public void CanRunLinear()
{
DataVector result = nf_linear.Run(vector_2);
Assert.AreEqual(vector_2[0], result[0]);
Assert.AreEqual(vector_2[1], result[1]);
}
public void CanRunSigmoid()
{
NetworkVector result = nf_sigmoid.Run(vector_2);
NetworkVector outputCheck = new NetworkVector(new double[] { sigmoid(1), sigmoid(2) });
Assert.AreEqual(outputCheck, result);
}
public void CanRunSigmoid()
{
DataVector result = nf_sigmoid.Run(vector_2);
DataVector outputCheck =
new DataVector(Vector <double> .Build.DenseOfArray(new double[] { sigmoid(1), sigmoid(2) }));
Assert.AreEqual(outputCheck[0], result[0]);
Assert.AreEqual(outputCheck[1], result[1]);
}
public void CanRun()
{
DataVector result = nf_1.Run(vector_1);
Assert.AreEqual(vector_1[0], result[0]);
}
public void CanRunLinear()
{
NetworkVector result = nf_linear.Run(vector_2);
Assert.AreEqual(vector_2, result);
}
public void CanRun()
{
NetworkVector result = nf_1.Run(vector_1);
Assert.AreEqual(vector_1, result);
}
