public void RegressionModelSelectingEnsembleLearner_Constructor_CrossValidation_Null()
{
var learners = new IIndexedLearner <double> [4];
var metric = new MeanSquaredErrorRegressionMetric();
var ensembleStrategy = new MeanRegressionEnsembleStrategy();
var ensembleSelection = new ForwardSearchRegressionEnsembleSelection(metric, ensembleStrategy, 5, 1, true);
var sut = new RegressionModelSelectingEnsembleLearner(learners, null, ensembleStrategy, ensembleSelection);
}
public void RegressionModelSelectingEnsembleLearner_Constructor_Learners_Null()
{
var metric = new MeanSquaredErrorRegressionMetric();
var ensembleStrategy = new MeanRegressionEnsembleStrategy();
var ensembleSelection = new ForwardSearchRegressionEnsembleSelection(metric, ensembleStrategy, 5, 1, true);
var crossValidation = new RandomCrossValidation <double>(5);
var sut = new RegressionModelSelectingEnsembleLearner(null, crossValidation, ensembleStrategy, ensembleSelection);
}
public void ForwardSearchRegressionEnsembleSelection_Constructor_Number_Of_Availible_Models_Lower_Than_Number_Of_Models_To_Select()
{
var sut = new ForwardSearchRegressionEnsembleSelection(new MeanSquaredErrorRegressionMetric(),
new MeanRegressionEnsembleStrategy(), 5, 1, true);
var observations = new F64Matrix(10, 3);
var targets = new double[10];
sut.Select(observations, targets);
}
public void ForwardSearchRegressionEnsembleSelection_Select_Start_With_2_Models()
{
var sut = new ForwardSearchRegressionEnsembleSelection(new MeanSquaredErrorRegressionMetric(),
new MeanRegressionEnsembleStrategy(), 3, 2, true);
var random = new Random(42);
var observations = new F64Matrix(10, 10);
observations.Map(() => random.Next());
var targets = Enumerable.Range(0, 10).Select(v => random.NextDouble()).ToArray();
var actual = sut.Select(observations, targets);
var expected = new int[3] {
2, 3, 2
};
CollectionAssert.AreEqual(expected, actual);
}
public void ForwardSearchRegressionEnsembleSelection_Constructor_Number_Of_Models_From_Start_Larger_Than_Number_Of_Models_To_Select()
{
var sut = new ForwardSearchRegressionEnsembleSelection(
new MeanSquaredErrorRegressionMetric(),
new MeanRegressionEnsembleStrategy(), 3, 5, true);
}
public void ForwardSearchRegressionEnsembleSelection_Constructor_Number_Of_Models_Too_Low()
{
var sut = new ForwardSearchRegressionEnsembleSelection(
new MeanSquaredErrorRegressionMetric(),
new MeanRegressionEnsembleStrategy(), 0, 1, true);
}
public void ForwardSearchRegressionEnsembleSelection_Constructor_EnsembleStratey_Null()
{
var sut = new ForwardSearchRegressionEnsembleSelection(
new MeanSquaredErrorRegressionMetric(), null, 5, 1, true);
}
public void ForwardSearchRegressionEnsembleSelection_Constructor_Metric_Null()
{
var sut = new ForwardSearchRegressionEnsembleSelection(null,
new MeanRegressionEnsembleStrategy(), 5, 1, true);
}
