/// <summary>
/// Select the training type.
/// </summary>
/// <param name="dataset">The dataset.</param>
public void SelectTrainingType(VersatileMLDataSet dataset)
{
if (_methodType == null)
{
throw new EncogError(
"Please select your training method, before your training type.");
}
IMethodConfig config = _methodConfigurations[_methodType];
SelectTraining(dataset, config.SuggestTrainingType(),
config.SuggestTrainingArgs(_trainingType));
}
/// <summary>
/// Select the method to create.
/// </summary>
/// <param name="dataset">The dataset.</param>
/// <param name="methodType">The method type.</param>
public void SelectMethod(VersatileMLDataSet dataset, String methodType)
{
if (!_methodConfigurations.ContainsKey(methodType))
{
throw new EncogError("Don't know how to autoconfig method: "
+ methodType);
}
_config = _methodConfigurations[methodType];
_methodType = methodType;
_methodArgs = _config.SuggestModelArchitecture(dataset);
dataset.NormHelper.NormStrategy =
_config.SuggestNormalizationStrategy(dataset, _methodArgs);
}
/// <summary>
/// Select the method to create.
/// </summary>
/// <param name="dataset">The dataset.</param>
/// <param name="methodType">The method type.</param>
public void SelectMethod(VersatileMLDataSet dataset, String methodType)
{
if (!_methodConfigurations.ContainsKey(methodType))
{
throw new EncogError("Don't know how to autoconfig method: "
+ methodType);
}
_config = _methodConfigurations[methodType];
_methodType = methodType;
_methodArgs = _config.SuggestModelArchitecture(dataset);
dataset.NormHelper.NormStrategy =
_config.SuggestNormalizationStrategy(dataset, _methodArgs);
}
