public static void Main(string[] args)
{
Edu.Stanford.Nlp.Classify.RVFDataset <string, string> data = new Edu.Stanford.Nlp.Classify.RVFDataset <string, string>();
ClassicCounter <string> c1 = new ClassicCounter <string>();
c1.IncrementCount("fever", 3.5);
c1.IncrementCount("cough", 1.1);
c1.IncrementCount("congestion", 4.2);
ClassicCounter <string> c2 = new ClassicCounter <string>();
c2.IncrementCount("fever", 1.5);
c2.IncrementCount("cough", 2.1);
c2.IncrementCount("nausea", 3.2);
ClassicCounter <string> c3 = new ClassicCounter <string>();
c3.IncrementCount("cough", 2.5);
c3.IncrementCount("congestion", 3.2);
data.Add(new RVFDatum <string, string>(c1, "cold"));
data.Add(new RVFDatum <string, string>(c2, "flu"));
data.Add(new RVFDatum <string, string>(c3, "cold"));
data.SummaryStatistics();
LinearClassifierFactory <string, string> factory = new LinearClassifierFactory <string, string>();
factory.UseQuasiNewton();
LinearClassifier <string, string> c = factory.TrainClassifier(data);
ClassicCounter <string> c4 = new ClassicCounter <string>();
c4.IncrementCount("cough", 2.3);
c4.IncrementCount("fever", 1.3);
RVFDatum <string, string> datum = new RVFDatum <string, string>(c4);
c.JustificationOf((IDatum <string, string>)datum);
}
private static Edu.Stanford.Nlp.Classify.RVFDataset <string, string> ReadSVMLightFormat(string filename, IIndex <string> featureIndex, IIndex <string> labelIndex, IList <string> lines)
{
BufferedReader @in = null;
Edu.Stanford.Nlp.Classify.RVFDataset <string, string> dataset;
try
{
dataset = new Edu.Stanford.Nlp.Classify.RVFDataset <string, string>(10, featureIndex, labelIndex);
@in = IOUtils.ReaderFromString(filename);
while (@in.Ready())
{
string line = @in.ReadLine();
if (lines != null)
{
lines.Add(line);
}
dataset.Add(SvmLightLineToRVFDatum(line));
}
}
catch (IOException e)
{
throw new RuntimeIOException(e);
}
finally
{
IOUtils.CloseIgnoringExceptions(@in);
}
return(dataset);
}
public virtual Edu.Stanford.Nlp.Classify.RVFDataset <L, F> ScaleDatasetGaussian(Edu.Stanford.Nlp.Classify.RVFDataset <L, F> dataset)
{
Edu.Stanford.Nlp.Classify.RVFDataset <L, F> newDataset = new Edu.Stanford.Nlp.Classify.RVFDataset <L, F>(this.featureIndex, this.labelIndex);
for (int i = 0; i < dataset.Size(); i++)
{
RVFDatum <L, F> datum = ((RVFDatum <L, F>)dataset.GetDatum(i));
newDataset.Add(ScaleDatumGaussian(datum));
}
return(newDataset);
}
