/// <summary>
/// Predicts the given Label from the object.
/// </summary>
/// <param name="o"></param>
/// <returns></returns>
public object Predict(object o)
{
var current = Generator.Descriptor.Convert(o, false).ToVector();
var predictions = Classifiers.Select(s => new Tuple <object, double>(s.Key, s.Value.PredictRaw(current)))
.OrderByDescending(or => or.Item2).ToArray();
return(predictions.FirstOrDefault().Item1);
}
/// <summary>
/// Predict all given Labels across all classifiers for the current object.
/// </summary>
/// <param name="o"></param>
/// <returns></returns>
public IEnumerable <object> PredictClasses(object o)
{
var current = Generator.Descriptor.ToVector(o);
var prediction = Classifiers.Select(s => new Tuple <object, double>(s.Key, s.Value.PredictRaw(current)))
.OrderByDescending(or => or.Item2);
var sum = prediction.Sum(s => s.Item2);
foreach (var predict in prediction)
{
if (predict.Item2 >= 0.5)
{
yield return(predict.Item1);
}
}
}
