public VectorData GetVector(IProcessingTextBlock normalBlock, NormalizationType normalization)
{
var normal = styleFactory.ConstructTextBlock(normalBlock.Sentences);
DataTree tree;
switch (anomalyVectorType)
{
case AnomalyVectorType.Full:
tree = new DataTree(normal, MapFull);
break;
case AnomalyVectorType.Inquirer:
tree = normal.InquirerFinger.InquirerProbabilities;
break;
case AnomalyVectorType.SentimentCategory:
tree = GetTree(normal);
break;
default:
throw new ArgumentOutOfRangeException("AnomalyVectorType");
}
VectorData vector = tree.CreateVector(normalization);
return(vector);
}
public double Probability(IProcessingTextBlock data)
{
logger.LogDebug("Probability");
double[][] observations = vectorSource.GetVectors(new[] { data }, NormalizationType.None);
return(Model.Probability(observations[0]));
}
public VectorData GetVector(IProcessingTextBlock textBlock, NormalizationType normalization)
{
var currentVector = model.GetParagraphVector(textBlock.Sentences);
return(vectorDataFactory.CreateSimple(normalization, Convert(currentVector)));
}
public bool Predict(IProcessingTextBlock data)
{
logger.LogDebug("Predict");
double[][] observations = vectorSource.GetVectors(new[] { data }, NormalizationType.None);
return(Model.Decide(observations[0]));
}
