Please remove me as well. On Thursday, August 11, 2016, o m <[email protected]> wrote:
> Can someone please take me off this list? Thanks > > Sent from my iPhone > > On Aug 11, 2016, at 9:10 AM, Maciek Wójcikowski <[email protected] > <javascript:_e(%7B%7D,'cvml','[email protected]');>> wrote: > > First of all the pypi version is outdated, please install using 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] > <javascript:_e(%7B%7D,'cvml','[email protected]');> > > 2016-08-11 13:31 GMT+02:00 Ali Zude <[email protected] > <javascript:_e(%7B%7D,'cvml','[email protected]');>>: > >> 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 >> <module>()----> 1 from compiledtrees.compiled import >> CompiledRegressionPredictor 2 3 __all__ = >> ["CompiledRegressionPredictor"] >> /home/ali/anaconda2/lib/python2.7/site-packages/compiledtrees/compiled.py in >> <module>() 1 from __future__ import print_function 2 ----> 3 from >> sklearn.utils import array2d 4 from sklearn.tree.tree import >> DecisionTreeRegressor, DTYPE 5 from sklearn.ensemble.gradient_boosting >> import GradientBoostingRegressor >> ImportError: cannot import name array2d >> >> >> Kind regards >> Ali >> >> ------------------------------ >> *Von:* Maciek Wójcikowski <[email protected] >> <javascript:_e(%7B%7D,'cvml','[email protected]');>> >> *An:* Ali Zude <[email protected] >> <javascript:_e(%7B%7D,'cvml','[email protected]');>>; Scikit-learn user >> and developer mailing list <[email protected] >> <javascript:_e(%7B%7D,'cvml','[email protected]');>> >> *Gesendet:* 12:26 Donnerstag, 11.August 2016 >> *Betreff:* Re: [scikit-learn] Speeding up RF regressors >> >> 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 >> [email protected] >> <javascript:_e(%7B%7D,'cvml','[email protected]');> >> >> 2016-08-11 13:21 GMT+02:00 Ali Zude via scikit-learn < >> [email protected] >> <javascript:_e(%7B%7D,'cvml','[email protected]');>>: >> >> 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? >> - Is it useful to upgrade to scikit-learn 0.18? and then use >> multi-output models? >> - Is sklearn-compiledtreesuseful, they are claiming that it will >> speed the prediction (5x-8x)times? >> - I could not use because of array2d error >>PyPi >> >> Thank you for your help >> >> Regards >> Ali >> >> ______________________________ _________________ >> scikit-learn mailing list >> [email protected] >> <javascript:_e(%7B%7D,'cvml','[email protected]');> >> https://mail.python.org/ mailman/listinfo/scikit-learn >> <https://mail.python.org/mailman/listinfo/scikit-learn> >> >> >> >> >> > _______________________________________________ > scikit-learn mailing list > [email protected] > <javascript:_e(%7B%7D,'cvml','[email protected]');> > https://mail.python.org/mailman/listinfo/scikit-learn > >
_______________________________________________ scikit-learn mailing list [email protected] https://mail.python.org/mailman/listinfo/scikit-learn
