/// <summary>
/// Adds a single training example
/// </summary>
private void AddTrainingExamplePrivate()
{
// Declare new example to add to vector
IMLTrainingExample newExample = new IMLTrainingExample();
// Add all the input features to the training example being recorded
for (int i = 0; i < InputFeatures.Count; i++)
{
newExample.AddInputExample((InputFeatures[i] as IFeatureIML).FeatureValues);
}
// Add all the output features to the training example being recorded
for (int i = 0; i < m_DesiredOutputFeatures.Count; i++)
{
newExample.AddOutputExample(m_DesiredOutputFeatures[i]);
}
// Add the training example to the vector
TrainingExamplesVector.Add(newExample);
}
/// <summary>
/// Adds a single training example
/// </summary>
protected void AddTrainingExampleprotected()
{
// Declare new example to add to vector
IMLTrainingExample newExample = new IMLTrainingExample();
// Add all the input features to the training example being recorded
for (int i = 0; i < InputFeatures.Count; i++)
{
newExample.AddInputExample((InputFeatures[i] as IFeatureIML).FeatureValues);
}
// Add all the output features to the training example being recorded
for (int i = 0; i < TargetValues.Count; i++)
{
newExample.AddOutputExample((TargetValues[i] as IFeatureIML).FeatureValues);
}
// Add the training example to the vector
TrainingExamplesVector.Add(newExample);
SaveDataToDisk();
}