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mda (version 0.4-8)

softmax: Find the Maximum in Each Row of a Matrix

Description

Find the maximum in each row of a matrix.

Usage

softmax(x, gap = FALSE)

Arguments

x
a numeric matrix.
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 mda

Examples

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

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