<html><head><meta http-equiv="content-type" content="text/html; charset=utf-8"></head><body dir="auto"><div>Can someone please take me off this list? Thanks<br><br>Sent from my iPhone</div><div><br>On Aug 11, 2016, at 9:10 AM, Maciek Wójcikowski <<a href="mailto:maciek@wojcikowski.pl">maciek@wojcikowski.pl</a>> wrote:<br><br></div><blockquote type="cite"><div><div dir="ltr">First of all the pypi version is outdated, please install using <blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">pip install git+<a href="https://github.com/ajtulloch/sklearn-compiledtrees.git">https://github.com/ajtulloch/sklearn-compiledtrees.git</a></blockquote><div><br></div><div>Secondly, which scikit-learn version are you using?</div></div><div class="gmail_extra"><br clear="all"><div><div class="gmail_signature" data-smartmail="gmail_signature">----<br>Pozdrawiam, | Best regards,<br>Maciek Wójcikowski<br><a href="mailto:maciek@wojcikowski.pl" target="_blank">maciek@wojcikowski.pl</a><br></div></div>
<br><div class="gmail_quote">2016-08-11 13:31 GMT+02:00 Ali Zude <span dir="ltr"><<a href="mailto:zude07@yahoo.com" target="_blank">zude07@yahoo.com</a>></span>:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div style="color:#000;background-color:#fff;font-family:times new roman,new york,times,serif;font-size:13px"><div>Thnx Maciek,</div><div><br></div><div dir="ltr">I've tried to use it but I could not sort out the PyPi problem, see the error below. Thanks in advance.<br></div><div dir="ltr"><div><br></div><pre><span><span>---> 16<span> <span>import</span> compiledtrees<span></span>
<span>/home/ali/anaconda2/lib/<wbr>python2.7/site-packages/<wbr>compiledtrees/__init__.py</span> in <span><module><span>()</span>
<span>----> 1<span> <span>from</span> compiledtrees<span>.</span>compiled <span>import</span> CompiledRegressionPredictor<span></span>
<span> 2</span> <span></span>
<span> 3</span> __all__ <span>=</span> <span>[</span><span>"CompiledRegressionPredictor"</span><span><wbr>]</span><span></span>
<span>/home/ali/anaconda2/lib/<wbr>python2.7/site-packages/<wbr>compiledtrees/compiled.py</span> in <span><module><span>()</span>
<span> 1</span> <span>from</span> __future__ <span>import</span> print_function<span></span>
<span> 2</span> <span></span>
<span>----> 3<span> <span>from</span> sklearn<span>.</span>utils <span>import</span> array2d<span></span>
<span> 4</span> <span>from</span> sklearn<span>.</span>tree<span>.</span>tree <span>import</span> DecisionTreeRegressor<span>,</span> DTYPE<span></span>
<span> 5</span> <span>from</span> sklearn<span>.</span>ensemble<span>.</span>gradient_<wbr>boosting <span>import</span> GradientBoostingRegressor<span></span>
<span>ImportError</span>: cannot import name array2d<br><br><br>Kind regards<span class="HOEnZb"><font color="#888888"><br>Ali<br></font></span><div class="hm HOEnZb"><br></div></span></span></span></span></span></span></span></span></span></pre></div><div style="display:block"><div class="hm HOEnZb"> </div><div style="font-family:times new roman,new york,times,serif;font-size:13px"><div class="hm HOEnZb"> </div><div style="font-family:HelveticaNeue,Helvetica Neue,Helvetica,Arial,Lucida Grande,sans-serif;font-size:16px"><div class="hm HOEnZb"> <div dir="ltr"> <font face="Arial" size="2"> <hr size="1"> <b><span style="font-weight:bold">Von:</span></b> Maciek Wójcikowski <<a href="mailto:maciek@wojcikowski.pl" target="_blank">maciek@wojcikowski.pl</a>><br> <b><span style="font-weight:bold">An:</span></b> Ali Zude <<a href="mailto:zude07@yahoo.com" target="_blank">zude07@yahoo.com</a>>; Scikit-learn user and developer mailing list <<a href="mailto:scikit-learn@python.org" target="_blank">scikit-learn@python.org</a>> <br> <b><span style="font-weight:bold">Gesendet:</span></b> 12:26 Donnerstag, 11.August 2016<br> <b><span style="font-weight:bold">Betreff:</span></b> Re: [scikit-learn] Speeding up RF regressors<br> </font> </div></div><div><div class="h5"> <div><br><div><div><div dir="ltr">Hi Ali,<div><br clear="none"></div><div>I'm using sklearn-compiledtrees [<a rel="nofollow" shape="rect" href="https://github.com/ajtulloch/sklearn-compiledtrees" target="_blank">https://github.com/ajtulloch/<wbr>sklearn-compiledtrees</a>] 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.</div></div><div><br clear="all"><div><div>----<br clear="none">Pozdrawiam, | Best regards,<br clear="none">Maciek Wójcikowski<br clear="none"><a rel="nofollow" shape="rect" href="mailto:maciek@wojcikowski.pl" target="_blank">maciek@wojcikowski.pl</a><br clear="none"></div></div>
<br clear="none"><div>2016-08-11 13:21 GMT+02:00 Ali Zude via scikit-learn <span dir="ltr"><<a rel="nofollow" shape="rect" href="mailto:scikit-learn@python.org" target="_blank">scikit-learn@python.org</a>></span>:<br clear="none"><blockquote style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div><div style="color:#000;background-color:#fff;font-family:times new roman,new york,times,serif;font-size:13px"><div>Hi all,</div><div><br clear="none"></div><div dir="ltr">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. <br clear="none"></div><div dir="ltr">How can I speed up the prediction?</div><ul dir="ltr"><li> Can I import models into C++ code?</li><li> Is it useful to upgrade to scikit-learn 0.18? and then use multi-output models?<br clear="none"></li><li> Is sklearn-compiledtreesuseful, they are claiming that it will speed the prediction (5x-8x)times?</li><ul><li>I could not use because of array2d error >>PyPi</li></ul></ul><div>Thank you for your help <br clear="none"></div><div><br clear="none"></div><div>Regards</div><span><font color="#888888"></font></span><div>Ali<br clear="none"></div></div></div></div><br clear="none">______________________________ _________________<br clear="none">
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