public void BackwardEliminationClassificationEnsembleSelection_Select()
{
var sut = new BackwardEliminationClassificationEnsembleSelection(new LogLossClassificationProbabilityMetric(),
new MeanProbabilityClassificationEnsembleStrategy(), 3);
var random = new Random(42);
var observations = CreateModelPredictions(random);
var targets = Enumerable.Range(0, 10).Select(v => (double)random.Next(1)).ToArray();
var actual = sut.Select(observations, targets);
var expected = new int[] { 1, 7 };
CollectionAssert.AreEqual(expected, actual);
}
public void BackwardEliminationClassificationEnsembleSelection_Constructor_EnsembleStratey_Null()
{
var sut = new BackwardEliminationClassificationEnsembleSelection(new LogLossClassificationProbabilityMetric(), null, 5);
}
public void BackwardEliminationClassificationEnsembleSelection_Constructor_Number_Of_Models_Too_Low()
{
var sut = new BackwardEliminationClassificationEnsembleSelection(new LogLossClassificationProbabilityMetric(),
new MeanProbabilityClassificationEnsembleStrategy(), 0);
}
public void BackwardEliminationClassificationEnsembleSelection_Constructor_Metric_Null()
{
var sut = new BackwardEliminationClassificationEnsembleSelection(null, new MeanProbabilityClassificationEnsembleStrategy(), 5);
}
