5bc47f908692c2c46173eb2451960816b6d0b58e,mvpa/clfs/glmnet.py,_GLMNET,_predict,#_GLMNET#Any#,205

Before Change

                                      type="class",
                                      s=self.__last_lambda)
            rpy.set_default_mode(rpy.NO_DEFAULT)
            class_ind = rpy.r.as_vector(class_ind)

            // convert the strings to ints and subtract 1
            class_ind = N.array([int(float(c))-1 for c in class_ind])

            // convert to actual labels
            classes = self.__ulabels[class_ind]
        else:

After Change

                                          s=self.__last_lambda))

            // convert to 0-based ints
            class_ind = (class_ind-1).astype("int")

            // convert to actual labels
            classes = self._ulabels[class_ind][:,0]
        else:
            // is gaussian, so just remove last dim of values
            values = values[:,0]

Instances