Thanks for the explaining. It's very helpful. Really thanks for all your help.
I appreciate it. ________________________________ From: Josh Vredevoogd <cleverl...@gmail.com> To: scikit-learn-general@lists.sourceforge.net Sent: Tuesday, 13 August 2013, 11:46 Subject: Re: [Scikit-learn-general] Can Random Forest Classifer ignore specific fields? Also, feature_importances will tell you about how much the random forest is relying on particular features. For instance, you could keep only half the features - those that have the largest importances. You may have to set compute_importances=True depending on which version you're running. On Tue, Aug 13, 2013 at 4:00 AM, Gilles Louppe <g.lou...@gmail.com> wrote: Hi, > >As Roland says, this is a Numpy question rather than a scikit-learn question. >If you want to ignore specific fields then it indeed amounts to removing the >corresponding columns in your X array before feeding it to your estimator. > > >(Note however that Random Forests have the advantages of being robust with >respect to noise attributes. Training with or without shouldn't change the >result by much.) > > >Best, > > >Gilles > > > >On 13 August 2013 12:24, Jason Williams <jwilliams4...@yahoo.co.uk> wrote: > >Would it have influence on the result if some attributes are removed? Just >want to double check because I am not very familiar with machine learning. If >no impact for the result after some fields are taken out of input training >data, I will just remove those fields because that would be simpler. >> >>Thank for help >> >> >> >> >> >> >>________________________________ >>From: Roland Szabo <rol...@gmail.com> >>To: Jason Williams <jwilliams4...@yahoo.co.uk>; >>scikit-learn-general@lists.sourceforge.net >>Sent: Tuesday, 13 August 2013, 6:11 >>Subject: Re: [Scikit-learn-general] Can Random Forest Classifer ignore >>specific fields? >> >> >> >> >>Isn't it simpler to just take out the attributes you want to ignore from the >>data? >> >>Assuming the numpy array a contains your data and you don't want the first >>column (attribute): >> >>a = a[:,1:] >> >> >> >> >>On Tue, Aug 13, 2013 at 1:03 PM, Jason Williams <jwilliams4...@yahoo.co.uk> >>wrote: >> >>I follow an example found on the internet >>(http://blog.yhathq.com/posts/random-forests-in-python.html) for using Random >>Forest Classifer. The result looks working. From the sample code, it looks >>like taking all attributes to train the model. But checking api >>(http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html >> ) there is no description telling that what parameter can be used to ignore >>some particular fileds/ attributes. So I would like to check if any parameter >>can be used to ignore particular fields or attributes? >>> >>>Thanks >>> >>>------------------------------------------------------------------------------ >>>Get 100% visibility into Java/.NET code with AppDynamics Lite! >>>It's a free troubleshooting tool designed for production. >>>Get down to code-level detail for bottlenecks, with <2% overhead. >>>Download for free and get started troubleshooting in minutes. >>>http://pubads.g.doubleclick.net/gampad/clk?id=48897031&iu=/4140/ostg.clktrk >>>_______________________________________________ >>>Scikit-learn-general mailing list >>>Scikit-learn-general@lists.sourceforge.net >>>https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >>> >> >> >>-- >> >>Roland >>http://rolisz.ro/ >> >>------------------------------------------------------------------------------ >>Get 100% visibility into Java/.NET code with AppDynamics Lite! >>It's a free troubleshooting tool designed for production. >>Get down to code-level detail for bottlenecks, with <2% overhead. >>Download for free and get started troubleshooting in minutes. >>http://pubads.g.doubleclick.net/gampad/clk?id=48897031&iu=/4140/ostg.clktrk >>_______________________________________________ >>Scikit-learn-general mailing list >>Scikit-learn-general@lists.sourceforge.net >>https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >> > >------------------------------------------------------------------------------ >Get 100% visibility into Java/.NET code with AppDynamics Lite! >It's a free troubleshooting tool designed for production. >Get down to code-level detail for bottlenecks, with <2% overhead. >Download for free and get started troubleshooting in minutes. >http://pubads.g.doubleclick.net/gampad/clk?id=48897031&iu=/4140/ostg.clktrk >_______________________________________________ >Scikit-learn-general mailing list >Scikit-learn-general@lists.sourceforge.net >https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > ------------------------------------------------------------------------------ Get 100% visibility into Java/.NET code with AppDynamics Lite! 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