softmax: Calculate the softmax of a vector or matrix of values
In LDATS: Latent Dirichlet Allocation Coupled with Time Series Analyses
softmax R Documentation
Calculate the softmax of a vector or matrix of values
Description
Calculate the softmax (normalized exponential) of a vector
of values or a set of vectors stacked rowwise.
Usage
softmax(x)
Arguments
x
numeric vector or matrix
Value
The softmax of x.
Examples
dat <- matrix(runif(100, -1, 1), 25, 4)
softmax(dat)
softmax(dat[,1])
LDATS documentation built on Sept. 19, 2023, 5:08 p.m.
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| softmax | R Documentation |
Calculate the softmax of a vector or matrix of values
Description
Calculate the softmax (normalized exponential) of a vector of values or a set of vectors stacked rowwise.
Usage
softmax(x)
Arguments
x |
|
Value
The softmax of x.
Examples
dat <- matrix(runif(100, -1, 1), 25, 4)
softmax(dat)
softmax(dat[,1])
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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