softmax: Calculate the softmax of a vector or matrix of values
In weecology/LDATS: Latent Dirichlet Allocation Coupled with Time Series Analyses

Calculate the softmax (normalized exponential) of a vector of values or a set of vectors stacked rowwise.

1	softmax(x)

`x`	`numeric` vector or matrix

The softmax of x.

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  dat <- matrix(runif(100, -1, 1), 25, 4)
  softmax(dat)
  softmax(dat[,1])

weecology/LDATS documentation built on March 28, 2020, 11:20 a.m.

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