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]