Hi,
In glmnet, while using a matrix as an input, I get an error of NA's introduced
by coercion. However in the input there is no NA value.
cvfit = cv.glmnet( x = mat1, y = train$response,family="multinomial",
type.multinomial = "grouped", parallel = TRUE)
Error in lognet(x, is.sparse, ix, jx, y, weights, offset, alpha, nobs, :
NA/NaN/Inf in foreign function call (arg 5)
In addition: Warning message:
In lognet(x, is.sparse, ix, jx, y, weights, offset, alpha, nobs, :
NAs introduced by coercion
> anyisna = function(x) {any(is.na(x))}
> nas = apply(mat1, MARGIN = 2, FUN = anyisna)
> nas[nas==T]
named logical(0)
> any(is.na(train$response))
[1] FALSE
Can you pls throw some light on where is the NA found.
Thanks,
Manish
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