void Train()
{
// build input and output
List <Matrix <double> > xs = new List <Matrix <double> >();
List <Matrix <double> > y_s = new List <Matrix <double> >();
for (LinkedListNode <Vector3> i = inputs.First; i != inputs.Last.Next; i = i.Next)
{
Matrix <double> x = Matrix <double> .Build.Dense(1, inputDim);
x[0, 0] = i.Value.x;
x[0, 1] = i.Value.y;
x[0, 2] = i.Value.z;
xs.Add(x);
}
for (LinkedListNode <Vector2> i = targets.First; i != targets.Last.Next; i = i.Next)
{
Matrix <double> y_ = Matrix <double> .Build.Dense(1, outputDim);
y_[0, 0] = i.Value.x * 0.5 + 0.5;
y_[0, 1] = i.Value.y * 0.5 + 0.5;
y_s.Add(y_);
}
// train
loss = rnn.Train(xs, y_s, 1e-2);
}
