> It would be great if there was a way to access the parameter search > results as a numpy ndarray, with one axis for each parameter and one > additional axis for the cross-validation folds. This would make it easy > to visualise the grid search results, compute the mean, median or > variance for each grid point, etc.
That only works if these parameters are on the nD grid, which is not at all garanteed. ------------------------------------------------------------------------------ How ServiceNow helps IT people transform IT departments: 1. A cloud service to automate IT design, transition and operations 2. Dashboards that offer high-level views of enterprise services 3. A single system of record for all IT processes http://p.sf.net/sfu/servicenow-d2d-j _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general