public int[] Predict(List <TrainingValue> predictionData)
{
if (!Trained)
{
throw new Exception("Train must be called first!");
}
double[][] featuresArray = new double[predictionData.Count][];
for (int i = 0; i < featuresArray.Length; i++)
{
featuresArray[i] = predictionData[i].Features;
}
switch (type)
{
case ClassifierType.DecisionTree:
return(tree.Decide(featuresArray));
case ClassifierType.LDA:
return(pipeline.Decide(featuresArray));
case ClassifierType.SVM:
return(convertBoolArray(svm.Decide(featuresArray)));
case ClassifierType.Bayes:
return(bayes.Decide(featuresArray));
}
return(null);
}
/// <summary>
/// Perform classification from loaded model and returns the infered class.
/// </summary>
/// <param name="vector">The input vector that should be list of double.</param>
/// <returns>Resultant class as an integer</returns>
public override int Classify(List <double> vector)
{
return(Model.Decide(vector.ToArray()));
}
public override double Classify(List <double> featureVector)
{
return(Model.Decide(featureVector.ToArray()));
}
