@Test
public void testBuildArchitecture() {
NeuralNetwork network = new NeuralNetwork();
network.getArchitecture().getArchitectureBuilder().addLayer(new LayerConfiguration(5));
network.getArchitecture().getArchitectureBuilder().addLayer(new LayerConfiguration(3));
network.getArchitecture().getArchitectureBuilder().addLayer(new LayerConfiguration(3, false));
network.getArchitecture().getArchitectureBuilder().addLayer(new LayerConfiguration(2));
network.getArchitecture().getArchitectureBuilder().getLayerBuilder().setDomain("R(-3,3)");
network.initialize();
// assert num layers
Assert.assertEquals(4, network.getArchitecture().getNumLayers());
// assert fully connected
Assert.assertEquals(36, network.getWeights().size());
// assert biasses
Assert.assertEquals(true, network.getArchitecture().getLayers().get(0).isBias());
int layerSize = network.getArchitecture().getLayers().get(0).size();
Assert.assertEquals(6, layerSize);
Assert.assertEquals(
-1,
network.getArchitecture().getLayers().get(0).getNeuralInput(layerSize - 1),
Maths.EPSILON);
Assert.assertEquals(true, network.getArchitecture().getLayers().get(1).isBias());
layerSize = network.getArchitecture().getLayers().get(1).size();
Assert.assertEquals(4, layerSize);
Assert.assertEquals(
-1,
network.getArchitecture().getLayers().get(1).getNeuralInput(layerSize - 1),
Maths.EPSILON);
Assert.assertEquals(false, network.getArchitecture().getLayers().get(2).isBias());
layerSize = network.getArchitecture().getLayers().get(2).size();
Assert.assertEquals(3, layerSize);
Assert.assertEquals(false, network.getArchitecture().getLayers().get(3).isBias());
layerSize = network.getArchitecture().getLayers().get(3).size();
Assert.assertEquals(2, layerSize);
}
