public static void eval(MaxentModel model, Reader r, Evalable e, bool verbose)
{
float totPos = 0, truePos = 0, falsePos = 0;
Event[] events = (e.getEventCollector(r)).getEvents(true);
//MaxentModel model = e.getModel(dir, name);
string negOutcome = e.NegativeOutcome;
foreach (Event @event in events)
{
string guess = model.getBestOutcome(model.eval(@event.Context));
string ans = @event.Outcome;
if (verbose)
{
Console.WriteLine(ans + " " + guess);
}
if (!ans.Equals(negOutcome))
{
totPos++;
}
if (!guess.Equals(negOutcome) && !guess.Equals(ans))
{
falsePos++;
}
else if (ans.Equals(guess))
{
truePos++;
}
}
Console.WriteLine("Precision: " + truePos / (truePos + falsePos));
Console.WriteLine("Recall: " + truePos / totPos);
}
/// <summary>
/// Replace the old model with a new one, forcing the replacement to wait until
/// all threads using the old model have finished using it.
/// </summary>
/// <param name="model">
/// The new model which is being swapped in. </param>
public virtual void replaceModel(MaxentModel model)
{
lock (this)
{
replacementThread = Thread.CurrentThread;
while (!replacementCanProceed)
{
Thread.Yield();
}
setter.setModel(model);
replacementThread = null;
}
}
public static void eval(MaxentModel model, Reader r, Evalable e)
{
eval(model, r, e, false);
}
/// <summary>
/// Sets the model for the given domain.
/// </summary>
/// <param name="domain">
/// The ModelDomain object which keys to the model. </param>
/// <param name="model">
/// The MaxentModel trained for the domain. </param>
public virtual void setModelForDomain(ModelDomain domain, MaxentModel model)
{
map[domain] = model;
}
public ModelApplier(MaxentModel m)
{
_model = m;
}
/// <summary>
/// Main method. Call as follows:
/// <para>
/// java ModelApplier modelFile dataFile
/// </para>
/// </summary>
public static void Main(string[] args)
{
string dataFileName, modelFileName;
bool real = false;
string type = "maxent";
int ai = 0;
if (args.Length == 0)
{
usage();
}
if (args.Length > 0)
{
while (args[ai].StartsWith("-", StringComparison.Ordinal))
{
if (args[ai].Equals("-real"))
{
real = true;
}
else if (args[ai].Equals("-perceptron"))
{
type = "perceptron";
}
else
{
usage();
}
ai++;
}
modelFileName = args[ai++];
dataFileName = args[ai++];
ModelApplier predictor = null;
try
{
MaxentModel m = (new GenericModelReader(new Jfile(modelFileName))).Model;
predictor = new ModelApplier(m);
}
catch (Exception e)
{
Console.WriteLine(e.ToString());
Console.Write(e.StackTrace);
Environment.Exit(0);
}
try
{
EventStream es =
new BasicEventStream(new PlainTextByLineDataStream(new FileReader(new Jfile(dataFileName))), ",");
while (es.hasNext())
{
predictor.eval(es.next(), real);
}
return;
}
catch (Exception e)
{
Console.WriteLine("Unable to read from specified file: " + modelFileName);
Console.WriteLine();
Console.WriteLine(e.ToString());
Console.Write(e.StackTrace);
}
}
}
