Which version of compiledtrees are you using? ---- Pozdrawiam, | Best regards, Maciek Wójcikowski [email protected]
2016-08-11 23:39 GMT+02:00 Ali Zude via scikit-learn < [email protected]>: > 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 > > _______________________________________________ > scikit-learn mailing list > [email protected] > https://mail.python.org/mailman/listinfo/scikit-learn > >
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