public void ClassificationAdaBoostModel_Load()
{
var(observations, targets) = DataSetUtilities.LoadAptitudeDataSet();
var reader = new StringReader(m_classificationAdaBoostModelString);
var sut = ClassificationAdaBoostModel.Load(() => reader);
var predictions = sut.Predict(observations);
var evaluator = new TotalErrorClassificationMetric <double>();
var error = evaluator.Error(targets, predictions);
Assert.AreEqual(0.19230769230769232, error, 0.0000001);
}
public void ClassificationAdaBoostModel_Load()
{
var parser = new CsvParser(() => new StringReader(Resources.AptitudeData));
var observations = parser.EnumerateRows(v => v != "Pass").ToF64Matrix();
var targets = parser.EnumerateRows("Pass").ToF64Vector();
var reader = new StringReader(ClassificationAdaBoostModelString);
var sut = ClassificationAdaBoostModel.Load(() => reader);
var predictions = sut.Predict(observations);
var evaluator = new TotalErrorClassificationMetric <double>();
var error = evaluator.Error(targets, predictions);
Assert.AreEqual(0.19230769230769232, error, 0.0000001);
}
