> When you grid search C for rbf with non linear kernels (such as RBF) > you should always also grid search for the optimal value of the kernel > parameters (e.g. gamma for RBF kernels). The zero scores you get > probably stem from a default value of gamma that does not work at all > for your data. > > See for instance: > http://scikit-learn.org/stable/auto_examples/grid_search_digits.html > > As for the linear kernel that takes ages, maybe you are dealing with a > convergence issue of libsvm. The master branch has a fix to stop the > convergence in some pathological situations. Such convergence issues > can happen when the data is not properly scaled. Have you scaled you > data? If not have a look at the preprocessing module: > > http://scikit-learn.org/stable/modules/preprocessing.html
Thanks, Olivier! Now I need to do some reading first! 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_sfd2d_oct _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
