public static ClassifierParams Create(ClassifierType type, ClassificationAlgorithmType algorithmType, string targetTag)
{
return new ClassifierParams
{
Type = type,
TargetTag = targetTag,
SamplingParams = new SamplingParams { NeedSampling = false },
ClassificationAlgorithmParams = new ClassificationAlgorithmParams { Type = algorithmType},
FeatureSelectionParams = new FeatureSelectionParams {Type = FeatureSelectorType.Unknown }
};
}
public void FeatureSelectionExperiment(ClassificationAlgorithmType algorithmType, string targetTag, FeatureSelectorType featureSelectorType)
{
var classifierParamses = Enumerable
.Range(1, 40)
.Where(i => i <= 5 || i % 5 == 0)
.Select(i => ClassifierParams
.Create(ClassifierType.Simple, algorithmType, targetTag)
.SelectFeatures(featureSelectorType, 0, i, 0, 1000))
.ToArray();
EvaluateManyClassifiers(classifierParamses, targetTag, x => string.Format("Selector {0} with selection percent {1}", x.FeatureSelectionParams.Type, x.FeatureSelectionParams.UpperBoundPercent));
}
public void FinalExam(ClassificationAlgorithmType algorithmType, string targetTag)
{
var problems = problemService.LoadAllDocumentsFromStorage();
var classifierParams = ClassifierParams
.Create(ClassifierType.Simple, algorithmType, targetTag)
.SelectFeatures(FeatureSelectorType.ChiSquared, 0, 10, 0, 1000);
var overall = EvaluateSingle(problems, classifierParams, TestsCount, 60, DebugLevel.FullWithDump);
PrintDelimeter();
Console.WriteLine(overall.FScore);
}
