dmTrain {ganDataModel}R Documentation

Train a neural network which approximates density values for a data source

Description

Read a data source and generative data from files, train a neural network which approximates density values for a data source in iterative training steps, create a data model containing the trained neural network and write it to a file in binary format.

Usage

dmTrain(
  dataModelFileName,
  dataSourceFileName,
  generativeDataFileName,
  numberOfIterations
)

Arguments

dataModelFileName

Name of data model file

dataSourceFileName

Name of data source file

generativeDataFileName

Name of generative data file

numberOfIterations

Number of iterations.

Value

None

Examples

## Not run: 
dmTrain("dm.bin", "ds.bin", "gd.bin", 10000)
## End(Not run)

[Package ganDataModel version 1.1.7 Index]