classifyFull then vector maxIndex do the same thing, actually my question is :
How can I find the map between original target labels and the encoded target codes? > -----Original Message----- > From: Hector Yee [mailto:[email protected]] > Sent: Sunday, June 05, 2011 12:40 AM > To: [email protected] > Cc: <[email protected]>; <[email protected]> > Subject: Re: How to get the predicted target lable using CrossFolderLearner? > > You can use classifyFull and then vector maxIndex > > Sent from my iPad > > On Jun 4, 2011, at 8:31 AM, "XiaoboGu" <[email protected]> wrote: > > > Hi, > > When dealing with multinomial logistic regression with > > CrossFolderLearner, the > Vector classfy(Vector) method returns a vector of scores for all the target > values, > Max( scores.max, 1 - scores.zSum) will return the max socre, according to > which we can > determine the predicted target value, which is encoded by the learner > internally, but where is > the map between original target labels and the encoded codes? > > > > Regards, > > > > Xiaobo Gu > >
