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Author:
NVIDIA Corporation
Summary:
NVIDIA cuML: GPU-Accelerated Machine Learning
Latest version:
26.10.0
Required dependencies:
cuda-bindings
|
cuda-toolkit
|
cudf-cu13
|
cupy-cuda13x
|
joblib
|
libcuml-cu13
|
numba
|
numba-cuda
|
numpy
|
nvforest-cu13
|
nvidia-nvjitlink
|
packaging
|
pylibraft-cu13
|
rich
|
rmm-cu13
|
scikit-learn
|
scipy
|
treelite
Optional dependencies:
certifi
|
cython
|
dask-cuda
|
dask-cudf-cu13
|
dask-ml
|
hdbscan
|
hypothesis
|
ipython
|
lightgbm
|
msgspec
|
nltk
|
nvidia-ml-py
|
onnxruntime
|
pynndescent
|
pytest
|
pytest-benchmark
|
pytest-cov
|
pytest-xdist
|
pyyaml
|
raft-dask-cu13
|
rapids-dask-dependency
|
scikit-learn
|
seaborn
|
shap
|
skl2onnx
|
statsmodels
|
umap-learn
|
xgboost
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