public Machine(int numOfClasses, int numOfFeatures, int[] featureSelection, double noise)
: base(numOfClasses, numOfFeatures, featureSelection, noise)
{
this.trainModel = new TrainModel(numOfClasses, noise);
this.testModel = new TestModel(numOfClasses, noise);
}
public void TrainModelAndTestModelTest(string trainFile, string testFile)
{
var trainModel = new TrainModel(2, 0.1);
var trainDataset = new ClassifiedDataset(trainFile, 64, 2);
trainModel.Train(trainDataset.GetClassifiedVectors());
var testModel = new TestModel(2, 0.1);
var testDataset = new UnclassifiedDataset(testFile, 64);
var testData = testDataset.GetDataVectors().Select(v => v.FeatureVector).ToArray();
var results = testModel.Test(trainModel.GetInferredPosterier(), testData);
Assert.That(results.Length, Is.EqualTo(testData.Length));
}
