public ClassificationResult Test()
{
var result = new ClassificationResult("Test");
foreach (var entry in dataSet.TestData)
{
var newX = SVMProblemBuilder.CreateNode(entry.stemmedClaim, dataSet.Vocabulary);
var predictedSentiment = model.Predict(newX);
var probability = model.PredictProbabilities(newX);
result.AddPrediction(entry.topicId, probability.Max(pair => pair.Value), entry.IsPredictionCorrect(predictedSentiment));
}
return(result);
}
public SVMClassifier(DataSet dataSet, double c)
{
this.dataSet = dataSet;
this.c = c;
problemBuilder = new SVMProblemBuilder();
}
