gdTrainParameters: Specify parameters for training of generative model

In ganGenerativeData: Generate Generative Data for a Data Source

Specify parameters for training of generative model

Description

Specify parameters for training of neural networks used for generation of generative data. These parameters are passed to function gdTrain().

Usage

gdTrainParameters(
  numberOfTrainingIterations = 10000,
  numberOfInitializationIterations = 1500,
  numberOfHiddenLayerUnits = 1024,
  learningRate = 7e-05,
  dropout = 0.05
)

Arguments

numberOfTrainingIterations	Number of training iterations
numberOfInitializationIterations	Number of initialization iterations
numberOfHiddenLayerUnits	Number of hidden layer units
learningRate	Learning rate for training of neural networks
dropout	Value in the range of 0 to 1. Specifies the rate of hidden units that are dropped. Dropout is a regularization method to prevent overfitting.

Value

List of parameters for training of generative model

Examples

## Not run: 
generateParameters <- gdGenerateParameters(numberOfTrainingIterations = 10000)
## End(Not run)

ganGenerativeData documentation built on Oct. 7, 2024, 5:09 p.m.