Plot training history — plot.keras_training

Plots metrics recorded during training.

Usage

# S3 method for keras_training_history
plot(
  x,
  y,
  metrics = NULL,
  method = c("auto", "ggplot2", "base"),
  smooth = getOption("keras.plot.history.smooth", TRUE),
  theme_bw = getOption("keras.plot.history.theme_bw", FALSE),
  ...
)

Arguments

x: Training history object returned from fit.keras.src.models.model.Model().
y: Unused.
metrics: One or more metrics to plot (e.g. c('loss', 'accuracy')). Defaults to plotting all captured metrics.
method: Method to use for plotting. The default "auto" will use ggplot2 if available, and otherwise will use base graphics.
smooth: Whether a loess smooth should be added to the plot, only available for the ggplot2 method. If the number of epochs is smaller than ten, it is forced to false.
theme_bw: Use ggplot2::theme_bw() to plot the history in black and white.
...: Additional parameters to pass to the plot() method.

Value

if method == "ggplot2", the ggplot object is returned. If method == "base", then this function will draw to the graphics device and return NULL, invisibly.