private static void Evaluation()
{
Dictionary <string, List <CsccContextInfo> >[] trainingModels;
var trainingModel = ContextModel <CsccContextInfo> .Load(Path.Combine(Model.GetModelDirectory(), "training_cscc"));
var namespaces = trainingModel.Contexts.ToList();
namespaces.Sort((a, b) => b.Value.Count.CompareTo(a.Value.Count));
trainingModels = new Dictionary <string, List <CsccContextInfo> > [10];
for (int i = 0; i < 10; i++)
{
trainingModels[i] = new Dictionary <string, List <CsccContextInfo> >();
}
for (int i = 0; i < namespaces.Count / 2; i++)
{
trainingModels[i % 10].Add(namespaces[i].Key, namespaces[i].Value);
trainingModels[i % 10].Add(namespaces[namespaces.Count - i - 1].Key, namespaces[namespaces.Count - i - 1].Value);
}
var result = 0.0;
foreach (var training in trainingModels)
{
result += new CsccEvaluationModel(training).Evaluate().AverageFmeasure;
Console.WriteLine(result);
}
Console.WriteLine(result / 10);
Console.ReadKey();
}
private static void CrossValidate()
{
var evaluationModel = new CsccEvaluationModel(LoadModel());
var result = evaluationModel.Evaluate();
Console.WriteLine(result);
Console.ReadKey();
}
public static void EvalCscc()
{
//var usageContexts = CombineCscc();
//var models = MostCommon(usageContexts);
var models = MostCommon(LoadCsccTrainingModel());
foreach (var model in models)
{
var evaluationModel = new CsccEvaluationModel(model);
Console.WriteLine(evaluationModel.Evaluate());
}
Console.ReadKey();
}
