Hi Paul. I am a bit confused. Do you want to name targets or features? Also, what does it mean to dump out the leaves of an RF? What information do you want to get? The RF can compute feature importance with the transform method, if that is what you are after.
For visualizing which features are important, you can just plot the feature importance, as is done here: http://scikit-learn.sourceforge.net/dev/auto_examples/ensemble/plot_forest_importances.html#example-ensemble-plot-forest-importances-py http://scikit-learn.sourceforge.net/dev/auto_examples/ensemble/plot_forest_importances_faces.html#example-ensemble-plot-forest-importances-faces-py Hth, Andy Am 12.11.2012 09:32, schrieb [email protected]: > Dear SciKitters, > > given an array of (n_samples,n_features) -> How do I assign target_names in > a concluding step? > > The target_names are stored in a list and, of course, have the same order > as the n_features vector. > > In a next step, I would like to dump out the importance of the most > relevant features? How can this be done in scikit-learn? In particular, I > have trained a random forest and would like to dump out the leaves of this > RF. > > > Cheers & Thanks, > Paul > > This message and any attachment are confidential and may be privileged or > otherwise protected from disclosure. If you are not the intended recipient, > you must not copy this message or attachment or disclose the contents to > any other person. If you have received this transmission in error, please > notify the sender immediately and delete the message and any attachment > from your system. Merck KGaA, Darmstadt, Germany and any of its > subsidiaries do not accept liability for any omissions or errors in this > message which may arise as a result of E-Mail-transmission or for damages > resulting from any unauthorized changes of the content of this message and > any attachment thereto. Merck KGaA, Darmstadt, Germany and any of its > subsidiaries do not guarantee that this message is free of viruses and does > not accept liability for any damages caused by any virus transmitted > therewith. > > Click http://www.merckgroup.com/disclaimer to access the German, French, > Spanish and Portuguese versions of this disclaimer. > > > ------------------------------------------------------------------------------ > Everyone hates slow websites. So do we. > Make your web apps faster with AppDynamics > Download AppDynamics Lite for free today: > http://p.sf.net/sfu/appdyn_d2d_nov > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_d2d_nov _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
