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Some benchmarks for using Ray's implementation of joblib backend to distribute scikit-learn training.

Apache-2.0 license

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Name		Name	Last commit message	Last commit date
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LICENSE		LICENSE
README.md		README.md
blog1.yaml		blog1.yaml
blog10.yaml		blog10.yaml
blog5.yaml		blog5.yaml
gs.py		gs.py
hp.py		hp.py
rf.py		rf.py

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sklearn-ray

Some benchmarks for using Ray's implementation of joblib backend to distribute scikit-learn training.

How to run:

run ray up -y blog<#nodes>.yaml.
run ray attach blog<#nodes>.yaml
copy the relevant <benchmark>.py to the remote cluster.
run RAY_ADDRESS=auto python <benchmark>.py

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Some benchmarks for using Ray's implementation of joblib backend to distribute scikit-learn training.

Apache-2.0 license

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