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From: "XiaoboGu" <guxiaobo1982@gmail.com>
To: <dev@mahout.apache.org>
Cc: <user@mahout.apache.org>
References: <002001cc22cc$8815bae0$984130a0$@com>
 <5A840238-C258-47E7-AA4C-4FF13D3C01F8@gmail.com>
In-Reply-To: <5A840238-C258-47E7-AA4C-4FF13D3C01F8@gmail.com>
Subject: RE: How to get the predicted target lable using CrossFolderLearner?
Date: Sun, 5 Jun 2011 13:39:01 +0800
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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:hector.yee@gmail.com]
> Sent: Sunday, June 05, 2011 12:40 AM
> To: dev@mahout.apache.org
> Cc: <user@mahout.apache.org>; <dev@mahout.apache.org>
> Subject: Re: How to get the predicted target lable using =
CrossFolderLearner?
>=20
> You can use classifyFull and then vector maxIndex
>=20
> Sent from my iPad
>=20
> On Jun 4, 2011, at 8:31 AM, "XiaoboGu" <guxiaobo1982@gmail.com> wrote:
>=20
> > 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
> >