rapids

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How can I use xgboost.dask with gpu to model a very large dataset in both a distributed and batched manner?
user_85436520
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2
1
1199
dask-distributed xgboost rapids dask python
XGBOOST GridSearchCV with GPU_HIST uses both GPU and CPU simultaneously
user_132263690
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3
0
1197
xgboost rapids gridsearchcv conda gpu
RAPIDS in Colab AttributeError: module 'cudf' has no attribute '_lib'
user_136506600
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2
1
1034
rapids google-colaboratory python-3.x
Rapids / docker: could not select device driver "" with capabilities: [[gpu]]
user_38973150
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9
4
15865
rapids docker nvidia gpu
Need Help In Converting cuDF Dataframe to cupy ndarray
user_108971450
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2
1
1794
cupy cudf rapids nvidia python
Dask Vs Rapids. What does rapids provide which dask doesn't have?
user_58913380
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8
2
1631
rapids dask machine-learning parallel-processing gpu
Why RandomForestClassifier on CPU (using SKLearn) and on GPU (using RAPIDs) get differents scores, very different?
user_77571350
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2
2
4657
rapids scikit-learn random-forest python
MultiGPU Kmeans clustering with RAPIDs freezes
user_77571350
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4
2
668
rapids dask k-means python
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