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Finish mva/tmva_train.py #1

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cdeil opened this issue Apr 3, 2013 · 4 comments
Open

Finish mva/tmva_train.py #1

cdeil opened this issue Apr 3, 2013 · 4 comments

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@cdeil
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cdeil commented Apr 3, 2013

@ndawe Did you get a chance to finish the mva/tmva_train.py example? Do TMVA and scikit-learn give consistent (identical?) results?

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cdeil commented Apr 3, 2013

I think the scikit-learn example only uses one CPU core? Shouldn't it be using all cores and thus be faster than TMVA?

@ndawe
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ndawe commented Apr 3, 2013

scikit-learn offers parallelism when fitting multiple classifiers, like when performing a grid search over classifier parameters and/or cross-validation.

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ndawe commented Apr 3, 2013

This scikit-learn vs TMVA example is not yet done. We just need to plot the decision surfaces, score distributions, and ROCs for both.

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ndawe commented Apr 3, 2013

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.

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