plot.neuralGAM {neuralGAM} | R Documentation |
Visualization of neuralGAM
object with base graphics
Description
Visualization of neuralGAM
object. Plots the learned partial effects by the neuralGAM object.
Usage
## S3 method for class 'neuralGAM'
plot(x, select = NULL, xlab = NULL, ylab = NULL, ...)
Arguments
x |
a fitted |
select |
allows to plot a set of selected terms. e.g. if you just want to plot the first term, select="X0" |
xlab |
if supplied, this value will be used as the |
ylab |
if supplied, this value will be used as the |
... |
other graphics parameters to pass on to plotting commands. |
Value
Returns the partial effects plot.
Author(s)
Ines Ortega-Fernandez, Marta Sestelo.
Examples
## Not run:
n <- 24500
seed <- 42
set.seed(seed)
x1 <- runif(n, -2.5, 2.5)
x2 <- runif(n, -2.5, 2.5)
x3 <- runif(n, -2.5, 2.5)
f1 <-x1**2
f2 <- 2*x2
f3 <- sin(x3)
f1 <- f1 - mean(f1)
f2 <- f2 - mean(f2)
f3 <- f3 - mean(f3)
eta0 <- 2 + f1 + f2 + f3
epsilon <- rnorm(n, 0.25)
y <- eta0 + epsilon
train <- data.frame(x1, x2, x3, y)
library(neuralGAM)
ngam <- neuralGAM(y ~ s(x1) + x2 + s(x3), data = train,
num_units = 1024, family = "gaussian",
activation = "relu",
learning_rate = 0.001, bf_threshold = 0.001,
max_iter_backfitting = 10, max_iter_ls = 10,
seed = seed
)
plot(ngam)
## End(Not run)
[Package neuralGAM version 1.1.1 Index]