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Author:
NVIDIA Corporation
Summary:
cuML - RAPIDS ML Algorithms
Latest version:
26.6.0
Required dependencies:
cuda-python
|
cuda-toolkit
|
cudf-cu12
|
cupy-cuda12x
|
joblib
|
libcuml-cu12
|
numba
|
numba-cuda
|
numpy
|
nvforest-cu12
|
nvidia-nvjitlink-cu12
|
packaging
|
pylibraft-cu12
|
rich
|
rmm-cu12
|
scikit-learn
|
scipy
|
treelite
Optional dependencies:
certifi
|
cython
|
dask-cuda
|
dask-cudf-cu12
|
dask-ml
|
hdbscan
|
hypothesis
|
ipython
|
lightgbm
|
nltk
|
numpydoc
|
nvidia-ml-py
|
pynndescent
|
pytest
|
pytest-benchmark
|
pytest-cases
|
pytest-cov
|
pytest-xdist
|
pyyaml
|
raft-dask-cu12
|
rapids-dask-dependency
|
scikit-learn
|
seaborn
|
shap
|
statsmodels
|
umap-learn
|
xgboost-cu12
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