brulee (version 0.5.0)

brulee-autoplot: Plot model loss over epochs

Description

Plot model loss over epochs

Usage

# S3 method for brulee_mlp
autoplot(object, ...)
# S3 method for brulee_logistic_reg
autoplot(object, ...)
# S3 method for brulee_multinomial_reg
autoplot(object, ...)
# S3 method for brulee_linear_reg
autoplot(object, ...)

Value

A ggplot object.

Arguments

object

A brulee_mlp, brulee_logistic_reg, brulee_multinomial_reg, or brulee_linear_reg object.

...

Not currently used

Details

This function plots the loss function across the available epochs. A vertical line shows the epoch with the best loss value.

Examples

# \donttest{
if (torch::torch_is_installed() & rlang::is_installed(c("recipes", "yardstick", "modeldata"))) {
 library(ggplot2)
 library(recipes)
 theme_set(theme_bw())

 data(ames, package = "modeldata")

 ames$Sale_Price <- log10(ames$Sale_Price)

 set.seed(1)
 in_train <- sample(1:nrow(ames), 2000)
 ames_train <- ames[ in_train,]
 ames_test  <- ames[-in_train,]

 ames_rec <-
  recipe(Sale_Price ~ Longitude + Latitude, data = ames_train) %>%
    step_normalize(all_numeric_predictors())

 set.seed(2)
 fit <- brulee_mlp(ames_rec, data = ames_train, epochs = 50, batch_size = 32)

 autoplot(fit)
}
# }