plot: Functions for Plotting

In gnn: Generative Neural Networks

Functions for Plotting

Description

Functions for plotting.

Usage

## S3 method for class 'gnn_GNN'
plot(x, kind = c("scatter", "loss"), max.n.samples = NULL,
    type = NULL, xlab = NULL, ylab = NULL,
    y2lab = NULL, labels = "X", pair = NULL, ...)

Arguments

x	trained object of class "gnn_GNN" whose loss function (loss per epoch of training) is to be plotted.
kind	character() indicating the type of plot.
max.n.samples	maximal number of samples to be plotted.
type	line type; see plot().
xlab	x-axis label; see plot().
ylab	y-axis label; see plot().
y2lab	secondary y-axis label.
labels	character() vector indicating the labels to be used; if of length 1, then the base label to be used.
pair	numeric(2) containing the indices of the pair to be plotted.
...	additional arguments passed to the underlying plot().

Value

Plot by side-effect.

Author(s)

Marius Hofert

See Also

fitGNN().

gnn documentation built on May 29, 2024, 6:13 a.m.