protected override void OverrideModel(IMLSpecifications.LearningType learningType)
{
switch (learningType)
{
case IMLSpecifications.LearningType.Classification:
m_Model = new RapidlibModel(RapidlibModel.ModelType.kNN);
break;
case IMLSpecifications.LearningType.Regression:
m_Model = new RapidlibModel(RapidlibModel.ModelType.NeuralNetwork);
break;
default:
break;
}
}
/// <summary>
/// Instantiates a rapidlibmodel
/// </summary>
/// <param name="learningType"></param>
public override RapidlibModel InstantiateRapidlibModel(IMLSpecifications.LearningType learningType)
{
// Switch local learning type
switch (learningType)
{
case IMLSpecifications.LearningType.Classification:
learningChoice = CR_LearningChoice.Classification;
break;
case IMLSpecifications.LearningType.Regression:
learningChoice = CR_LearningChoice.Regression;
break;
default:
break;
}
// Update local and parent learning type
SetLearningType();
// Return new model
return(base.InstantiateRapidlibModel(learningType));
}
protected override void OverrideModel(IMLSpecifications.LearningType learningType)
{
m_Model = new RapidlibModel(RapidlibModel.ModelType.NeuralNetwork);
}
/// <summary>
/// Instantiates a rapidlibmodel
/// </summary>
/// <param name="learningType"></param>
public override RapidlibModel InstantiateRapidlibModel(IMLSpecifications.LearningType learningType)
{
SetLearningType();
return(base.InstantiateRapidlibModel(learningType));
}
