protected Performance.Performance runExperiment(Classifier.Classifier classifier, Parameter.Parameter parameter,
CrossValidation <Instance.Instance> crossValidation)
{
var trainSet = new InstanceList.InstanceList(crossValidation.GetTrainFold(0));
var testSet = new InstanceList.InstanceList(crossValidation.GetTestFold(0));
return(classifier.SingleRun(parameter, trainSet, testSet));
}
protected void RunExperiment(Classifier.Classifier classifier, Parameter.Parameter parameter,
ExperimentPerformance experimentPerformance, CrossValidation <Instance.Instance> crossValidation,
InstanceList.InstanceList testSet)
{
for (var i = 0; i < K; i++)
{
var trainSet = new InstanceList.InstanceList(crossValidation.GetTrainFold(i));
classifier.Train(trainSet, parameter);
experimentPerformance.Add(classifier.Test(testSet));
}
}
/**
* <summary> Constructor for a specific machine learning experiment</summary>
* <param name="classifier">Classifier used in the machine learning experiment</param>
* <param name="parameter">Parameter(s) of the classifier.</param>
* <param name="dataSet">DataSet on which the classifier is run.</param>
*/
public Experiment(Classifier.Classifier classifier, Parameter.Parameter parameter, DataSet.DataSet dataSet)
{
this._classifier = classifier;
this._parameter = parameter;
this._dataSet = dataSet;
}
