> Why don't you use a kernel SVM (SVC)? > There is no kernel Logistic Regression in sklearn. But there are some > kernel-approximation > methods that you could use together with various kernels and then use > the standard LogisticRegression.
I don't know how to combine these methods, so I will have to take a look on some examples. Thanks. Cheers Richard ------------------------------------------------------------------------------ Try New Relic Now & We'll Send You this Cool Shirt New Relic is the only SaaS-based application performance monitoring service that delivers powerful full stack analytics. Optimize and monitor your browser, app, & servers with just a few lines of code. Try New Relic and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_apr _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
