113) @dantegd
Add missing job dependency for new PR jobs check (#5112) @dantegd
Skip RAFT docstring test in cuML (#5088) @dantegd
Restore KNN metric attribute (#5087) @viclafargue
Check sklearn presence before importing the Pipeline (#5072) @viclafargue
Provide workaround for kernel ridge solver (#5064) @wphicks
Keep verbosity level in KMeans OPG (#5063) @viclafargue
Transmit verbosity level to Dask workers (#5062) @viclafargue
Ensure consistent order for nearest neighbor tests (#5059) @wphicks
Add workers argument to dask make_blobs (#5057) @viclafargue
Fix indexing type for ridge and linear models (#4996) @lowener

📖 Documentation

Adding benchmark notebook for hdbscan soft clustering (#5103) @cjnolet
Fix doc for solver in LogisticRegression (#5097) @viclafargue
Fix docstring of HashingVectorizer (#5041) @lowener
expose text, text.{CountVectorizer,HashingVectorizer,Tfidf{Transformer,Vectorizer}} from feature_extraction's public api (#5028) @mattf
Add Dask LabelEncoder to the documentation (#5023) @beckernick

🚀 New Features

HDBSCAN CPU/GPU Interop (#5137) @divyegala
Make all CPU/GPU only imports "safe" for respective package (#5117) @wphicks
Pickling for HBDSCAN (#5102) @divyegala
Break up silhouette score into 3 units to improve compilation time (#5061) @wphicks
Provide host CumlArray and associated infrastructure (#4908) @wphicks

🛠️ Improvements

Pin dask and distributed for release (#5198) @galipremsagar
Update shared workflow branches (#5197) @ajschmidt8
Pin wheel dependencies to same RAPIDS release (#5183) @sevagh
Reverting RAFT pin (#5178) @cjnolet
Remove faiss from libcuml (#5175) @ajschmidt8
Update location of import_utils from common to internals for Forest notebook (#5171) @taureandyernv
Disable hypothesis tests for 23.02 burndown. (#5168) @csadorf
Use CTK 118/cp310 branch of wheel workflows (#5163) @sevagh
Add docs build GH (#5155) @AjayThorve
Adapt to changes in cudf.core.buffer.Buffer (#5154) @galipremsagar
Upgrade Treelite to 3.1.0 (#5146) @hcho3
Replace cpdef variables with cdef variables. (#5145) @bdice
Update Scikit-learn compatibility to 1.2 (#5141) @dantegd
Replace deprecated raft headers (#5134) @lowener
Execution device interoperability documentation (#5130) @viclafargue
Remove outdated macOS deployment target from build script. (#5125) @bdice
Build CUDA 11.8 and Python 3.10 Packages (#5120) @bdice
Use ivf_pq and ivf_flat from raft (#5119) @benfred
Update workflows for nightly tests (#5110) @ajschmidt8
Build pip wheels alongside conda CI (#5109) @sevagh
Remove PROJECT_FLASH from libcuml conda build environment. (#5108) @bdice
Enable Recently Updated Check (#5105) @ajschmidt8
Ensure pytest is run from relevant directories in GH Actions (#5101) @ajschmidt8
Remove C++ Kmeans test (#5098) @lowener
Slightly lower the test_mbsgd_regressor expected min score. (#5092) @csadorf
Skip all hypothesis health checks by default in CI runs. (#5090) @csadorf
Reduce Naive Bayes test time (#5082) @lowener
Remove unused .conda folder (#5078) @ajschmidt8
Fix conflicts in #5045 (#5077) @ajschmidt8
Add GitHub Actions Workflows (#5075) @csadorf
Skip test_linear_regression_model_default test. (#5074) @csadorf
Fix link. (#5067) @bdice
Expand hypothesis testing for linear models (#5065) @csadorf
Update xgb version in GPU CI 23.02 to 1.7.1 and unblocking CI (#5051) @dantegd
Remove direct UCX and NCCL dependencies (#5038) @vyasr
Move single test from test to tests (#5037) @vyasr
Support using CountVectorizer & TfidVectorizer in cuml.pipeline.Pipeline (#5034) @lasse-it
Refactor API decorators (#5026) @csadorf
Implement hypothesis strategies and tests for arrays (#5017) @csadorf
Add dependencies.yaml for rapids-dependency-file-generator (#5003) @beckernick
Improved CPU/GPU interoperability (#5001) @viclafargue
Estimators adaptation toward CPU/GPU interoperability (#4918) @viclafargue
Improvements of UMAP/TSNE precomputed KNN feature (#4865) @viclafargue

cuml - v23.02.00

Published by raydouglass over 1 year ago

🚨 Breaking Changes

Use ivf_pq and ivf_flat from raft (#5119) @benfred
Estimators adaptation toward CPU/GPU interoperability (#4918) @viclafargue
Provide host CumlArray and associated infrastructure (#4908) @wphicks
Improvements of UMAP/TSNE precomputed KNN feature (#4865) @viclafargue

🐛 Bug Fixes

Fix for creation of CUDA context at import time (#5211) @dantegd
Correct arguments to load_from_treelite_model after classmethod conversion (#5210) @wphicks
Use workaround to avoid staticmethod 3.10/Cython issue (#5202) @wphicks
Increase margin for flaky FIL test (#5194) @wphicks
Increase margin for flaky FIL test (#5174) @wphicks
Fix gather_if raft update (#5149) @lowener
Add _predict_model_on_cpu for RandomForestClassifier (#5148) @lowener
Fix for hdbscan model serialization (#5128) @cjnolet
build.sh switch to use RAPIDS magic value (#5124) @robertmaynard
Fix Lasso interop issue (#5116) @viclafargue
Remove nvcc conda package and add compiler/ninja to dev envs (#5113) @dantegd
Add missing job dependency for new PR jobs check (#5112) @dantegd
Skip RAFT docstring test in cuML (#5088) @dantegd
Restore KNN metric attribute (#5087) @viclafargue
Check sklearn presence before importing the Pipeline (#5072) @viclafargue
Provide workaround for kernel ridge solver (#5064) @wphicks
Keep verbosity level in KMeans OPG (#5063) @viclafargue
Transmit verbosity level to Dask workers (#5062) @viclafargue
Ensure consistent order for nearest neighbor tests (#5059) @wphicks
Add workers argument to dask make_blobs (#5057) @viclafargue
Fix indexing type for ridge and linear models (#4996) @lowener

📖 Documentation

Adding benchmark notebook for hdbscan soft clustering (#5103) @cjnolet
Fix doc for solver in LogisticRegression (#5097) @viclafargue
Fix docstring of HashingVectorizer (#5041) @lowener
expose text, text.{CountVectorizer,HashingVectorizer,Tfidf{Transformer,Vectorizer}} from feature_extraction's public api (#5028) @mattf
Add Dask LabelEncoder to the documentation (#5023) @beckernick

🚀 New Features

HDBSCAN CPU/GPU Interop (#5137) @divyegala
Make all CPU/GPU only imports "safe" for respective package (#5117) @wphicks
Pickling for HBDSCAN (#5102) @divyegala
Break up silhouette score into 3 units to improve compilation time (#5061) @wphicks
Provide host CumlArray and associated infrastructure (#4908) @wphicks

🛠️ Improvements

Pin dask and distributed for release (#5198) @galipremsagar
Update shared workflow branches (#5197) @ajschmidt8
Pin wheel dependencies to same RAPIDS release (#5183) @sevagh
Reverting RAFT pin (#5178) @cjnolet
Remove faiss from libcuml (#5175) @ajschmidt8
Update location of import_utils from common to internals for Forest notebook (#5171) @taureandyernv
Disable hypothesis tests for 23.02 burndown. (#5168) @csadorf
Use CTK 118/cp310 branch of wheel workflows (#5163) @sevagh
Add docs build GH (#5155) @AjayThorve
Adapt to changes in cudf.core.buffer.Buffer (#5154) @galipremsagar
Upgrade Treelite to 3.1.0 (#5146) @hcho3
Replace cpdef variables with cdef variables. (#5145) @bdice
Update Scikit-learn compatibility to 1.2 (#5141) @dantegd
Replace deprecated raft headers (#5134) @lowener
Execution device interoperability documentation (#5130) @viclafargue
Remove outdated macOS deployment target from build script. (#5125) @bdice
Build CUDA 11.8 and Python 3.10 Packages (#5120) @bdice
Use ivf_pq and ivf_flat from raft (#5119) @benfred
Update workflows for nightly tests (#5110) @ajschmidt8
Build pip wheels alongside conda CI (#5109) @sevagh
Remove PROJECT_FLASH from libcuml conda build environment. (#5108) @bdice
Enable Recently Updated Check (#5105) @ajschmidt8
Ensure pytest is run from relevant directories in GH Actions (#5101) @ajschmidt8
Remove C++ Kmeans test (#5098) @lowener
Slightly lower the test_mbsgd_regressor expected min score. (#5092) @csadorf
Skip all hypothesis health checks by default in CI runs. (#5090) @csadorf
Reduce Naive Bayes test time (#5082) @lowener
Remove unused .conda folder (#5078) @ajschmidt8
Fix conflicts in #5045 (#5077) @ajschmidt8
Add GitHub Actions Workflows (#5075) @csadorf
Skip test_linear_regression_model_default test. (#5074) @csadorf
Fix link. (#5067) @bdice
Expand hypothesis testing for linear models (#5065) @csadorf
Update xgb version in GPU CI 23.02 to 1.7.1 and unblocking CI (#5051) @dantegd
Remove direct UCX and NCCL dependencies (#5038) @vyasr
Move single test from test to tests (#5037) @vyasr
Support using CountVectorizer & TfidVectorizer in cuml.pipeline.Pipeline (#5034) @lasse-it
Refactor API decorators (#5026) @csadorf
Implement hypothesis strategies and tests for arrays (#5017) @csadorf
Add dependencies.yaml for rapids-dependency-file-generator (#5003) @beckernick
Improved CPU/GPU interoperability (#5001) @viclafargue
Estimators adaptation toward CPU/GPU interoperability (#4918) @viclafargue
Improvements of UMAP/TSNE precomputed KNN feature (#4865) @viclafargue

cuml - [NIGHTLY] v22.12.00

Published by rapids-bot[bot] almost 2 years ago

🔗 Links

🚨 Breaking Changes

Change docs theme to pydata-sphinx theme (#4985) @galipremsagar
Remove "Open In Colab" link from Estimator Intro notebook. (#4980) @bdice
Remove CumlArray.copy() (#4958) @madsbk

🐛 Bug Fixes

Backport "Don't initialize CUDA context if RAPIDS_NO_INITIALIZE env variable is set" (#5069) @dantegd
Remove cupy.cusparse custom serialization (#5024) @dantegd
Restore LinearRegression documentation (#5020) @viclafargue
Don't use CMake 3.25.0 as it has a FindCUDAToolkit show stopping bug (#5007) @robertmaynard
verifying cusparse wrapper revert passes CI (#4990) @cjnolet
Use rapdsi_cpm_find(COMPONENTS ) for proper component tracking (#4989) @robertmaynard
Fix integer overflow in AutoARIMA due to bool-to-int cub scan (#4971) @Nyrio
Add missing includes (#4947) @vyasr
Fix the CMake option for disabling deprecation warnings. (#4946) @vyasr
Make doctest resilient to changes in cupy reprs (#4945) @vyasr
Assign python/ sub-directory to python-codeowners (#4940) @csadorf
Fix for non-contiguous strides (#4736) @viclafargue

📖 Documentation

Change docs theme to pydata-sphinx theme (#4985) @galipremsagar
Remove "Open In Colab" link from Estimator Intro notebook. (#4980) @bdice
Updating build instructions (#4979) @cjnolet

🚀 New Features

Reenable copy_prs. (#5010) @vyasr
Add wheel builds (#5009) @vyasr
LinearRegression: add support for multiple targets (#4988) @ahendriksen
CPU/GPU interoperability POC (#4874) @viclafargue

🛠️ Improvements

Upgrade Treelite to 3.0.1 (#5018) @hcho3
fix addition of nan_euclidean_distances to public api (#5015) @mattf
Fixing raft pin to 22.12 (#5000) @cjnolet
Pin dask and distributed for release (#4999) @galipremsagar
Update dask nightly install command in CI (#4978) @galipremsagar
Improve error message for array_equal asserts. (#4973) @csadorf
Use new rapids-cmake functionality for rpath handling. (#4966) @vyasr
Impl. CumlArray.deserialize() (#4965) @madsbk
Update cuda-python dependency to 11.7.1 (#4961) @galipremsagar
Add check for nsys utility version in the nvtx_benchmarks.py script (#4959) @viclafargue
Remove CumlArray.copy() (#4958) @madsbk
Implement hypothesis-based tests for linear models (#4952) @csadorf
Switch to using rapids-cmake for gbench. (#4950) @vyasr
Remove stale labeler (#4949) @raydouglass
Fix url in python/setup.py setuptools metadata. (#4937) @csadorf
Updates to fix cuml build (#4928) @cjnolet
Documenting hdbscan module to add prediction functions (#4925) @cjnolet
Unpin dask and distributed for development (#4912) @galipremsagar
Use KMeans from Raft (#4713) @lowener
Update cuml raft header extensions (#4599) @cjnolet
Reconciling primitives moved to RAFT (#4583) @cjnolet

cuml - v22.12.00

Published by GPUtester almost 2 years ago

🚨 Breaking Changes

Change docs theme to pydata-sphinx theme (#4985) @galipremsagar
Remove "Open In Colab" link from Estimator Intro notebook. (#4980) @bdice
Remove CumlArray.copy() (#4958) @madsbk

🐛 Bug Fixes

Remove cupy.cusparse custom serialization (#5024) @dantegd
Restore LinearRegression documentation (#5020) @viclafargue
Don't use CMake 3.25.0 as it has a FindCUDAToolkit show stopping bug (#5007) @robertmaynard
verifying cusparse wrapper revert passes CI (#4990) @cjnolet
Use rapdsi_cpm_find(COMPONENTS ) for proper component tracking (#4989) @robertmaynard
Fix integer overflow in AutoARIMA due to bool-to-int cub scan (#4971) @Nyrio
Add missing includes (#4947) @vyasr
Fix the CMake option for disabling deprecation warnings. (#4946) @vyasr
Make doctest resilient to changes in cupy reprs (#4945) @vyasr
Assign python/ sub-directory to python-codeowners (#4940) @csadorf
Fix for non-contiguous strides (#4736) @viclafargue

📖 Documentation

Change docs theme to pydata-sphinx theme (#4985) @galipremsagar
Remove "Open In Colab" link from Estimator Intro notebook. (#4980) @bdice
Updating build instructions (#4979) @cjnolet

🚀 New Features

Reenable copy_prs. (#5010) @vyasr
Add wheel builds (#5009) @vyasr
LinearRegression: add support for multiple targets (#4988) @ahendriksen
CPU/GPU interoperability POC (#4874) @viclafargue

🛠️ Improvements

Upgrade Treelite to 3.0.1 (#5018) @hcho3
fix addition of nan_euclidean_distances to public api (#5015) @mattf
Fixing raft pin to 22.12 (#5000) @cjnolet
Pin dask and distributed for release (#4999) @galipremsagar
Update dask nightly install command in CI (#4978) @galipremsagar
Improve error message for array_equal asserts. (#4973) @csadorf
Use new rapids-cmake functionality for rpath handling. (#4966) @vyasr
Impl. CumlArray.deserialize() (#4965) @madsbk
Update cuda-python dependency to 11.7.1 (#4961) @galipremsagar
Add check for nsys utility version in the nvtx_benchmarks.py script (#4959) @viclafargue
Remove CumlArray.copy() (#4958) @madsbk
Implement hypothesis-based tests for linear models (#4952) @csadorf
Switch to using rapids-cmake for gbench. (#4950) @vyasr
Remove stale labeler (#4949) @raydouglass
Fix url in python/setup.py setuptools metadata. (#4937) @csadorf
Updates to fix cuml build (#4928) @cjnolet
Documenting hdbscan module to add prediction functions (#4925) @cjnolet
Unpin dask and distributed for development (#4912) @galipremsagar
Use KMeans from Raft (#4713) @lowener
Update cuml raft header extensions (#4599) @cjnolet
Reconciling primitives moved to RAFT (#4583) @cjnolet

cuml - v22.10.01

Published by GPUtester almost 2 years ago

🐛 Bug Fixes

Skipping some hdbscan tests when cuda version is <= 11.2. (#4916) @cjnolet
Fix HDBSCAN python namespace (#4895) @cjnolet
Cupy 11 fixes (#4889) @dantegd
Fix small fp precision failure in linear regression doctest test (#4884) @lowener
Remove unused cuDF imports (#4873) @beckernick
Update for thrust 1.17 and fixes to accommodate for cuDF Buffer refactor (#4871) @dantegd
Use rapids-cmake 22.10 best practice for RAPIDS.cmake location (#4862) @robertmaynard
Patch for nightly test&bench (#4840) @viclafargue
Fixed Large memory requirements for SimpleImputer strategy median #4794 (#4817) @erikrene
Transforms RandomForest estimators non-consecutive labels to consecutive labels where appropriate (#4780) @VamsiTallam95

📖 Documentation

Document that minimum required CMake version is now 3.23.1 (#4899) @robertmaynard
Update KMeans notebook for clarity (#4886) @beckernick

🚀 New Features

Allow cupy 11 (#4880) @galipremsagar
Add sample_weight to Coordinate Descent solver (Lasso and ElasticNet) (#4867) @lowener
Import treelite models into FIL in a different precision (#4839) @canonizer
#4783 Added nan_euclidean distance metric to pairwise_distances (#4797) @Sreekiran096
PowerTransformer, QuantileTransformer and KernelCenterer (#4755) @viclafargue
Add "median" to TargetEncoder (#4722) @daxiongshu
New Feature StratifiedKFold (#3109) @daxiongshu

🛠️ Improvements

Update cuda-python dependency to 11.7.1 (#4948) @shwina
Updating python to use pylibraft (#4887) @cjnolet
Upgrade Treelite to 3.0.0 (#4885) @hcho3
Statically link all CUDA toolkit libraries (#4881) @trxcllnt
approximate_predict function for HDBSCAN (#4872) @tarang-jain
Pin dask and distributed for release (#4859) @galipremsagar
Remove Raft deprecated headers (#4858) @lowener
Fix forward-merge conflicts (#4857) @ajschmidt8
Update the NVTX bench helper for the new nsys utility (#4826) @viclafargue
All points membership vector for HDBSCAN (#4800) @tarang-jain
TSNE and UMAP allow several distance types (#4779) @tarang-jain
Convert fp32 datasets to fp64 in ARIMA and AutoARIMA + update notebook to avoid deprecation warnings with positional parameters (#4195) @Nyrio

cuml - v22.10.00

Published by GPUtester about 2 years ago

🐛 Bug Fixes

Skipping some hdbscan tests when cuda version is <= 11.2. (#4916) @cjnolet
Fix HDBSCAN python namespace (#4895) @cjnolet
Cupy 11 fixes (#4889) @dantegd
Fix small fp precision failure in linear regression doctest test (#4884) @lowener
Remove unused cuDF imports (#4873) @beckernick
Update for thrust 1.17 and fixes to accommodate for cuDF Buffer refactor (#4871) @dantegd
Use rapids-cmake 22.10 best practice for RAPIDS.cmake location (#4862) @robertmaynard
Patch for nightly test&bench (#4840) @viclafargue
Fixed Large memory requirements for SimpleImputer strategy median #4794 (#4817) @erikrene
Transforms RandomForest estimators non-consecutive labels to consecutive labels where appropriate (#4780) @VamsiTallam95

📖 Documentation

Document that minimum required CMake version is now 3.23.1 (#4899) @robertmaynard
Update KMeans notebook for clarity (#4886) @beckernick

🚀 New Features

Allow cupy 11 (#4880) @galipremsagar
Add sample_weight to Coordinate Descent solver (Lasso and ElasticNet) (#4867) @lowener
Import treelite models into FIL in a different precision (#4839) @canonizer
#4783 Added nan_euclidean distance metric to pairwise_distances (#4797) @Sreekiran096
PowerTransformer, QuantileTransformer and KernelCenterer (#4755) @viclafargue
Add "median" to TargetEncoder (#4722) @daxiongshu
New Feature StratifiedKFold (#3109) @daxiongshu

🛠️ Improvements

Updating python to use pylibraft (#4887) @cjnolet
Upgrade Treelite to 3.0.0 (#4885) @hcho3
Statically link all CUDA toolkit libraries (#4881) @trxcllnt
approximate_predict function for HDBSCAN (#4872) @tarang-jain
Pin dask and distributed for release (#4859) @galipremsagar
Remove Raft deprecated headers (#4858) @lowener
Fix forward-merge conflicts (#4857) @ajschmidt8
Update the NVTX bench helper for the new nsys utility (#4826) @viclafargue
All points membership vector for HDBSCAN (#4800) @tarang-jain
TSNE and UMAP allow several distance types (#4779) @tarang-jain
Convert fp32 datasets to fp64 in ARIMA and AutoARIMA + update notebook to avoid deprecation warnings with positional parameters (#4195) @Nyrio

cuml - v22.08.00

Published by GPUtester about 2 years ago

🚨 Breaking Changes

Update Python build to scikit-build (#4818) @dantegd
Bump xgboost to 1.6.0 from 1.5.2 (#4777) @galipremsagar

🐛 Bug Fixes

Revert "Allow CuPy 11" (#4847) @galipremsagar
Fix RAFT_NVTX option not set (#4825) @achirkin
Fix KNN error message. (#4782) @trivialfis
Update raft pinnings in dev yml files (#4778) @galipremsagar
Bump xgboost to 1.6.0 from 1.5.2 (#4777) @galipremsagar
Fixes exception when using predict_proba on fitted Pipeline object with a ColumnTransformer step (#4774) @VamsiTallam95
Regression errors failing with mixed data type combinations (#4770) @shaswat-indian