GAN_update_plot: GAN_update_plot

In mneunhoe/RGAN: Generative Adversarial Nets (GAN) in R

GAN_update_plot

Description

Provides a function to send the output of a DataTransformer to a torch tensor, so that it can be accessed during GAN training.

Usage

GAN_update_plot(data, dimensions = c(1, 2), synth_data, epoch, main = NULL)

Arguments

data	Real data to be plotted
dimensions	Which columns of the data should be plotted
synth_data	The synthetic data to be plotted
epoch	The epoch during training for the plot title
main	An optional plot title

Value

A function

Examples

## Not run: 
# Before running the first time the torch backend needs to be installed
torch::install_torch()
# Load data
data <- sample_toydata()
# Build new transformer
transformer <- data_transformer$new()
# Fit transformer to data
transformer$fit(data)
# Transform data and store as new object
transformed_data <-  transformer$transform(data)
# Train the default GAN
trained_gan <- gan_trainer(transformed_data)
# Sample synthetic data from the trained GAN
synthetic_data <- sample_synthetic_data(trained_gan, transformer)
# Plot the results
GAN_update_plot(data = data,
synth_data = synthetic_data,
main = "Real and Synthetic Data after Training")

## End(Not run)

mneunhoe/RGAN documentation built on Aug. 27, 2023, 7:57 a.m.