sigmoid {tsaux} | R Documentation |
The sigmoid transformation
Description
The sigmoid function is a smooth, S-shaped function that maps any real-valued input into a bounded interval, typically (0,1) . It is widely used in probability modeling, logistic regression, and neural networks as an activation function.
Usage
sigmoid(lower = 0, upper = 1, ...)
Arguments
lower |
lower bound of the variable. |
upper |
upper bound of the variable. |
... |
not currently used. |
Value
A list with the transform and inverse functions.
Author(s)
Alexios Galanos
Examples
y = cumprod(c(1, 1 + rnorm(100,0.01, 0.005)))
B = sigmoid()
yt = B$transform(y)
ye = B$inverse(yt)
[Package tsaux version 1.0.0 Index]