> The caret package is so good, I am learning it, but one problem is that
> nearZeroVar function can be used to identify near zero–variance variables and
> it only identify, how can I remove those variables that were identify,
> because I have many zero- or near zero- ones, it is not realistic
¶ä»¶äºº:bbslover
主é¢:Re: [R] Hello all, How can I get corss-validation MSE of SVM in e1071?
You can get this using the caret package. There are a few package
vignettes that come with the package and a JSS article
http://www.jstatsoft.org/v28/i05/paper
about the package.
Max
On Fri, D
thank you for your help, caret package is so powerful , it can do many
things. I now, need learn how to apply to my problems.
Max Kuhn wrote:
>
> You can get this using the caret package. There are a few package
> vignettes that come with the package and a JSS article
>
> http://www.jstatsoft
You can get this using the caret package. There are a few package
vignettes that come with the package and a JSS article
http://www.jstatsoft.org/v28/i05/paper
about the package.
Max
On Fri, Dec 18, 2009 at 12:26 PM, bbslover wrote:
>
> as known, svm need tune some parameters like cost,gamm
as known, svm need tune some parameters like cost,gamma and epsilon to get
better performance,but one question appear, how can i monitor the
performance . generally speaking ,we chose the cross-validation MSE in the
training set, but It seems svm can not return the cross-validation MSE
value, we
5 matches
Mail list logo