Hi,
Quick question.
I'm working on training an SVM.
I have a dataframe with about 50 columns. I want to train on 46 of them.
Is there a way to say All except columns 22,23,25 and 31?
It would be nice to not have to do +c1 +c2 +c3 +c4, etc for all 48 columns.
Thanks!
-N
Hi,
On Jul 27, 2009, at 3:01 PM, Noah Silverman wrote:
Hi,
Quick question.
I'm working on training an SVM.
I have a dataframe with about 50 columns. I want to train on 46 of
them.
Is there a way to say All except columns 22,23,25 and 31?
Assume your dataframe is called my.data:
Hi,
I'm not sure that would work for the formula format of an SVM function.
the idea is normally
svm(label ~ c1 + c2 +c3, data=mydata);
It doesn't work to say
svm(label ~ -c(22,23,24), data=mydata)
On 7/27/09 12:17 PM, Steve Lianoglou wrote:
Hi,
On Jul 27, 2009, at 3:01 PM, Noah
Hi,
On Jul 27, 2009, at 3:47 PM, Noah Silverman wrote:
Hi,
I'm not sure that would work for the formula format of an SVM
function.
the idea is normally
svm(label ~ c1 + c2 +c3, data=mydata);
It doesn't work to say
svm(label ~ -c(22,23,24), data=mydata)
You're quite right. Sorry, I
Steve Lianoglou wrote:
Is it possible to build up your formula as a string, and then convert
to formula w/ as.formula?
what about simply using it this way instead:
svm(label ~ ., data=mydata[,-c(22,23,25,31)])
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