public void Test_MinMaxNormalization()
{
// Given
var matrix = Matrix <double> .Build.DenseOfArray(new double[, ]
{
{ 1.0, 2.0 },
{ 5.0, 5.0 },
{ 10.0, 8.0 }
});
var expectedMatrix = Matrix <double> .Build.DenseOfArray(new double[, ]
{
{ 0.0, 2.0 },
{ 0.444, 5.0 },
{ 1.0, 8.0 }
});
var subject = new MinMaxNormalizer();
// When
var actualMatrix = subject.NormalizeColumns(matrix, new [] { 0 });
// Then
Assert.IsTrue(expectedMatrix.AlmostEqual(actualMatrix, 0.009));
}
/// <summary>
/// Initializes a new ReinforcementGenerator instance.
/// </summary>
protected ReinforcementGenerator()
{
NormalizeFeatures = false;
FeatureNormalizer = new MinMaxNormalizer();
}
/// <summary>
/// Initializes a new Generator instance.
/// </summary>
protected Generator()
{
NormalizeFeatures = false;
FeatureNormalizer = new MinMaxNormalizer();
}
