summary.neuralGAM {neuralGAM}

neuralGAM summary

Description

Summary of a fitted neuralGAM object. Prints the distribution family, model formula, intercept value, sample size, as well as neural network architecture and training history.

Usage

## S3 method for class 'neuralGAM'
summary(object, ...)

Arguments

object

neuralGAM object.

...

Other options.

Value

The summary of the object:

• Distribution family

• Formula

• Intercept value

• Mean Squared Error (MSE)

• Training sample size

• Training History

• Model Architecture

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
                 )
summary(ngam)

## End(Not run)