indeed this is more correct... > - data / design matrix, shape (n_samples, n_features) > - kernel / Gram / similarity / affinity / connectivity, shape > (n_samples, n_samples) > - distance, shape (n_samples, n_samples) (same shape as kernel but > opposite semantics) > - covariance, shape (n_features, n_features) > - precision, shape (n_features, n_features) (same shape as covariance > but inverse semantics)
thanks Olivier for correcting. Alex ------------------------------------------------------------------------------ RSA(R) Conference 2012 Save $700 by Nov 18 Register now http://p.sf.net/sfu/rsa-sfdev2dev1 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
