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cuml 26.04.00 documentation

Introduction
User Guide
Zero Code Change Acceleration
API Reference
FIL - RAPIDS Forest Inference Library
- Blogs and other references

GitHub
Twitter

cuml

cucim cudf-java cudf cugraph cuml cuproj cuspatial cuvs cuxfilter dask-cuda dask-cudf kvikio libcudf libcuml libcuproj libcuspatial libkvikio librapidsmpf librmm libucxx nvforest raft rapids-cmake rapidsmpf rmm ucxx

nightly (26.04)

nightly (26.04)stable (26.02)legacy (25.12)

Introduction
User Guide
Zero Code Change Acceleration
API Reference
FIL - RAPIDS Forest Inference Library
Blogs and other references

GitHub
Twitter

Section Navigation

cuml
- set_global_output_type
- using_output_type
cuml.accel
- install
- enabled
- profile
- is_proxy
cuml.benchmark
cuml.cluster
cuml.compose
cuml.covariance
- LedoitWolf
cuml.dask
cuml.datasets
cuml.decomposition
cuml.ensemble
- RandomForestClassifier
- RandomForestRegressor
cuml.experimental
- Lars
cuml.explainer
cuml.feature_extraction
cuml.fil
- ForestInference
cuml.kernel_ridge
- KernelRidge
cuml.linear_model
cuml.manifold
cuml.metrics
cuml.model_selection
- train_test_split
- KFold
cuml.multiclass
- OneVsOneClassifier
- OneVsRestClassifier
cuml.naive_bayes
cuml.neighbors
cuml.preprocessing
cuml.random_projection
cuml.solvers
- CD
- QN
- SGD
cuml.svm
- SVC
- SVR
- LinearSVC
- LinearSVR
cuml.tsa

API Reference
cuml.kernel_ridge

cuml.kernel_ridge#

Kernel ridge regression (KRR) performs l2 regularised ridge regression using the kernel trick.

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