public void FeatureMetadata_FilterOnlyX_ExpectSingleItem()
{
var ext = new ObjectFeatureExtractorFactory();
var fe = ext.CreateFeatureExtractor<FeatureObject>();
var tfe = new TransformingFeatureExtractor<FeatureObject, double>(fe, null, f => f.Label == "x");
var featurex = tfe.FeatureMetadata.Single();
Assert.That(featurex.DataType == System.TypeCode.Int32);
Assert.That(featurex.Label == "x");
}
public void FeatureMetadata_AggregateInputsInto1D_ExpectSingleItem()
{
var ext = new ObjectFeatureExtractorFactory();
var fe = ext.CreateFeatureExtractor<FeatureObject>();
var tfe = new TransformingFeatureExtractor<FeatureObject, double>(fe, v => new double[] { v[0] * v[1] * v[2] });
tfe.NormaliseUsing(new FeatureObject[] { new FeatureObject() { x = 10, y = 10, z = 10 } });
var trasnformedFeature = tfe.FeatureMetadata.Single();
Assert.That(trasnformedFeature.DataType == System.TypeCode.Double);
Assert.That(trasnformedFeature.Index == 0);
Assert.That(trasnformedFeature.Label == "Transform 1");
var vector = tfe.ExtractVector(new FeatureObject()
{
x = 3,
y = 5,
z = 7
});
Assert.That(vector.First(), Is.EqualTo((3d / 10d) * (5d / 10d) * (7d / 10d)));
}
public void CreateFeatureExtractor_SimpleObject()
{
var fo = new ObjectFeatureExtractorFactory();
var fe = fo.CreateFeatureExtractorFunc<FeatureObject>();
var data = fe(new FeatureObject()
{
Height = 105.23,
Quantity = 16,
Width = 123.6f,
Cost = 12,
Category = "a",
Amount = 4323.31M
});
Assert.That(data.Length, Is.EqualTo(5));
Assert.That(data[0], Is.EqualTo(12d));
Assert.That(data[1], Is.EqualTo(105.23d));
Assert.That(data[2], Is.EqualTo(16d));
Assert.That(data[2], Is.EqualTo(16d));
Assert.That(Math.Round(data[3], 1), Is.EqualTo(123.6d));
Assert.That(data[4], Is.EqualTo(0.5d));
}
