softmax {mda}R Documentation

identify the maximum in each row of a matrix

Usage

softmax(x, gap = F)

Arguments

x a matrix of mode numeric
gap if TRUE, the difference between the largest and next largest column is returned.

Value

A factor with levels the column labels of x and values the columns corresponding to the maximum column. If gap = TRUE a list is returned, the second component of which is the difference between the largest and next largest column of x.

See Also

predict.fda, confusion, fda

Examples

data(iris)
irisfit <- fda(Species ~ ., data = iris)
posteriors <- predict(irisfit, type = "post")
confusion(softmax(posteriors), iris[, "Species"])


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