// example:
// count = 5; id = 4;
// vector = {0, 0, 0, 1, 0}
private double[] GetCharacteristicAsVector(ClassifiableText classifiableText)
{
var vector = new double[_outputLayerSize];
vector[classifiableText.GetCharacteristicValue(_characteristic.Name).OrderNumber - 1] = 1;
return(vector);
}
public CharacteristicValue Classify(ClassifiableText classifiableText)
{
var output = new double[_outputLayerSize];
// calculate output vector
_network.Compute(GetTextAsVectorOfWords(classifiableText).ToArray(), output);
EncogFramework.Instance.Shutdown();
return(ConvertVectorToCharacteristic(output));
}
private double[] GetTextAsVectorOfWords(ClassifiableText classifiableText)
{
var vector = new double[_inputLayerSize];
// convert text to INGram
var uniqueValues = _inGram.GetNGram(classifiableText.Text);
// create vector
//
foreach (var word in uniqueValues)
{
var vw = FindWordInVocabulary(word);
if (vw != null)
{
vector[vw.Id - 1] = 1;
}
}
return(vector);
}
