Re: [scikit-learn] Compiled trees

2016-08-12 Thread Maciek Wójcikowski
ees==1.3 > > > -- > *Von:* Maciek Wójcikowski > *An:* Ali Zude ; Scikit-learn user and developer > mailing list > *Gesendet:* 7:30 Freitag, 12.August 2016 > *Betreff:* Re: [scikit-learn] Compiled trees > > Which version of compiledtrees are

Re: [scikit-learn] Compiled trees

2016-08-11 Thread Ali Zude via scikit-learn
sklearn-compiledtrees==1.3 Von: Maciek Wójcikowski An: Ali Zude ; Scikit-learn user and developer mailing list Gesendet: 7:30 Freitag, 12.August 2016 Betreff: Re: [scikit-learn] Compiled trees Which version of compiledtrees are you using? Pozdrawiam,  |  Best regards

Re: [scikit-learn] Compiled trees

2016-08-11 Thread Maciek Wójcikowski
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 > compile

[scikit-learn] Compiled trees

2016-08-11 Thread Ali Zude via scikit-learn
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