[scikit-learn] Compiled trees

[Maciek Wójcikowski]

Which version of compiledtrees are you using?

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Pozdrawiam,  |  Best regards,
Maciek Wójcikowski
maciek at wojcikowski.pl

2016-08-11 23:39 GMT+02:00 Ali Zude via scikit-learn <
scikit-learn at python.org>:

> Dear All,
>
> I am trying to speed up the prediction of Random Forests. I've used
> compiledtress, which was useful, but since I have 6 models and once I've
> loaded all of them I got "Multiprocessing exception:"
>
> here is my models in the code:
> ...
> model1=joblib.load('/models/model1.pkl'')
> model2=joblib.load('/models/model2.pkl')
> model3=joblib.load('/models/model3.pkl')
> model4=compiledtrees.CompiledRegressionPredictor(
> joblib.load('/models/model4.pkl'))
> model5=compiledtrees.CompiledRegressionPredictor(
> joblib.load('/models/model4.pkl'))
> model6=compiledtrees.CompiledRegressionPredictor(
> joblib.load('/models/model4.pkl'))
>
> model1=compiledtrees.CompiledRegressionPredictor(model1)
> model2=compiledtrees.CompiledRegressionPredictor(model2)
> model3=compiledtrees.CompiledRegressionPredictor(model3)
> ....
>
> Now I'm trying to use MultiOutputRegressor(RandomForestRegressor()),
> however, I could not find any tool to do model selection, can anyone help
> me either to solve the first problem or the second one
>
> Best regards
>
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