Message-ID: <6731304c0905140533x61e9ac1bld2c87810745a49bb@mail.gmail.com>
Date: 2009-05-14T12:33:30Z
From: Max Kuhn
Subject: Least-square support vector machines regression!
In-Reply-To: <BD5194C9-0DF1-4160-B492-B35872703E80@cgiar.org>
> To make things easier (using only two optimization parameters and not
> loosing performance) I wanted to use LS SVM regression (lssvm{kernlab}). But
> it looks to me that it is not yet implemented. At least I got error
> messages, which I could not find a solution for (Error in if (n !_dim(y)[1]
> stop ("Labels y and data x dont match").
I've used the lssvm function in kernlab without issue.
You should follow the posting guide and provide a reproducible example
so that there is a possibility of answering your question. Plus, what
versions etc.
Max