Releases: rapidsai/cuml
Releases · rapidsai/cuml
v24.08.00
🐛 Bug Fixes
- Fixes for encoders/transformers for cudf.pandas (#5990) @dantegd
- BUG: remove sample parameter from pca call to mean (#5980) @mfoerste4
- Fix segfault and other errors in ForestInference.load_from_sklearn (#5973) @hcho3
- Rename
.devcontainer
s for CUDA 12.5 (#5967) @jakirkham - [MNT] Small NumPy 2 related fixes (#5954) @seberg
- CI Fix: use ld_preload to avoid libgomp issue on ARM jobs (#5949) @dantegd
- Fix for benchmark runner to handle parameter sweeps of multiple data types (#5938) @dantegd
- Avoid extra memory copy when using cp.concatenate in cuml.dask kmeans (#5937) @dantegd
- Assign correct
labels_
incuml.dask.kmeans
(#5931) @dantegd - Fix nightly jobs by updating hypothesis strategies to account for sklearn change (#5925) @dantegd
- Fix for SVC fit_proba not using class weights (#5912) @pablotanner
- Fix
cudf.pandas
failure ontest_convert_input_dtype
(#5885) @dantegd - Fix
cudf.pandas
failure ontest_convert_matrix_order_cuml_array
(#5882) @dantegd - Simplify cuml array (#5166) @wence-
🚀 New Features
- [FEA] Enable UMAP to build knn graph using NN Descent (#5910) @jinsolp
- Allow estimators to accept any dtype (#5888) @dantegd
🛠️ Improvements
- Add support for XGBoost UBJSON in FIL (#6009) @hcho3
- split up CUDA-suffixed dependencies in dependencies.yaml (#5974) @jameslamb
- Use workflow branch 24.08 again (#5970) @KyleFromNVIDIA
- Bump Treelite to 4.3.0 (#5968) @hcho3
- reduce memory_footprint for sparse PCA transform (#5964) @Intron7
- Build and test with CUDA 12.5.1 (#5963) @KyleFromNVIDIA
- Support int64 index type in MG sparse LogisticRegression (#5962) @lijinf2
- Add CUDA_STATIC_MATH_LIBRARIES (#5959) @KyleFromNVIDIA
- skip CMake 3.30.0 (#5956) @jameslamb
- Make
ci/run_cuml_dask_pytests.sh
environment-agnostic again (#5950) @trxcllnt - Use verify-alpha-spec hook (#5948) @KyleFromNVIDIA
- nest cuml one level deeper in python (#5944) @msarahan
- resolve dependency-file-generator warning, other rapids-build-backend followup (#5928) @jameslamb
- Adopt CI/packaging codeowners (#5923) @bdice
- Remove text builds of documentation (#5921) @vyasr
- Fix conflict of forward-merge #5905 of branch-24.06 into branch-24.08 (#5911) @dantegd
- Bump Treelite to 4.2.1 (#5908) @hcho3
- remove unnecessary 'setuptools' dependency (#5901) @jameslamb
- [FEA] PCA Initialization for TSNE (#5897) @aamijar
- Use rapids-build-backend (#5804) @KyleFromNVIDIA
[NIGHTLY] v24.10.00
🔗 Links
🐛 Bug Fixes
- Fix np.NAN to np.nan. (#6056) @bdice
- MAINT: Allow for error message to contain
np.float32(1.0)
(#6030) @seberg - Stop exporting fill_k kernel as that causes ODR violations (#6021) @robertmaynard
- Avoid cudf column APIs after cudf.Series disallows column inputs (#6019) @mroeschke
- Use HDBSCAN package pin to
0.8.38
(#5906) @divyegala
📖 Documentation
🚀 New Features
- Enable GPU
fit
and CPUtransform
in UMAP (#6032) @divyegala
🛠️ Improvements
- Fix compiler warning about signed vs unsigned ints (#6053) @hcho3
- Update rapidsai/pre-commit-hooks (#6048) @KyleFromNVIDIA
- Drop Python 3.9 support (#6040) @jameslamb
- Add use_cuda_wheels matrix entry (#6038) @KyleFromNVIDIA
- Switch debug build to RelWithDebInfo (#6033) @rongou
- Remove NumPy <2 pin (#6031) @seberg
- [FEA] UMAP API for building with batched NN Descent (#6022) @jinsolp
- Enabling CPU/GPU interop for SVM, DBSCAN and KMeans (#6020) @viclafargue
- Update pre-commit hooks (#6016) @KyleFromNVIDIA
- Improve update-version.sh (#6014) @bdice
- Use tool.scikit-build.cmake.version, set scikit-build-core minimum-version (#6012) @jameslamb
- Merge branch-24.08 into branch-24.10 (#5981) @jameslamb
- Use CUDA math wheels (#5966) @KyleFromNVIDIA
v24.06.01
🐛 Bug Fixes
- [HOTFIX] Fix import of sklearn by using cpu_only_import (#5914) @dantegd
- Fix label binarize for binary class (#5900) @jinsolp
- Fix RandomForestClassifier return type (#5896) @jinsolp
- Fix nightly CI: remove deprecated creation of columns by using explicit dtype (#5880) @dantegd
- Fix DBSCAN allocates rbc index even if deactivated (#5859) @mfoerste4
- Remove gtest from dependencies.yaml (#5854) @robertmaynard
- Support expression-based Dask Dataframe API (#5835) @rjzamora
- Mark all kernels with internal linkage (#5764) @robertmaynard
- Fix build.sh clean command (#5730) @csadorf
📖 Documentation
- Update the developer's guide with new copyright hook (#5848) @KyleFromNVIDIA
🚀 New Features
- Always use a static gtest and gbench (#5847) @robertmaynard
🛠️ Improvements
- [HOTFIX] Add compatibility of imports with multiple Scikit-learn versions (#5922) @dantegd
- Support double precision in MNMG Logistic Regression (#5898) @lijinf2
- Reduce and rename cudf.pandas integrations jobs (#5890) @dantegd
- Fix building cuml with CCCL main (#5886) @trxcllnt
- Add optional CI job for integration tests with cudf.pandas (#5881) @dantegd
- Enable pytest failures on FutureWarnings/DeprecationWarnings (#5877) @mroeschke
- Remove return in test_lbfgs (#5875) @mroeschke
- Avoid dask_cudf.core imports (#5874) @bdice
- Support CPU object for
train_test_split
(#5873) @isVoid - Only use functions in the limited API (#5871) @vyasr
- Replace deprecated disutils.version with packaging.version (#5868) @mroeschke
- Adjust deprecated cupy.sparse usage (#5867) @mroeschke
- Fix numpy 2.0 deprecations (#5866) @mroeschke
- Fix deprecated positional arg usage (#5865) @mroeschke
- Use int instead of float in random.randint (#5864) @mroeschke
- Migrate to
{{ stdlib("c") }}
(#5863) @hcho3 - Avoid deprecated API in notebook (#5862) @rjzamora
- Add dedicated handling for cudf.pandas wrapped Numpy arrays (#5861) @betatim
- Prepend devcontainer name with the username (#5860) @trxcllnt
- add --rm and --name to devcontainer run args (#5857) @trxcllnt
- Update pip devcontainers to UCX v1.15.0 (#5856) @trxcllnt
- Replace rmm::mr::device_memory_resource* with rmm::device_async_resource_ref (#5853) @harrism
- Update scikit-learn to 1.4 (#5851) @betatim
- Prevent undefined behavior when passing handle from Treelite to cuML FIL (#5849) @hcho3
- Adds missing files to
update-version.sh
(#5830) @AyodeAwe - Enable all tests for
arm
arch (#5824) @galipremsagar - Address PytestReturnNotNoneWarning in cuml tests (#5819) @mroeschke
- Handle binary classifier with all-0 labels (#5810) @hcho3
- Use pytest_cases.fixture to fix warnings. (#5798) @bdice
- Enable Dask tests with UCX-Py/UCXX in CI (#5697) @pentschev
v24.06.00
🐛 Bug Fixes
- [HOTFIX] Fix import of sklearn by using cpu_only_import (#5914) @dantegd
- Fix label binarize for binary class (#5900) @jinsolp
- Fix RandomForestClassifier return type (#5896) @jinsolp
- Fix nightly CI: remove deprecated creation of columns by using explicit dtype (#5880) @dantegd
- Fix DBSCAN allocates rbc index even if deactivated (#5859) @mfoerste4
- Remove gtest from dependencies.yaml (#5854) @robertmaynard
- Support expression-based Dask Dataframe API (#5835) @rjzamora
- Mark all kernels with internal linkage (#5764) @robertmaynard
- Fix build.sh clean command (#5730) @csadorf
📖 Documentation
- Update the developer's guide with new copyright hook (#5848) @KyleFromNVIDIA
🚀 New Features
- Always use a static gtest and gbench (#5847) @robertmaynard
🛠️ Improvements
- Support double precision in MNMG Logistic Regression (#5898) @lijinf2
- Reduce and rename cudf.pandas integrations jobs (#5890) @dantegd
- Fix building cuml with CCCL main (#5886) @trxcllnt
- Add optional CI job for integration tests with cudf.pandas (#5881) @dantegd
- Enable pytest failures on FutureWarnings/DeprecationWarnings (#5877) @mroeschke
- Remove return in test_lbfgs (#5875) @mroeschke
- Avoid dask_cudf.core imports (#5874) @bdice
- Support CPU object for
train_test_split
(#5873) @isVoid - Only use functions in the limited API (#5871) @vyasr
- Replace deprecated disutils.version with packaging.version (#5868) @mroeschke
- Adjust deprecated cupy.sparse usage (#5867) @mroeschke
- Fix numpy 2.0 deprecations (#5866) @mroeschke
- Fix deprecated positional arg usage (#5865) @mroeschke
- Use int instead of float in random.randint (#5864) @mroeschke
- Migrate to
{{ stdlib("c") }}
(#5863) @hcho3 - Avoid deprecated API in notebook (#5862) @rjzamora
- Add dedicated handling for cudf.pandas wrapped Numpy arrays (#5861) @betatim
- Prepend devcontainer name with the username (#5860) @trxcllnt
- add --rm and --name to devcontainer run args (#5857) @trxcllnt
- Update pip devcontainers to UCX v1.15.0 (#5856) @trxcllnt
- Replace rmm::mr::device_memory_resource* with rmm::device_async_resource_ref (#5853) @harrism
- Update scikit-learn to 1.4 (#5851) @betatim
- Prevent undefined behavior when passing handle from Treelite to cuML FIL (#5849) @hcho3
- Adds missing files to
update-version.sh
(#5830) @AyodeAwe - Enable all tests for
arm
arch (#5824) @galipremsagar - Address PytestReturnNotNoneWarning in cuml tests (#5819) @mroeschke
- Handle binary classifier with all-0 labels (#5810) @hcho3
- Use pytest_cases.fixture to fix warnings. (#5798) @bdice
- Enable Dask tests with UCX-Py/UCXX in CI (#5697) @pentschev
v24.04.00
🐛 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 toworksteal
(#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
v24.02.00
🚨 Breaking Changes
🐛 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
v23.12.00
🚨 Breaking Changes
🐛 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 managingdask
versions (#5649) @galipremsagar - Simplify some logic in LabelEncoder (#5648) @vyasr
- Increase
Nanny
close timeout inLocalCUDACluster
tests (#5636) @pentschev - [LogisticRegressionMG] Support sparse vectors (#5632) @lijinf2
- Add rich HTML representation to estimators (#5630) @betatim
- Unpin
dask
anddistributed
for23.12
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
v23.10.00
🚨 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
anddistributed
for23.10
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
anddistributed
for23.10
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
v23.08.00
🚨 Breaking Changes
- Stop using setup.py in build.sh (#5500) @vyasr
- Add
copy_X
parameter toLinearRegression
(#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
anddistributed
for23.08
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 toLinearRegression
(#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
anddistributed
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
v23.06.00
🚨 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
🛠️ 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