Hello, Still working on Several Aproaches related to AGI (Automated Genre Identificaiton). I tried SGD with partila_fit() and it was quite impresive that it can Fit a huge amount of date without woring to much about fitting your data to RAM plus is works fine with PyTables EArray, etc.
Now I am testing OneClassSVM on the same problem which it performs very bad. So I would like to test few other things Like PCA as a Classifier. I thought that a preforming a simple PCA and then keeping the data Tasformed could work as my Model and then I could use the Mhalanobis Distance to find how close my New Data Point was to my Model. However the Score() function of ProbabilisticPCA() is not returning such a metric. Any Ideas How I could do that? Best Regards, Dimitrios ------------------------------------------------------------------------------ Try before you buy = See our experts in action! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-dev2 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
