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, Maciek

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

Re: [scikit-learn] Speeding up RF regressors

2016-08-11 Thread Vlad Deshkovich
Please remove me as well. On Thursday, August 11, 2016, o m wrote: > Can someone please take me off this list? Thanks > > Sent from my iPhone > > On Aug 11, 2016, at 9:10 AM, Maciek Wójcikowski > wrote: > > First of all the pypi version is outdated, please install using >> >> pip install git+ht

Re: [scikit-learn] Speeding up RF regressors

2016-08-11 Thread o m
Can someone please take me off this list? Thanks Sent from my iPhone > On Aug 11, 2016, at 9:10 AM, Maciek Wójcikowski wrote: > > First of all the pypi version is outdated, please install using >> >> pip install git+https://github.com/ajtulloch/sklearn-compiledtrees.git > > Secondly, which s

Re: [scikit-learn] Speeding up RF regressors

2016-08-11 Thread Maciek Wójcikowski
First of all the pypi version is outdated, please install using > > pip install git+https://github.com/ajtulloch/sklearn-compiledtrees.git Secondly, which scikit-learn version are you using? Pozdrawiam, | Best regards, Maciek Wójcikowski [email protected] 2016-08-11 13:31 GMT+02:00 A

Re: [scikit-learn] Speeding up RF regressors

2016-08-11 Thread Ali Zude via scikit-learn
Thnx Maciek, I've tried to use it but I could not sort out the PyPi problem,  see the error below. Thanks in advance. ---> 16 import compiledtrees /home/ali/anaconda2/lib/python2.7/site-packages/compiledtrees/__init__.py in () > 1 from compiledtrees.compiled import CompiledRegressionPredict

Re: [scikit-learn] Speeding up RF regressors

2016-08-11 Thread Maciek Wójcikowski
Hi Ali, I'm using sklearn-compiledtrees [ https://github.com/ajtulloch/sklearn-compiledtrees] on quite large trees (pickle size ~1GB, compiled ~100MB) and the speedup is gigantic (never measured it properly) but I'd say it's over 10x. Pozdrawiam, | Best regards, Maciek Wójcikowski mac...@w

[scikit-learn] Speeding up RF regressors

2016-08-11 Thread Ali Zude via scikit-learn
Hi all, I've 6 RF models and I am using them online to predict 6 different variables (using the same features), models quality (error in test data is good). However, the online prediction is very very slow. How can I speed up the prediction? -     Can I import models into C++ code? -