Dear list,
I am trying to run svm.fs() in package penalizedSVM,
x <- matrix(rnorm(100), 20, 5)
y <- sample(c(0,10), 20, replace=TRUE)
model <- svm.fs(x,y)
And I get the following warnings and errors.
rror in array(0, c(n, p)) : 'dim' specifies too large an array
In addition: There were 16 warnings (use warnings() to see them)
There were 50 or more warnings (use warnings() to see the first 50)
> warnings()
Warning messages:
1: In if (fs.method == "1norm" & inner.val.method == "gacv") stop("gacv is
not availible for 1norm SVM. Use k fold cv instead.") :
the condition has length > 1 and only the first element will be used
2: In if (grid.search == "interval") { ... :
the condition has length > 1 and only the first element will be used
3: In if ((fs.method %in% c("scad", "1norm")) & is.null(bounds)) { ... :
the condition has length > 1 and only the first element will be used
4: In if (fs.method %in% c("DrHSVM") & is.null(bounds)) { ... :
I am guessing this is because of the limit memory?
Mike
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