org.encog.ml.model.config

Interface MethodConfig

All Known Implementing Classes:

FeedforwardConfig, NEATConfig, PNNConfig, RBFNetworkConfig, SVMConfig

public interface MethodConfig

Define normalization for a specific method.

Method Summary

Modifier and Type	Method and Description
int	determineOutputCount(VersatileMLDataSet dataset) Determine the needed output count.
java.lang.String	getMethodName()
java.lang.String	suggestModelArchitecture(VersatileMLDataSet dataset) Suggest a model architecture, based on a dataset.
NormalizationStrategy	suggestNormalizationStrategy(VersatileMLDataSet dataset, java.lang.String architecture) Suggest a normalization strategy based on a dataset.
java.lang.String	suggestTrainingArgs(java.lang.String trainingType) Suggest training arguments.
java.lang.String	suggestTrainingType() Suggest a training type.

Method Detail

getMethodName

java.lang.String getMethodName()

Returns:

The method name.

suggestModelArchitecture

java.lang.String suggestModelArchitecture(VersatileMLDataSet dataset)

Suggest a model architecture, based on a dataset.

Parameters:

dataset - The dataset.

Returns:

The model architecture.

suggestNormalizationStrategy

NormalizationStrategy suggestNormalizationStrategy(VersatileMLDataSet dataset,
                                                   java.lang.String architecture)

Suggest a normalization strategy based on a dataset.

Parameters:

dataset - The dataset.

architecture - The architecture.

Returns:

The strategy.

suggestTrainingType

java.lang.String suggestTrainingType()

Suggest a training type.

Returns:

The training type.

suggestTrainingArgs

java.lang.String suggestTrainingArgs(java.lang.String trainingType)

Suggest training arguments.

Parameters:

trainingType - The training type.

Returns:

The training arguments.

determineOutputCount

int determineOutputCount(VersatileMLDataSet dataset)

Determine the needed output count.

Parameters:

dataset - The dataset.

Returns:

The needed output count.