public void TestToyBayesianRidgeObject()
{
var x = new double[, ] {
{ 1 }, { 2 }, { 6 }, { 8 }, { 10 }
};
var y = new double[] { 1, 2, 6, 8, 10 };
var clf = new BayesianRidgeRegression(computeScore: true);
clf.Fit(x, y);
var xTest = DenseMatrix.OfArray(new double[, ] {
{ 1 }, { 3 }, { 4 }
});
AssertExt.AlmostEqual(new double[] { 1, 3, 4 }, clf.Predict(xTest).Column(0).ToArray(), 1E-5);
}
[Ignore] //This test is ignored in scikit-learn also.
public void TestBayesianOnDiabetes()
{
//raise SkipTest("XFailed Test")
var diabetes = DiabetesDataset.Load();
var x = diabetes.Data;
var y = diabetes.Target;
var clf = new BayesianRidgeRegression(computeScore: true);
// Test with more samples than features
clf.Fit(x, y);
// Test that scores are increasing at each iteration
Assert.AreEqual(clf.Scores.Count - 1, clf.Scores.Diff().Count(v => v > 0));
// Test with more features than samples
x = x.SubMatrix(0, 5, 0, x.ColumnCount);
y = y.SubVector(0, 5);
clf.Fit(x, y);
// Test that scores are increasing at each iteration
Assert.AreEqual(clf.Scores.Count - 1, clf.Scores.Diff().Count(v => v > 0));
}