AlphaSensCurve: Sensitivity alpha-curve associated to MLP function of an...

In NeuralSens: Sensitivity Analysis of Neural Networks

Sensitivity alpha-curve associated to MLP function of an input variable

Description

Obtain sensitivity alpha-curve associated to MLP function obtained from the sensitivities returned by SensAnalysisMLP of an input variable.

Usage

AlphaSensCurve(sens, tol = NULL, max_alpha = 100)

Arguments

sens	raw sensitivities of the MLP output with respect to input variable.
tol	difference between M_alpha and maximum sensitivity of the sensitivity of each input variable
max_alpha	maximum alpha value to analyze

Value

alpha-curve of the MLP function

Examples

mod <- RSNNS::mlp(simdata[, c("X1", "X2", "X3")], simdata[, "Y"],
                 maxit = 1000, size = 15, linOut = TRUE)

sens <- SensAnalysisMLP(mod, trData = simdata,
                        output_name = "Y", plot = FALSE)

AlphaSensCurve(sens$raw_sens[[1]][,1])

NeuralSens documentation built on June 22, 2024, 12:06 p.m.