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Finish mva/tmva_train.py #1
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I think the scikit-learn example only uses one CPU core? Shouldn't it be using all cores and thus be faster than TMVA? |
scikit-learn offers parallelism when fitting multiple classifiers, like when performing a grid search over classifier parameters and/or cross-validation. |
This scikit-learn vs TMVA example is not yet done. We just need to plot the decision surfaces, score distributions, and ROCs for both. |
The decision tree node splitting could potentially be done in parallel, and I think there has been talk about implementing this in scikit-learn, but at the moment each fitting of a classifiers is a single process. |
@ndawe Did you get a chance to finish the mva/tmva_train.py example? Do
TMVA
andscikit-learn
give consistent (identical?) results?The text was updated successfully, but these errors were encountered: