dmTrain: Train a neural network which approximates density values for...

In ganDataModel: Build a Metric Subspaces Data Model for a Data Source

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)

ganDataModel documentation built on Sept. 11, 2024, 8:39 p.m.