public void SetupNetwork()
{
_vectors = Substitute.For<WordVectors>();
_sentences = Substitute.For<Sentences>();
SentenceLearner.NeuralNetworkFactory = _neuralNetworkFactory = new NeuralNetworkFactory();
_contextMaps = new ContextMaps();
_target = new SentenceLearner(_vectors, _sentences,_contextMaps);
}
public void TestNetwork()
{
var wordVector = new WordVector() {Name = "test"};
var elements = new[] {0.1, 0.2, 0.3};
elements.CopyTo(wordVector.Elements,0);
var context = new[] {0.4, 0.5};
var factory = new NeuralNetworkFactory();
var network = factory.CreateNeuralNetwork(2, 2);
var examples = new[]
{
new Example {Input = new [] {1.0, 0.0}, ExpectedResult = new []{1.0}},
new Example {Input = new [] {0.0, 1.0}, ExpectedResult = new []{1.0}},
new Example {Input = new [] {1.0, 1.0}, ExpectedResult = new []{0.0}},
new Example {Input = new [] {0.0, 0.0}, ExpectedResult = new []{0.0}}
};
var error = network.Train(examples,0.1);
var result = network.Run(new[] {0.0, 0.0});
result[0].Should().BeLessOrEqualTo(error + 0.1);
}
public void TestNeuralNetworkFactory()
{
var target = new NeuralNetworkFactory();
var result = target.CreateNeuralNetwork(3, 2);
result.Should().BeAssignableTo<AForgeNeuralNetwork>();
}
static SentenceLearner()
{
NeuralNetworkFactory = new NeuralNetworkFactory();
}
