public void SaveDecision(IPercept percept, IAction action)
{
var json = JsonConvert.SerializeObject(percept.ToDoubleArray());
_writer.WriteLine(json);
json = JsonConvert.SerializeObject(action.Raw);
_writer.WriteLine(json);
}
public NeuralNetAction Think(IPercept percept)
{
var data = percept.ToDoubleArray();
if (data.Length != _model.GetInputDimension().c)
{
throw new ArgumentOutOfRangeException(nameof(ArgumentOutOfRangeException),
$"Percept count should be {_model.GetInputDimension().c}, but is {data.Length}, check if the " +
$"input layer in DefaultLayer is set to the right value (currently: {_layers[0]})");
}
var input = new Data2D(1, 1, _layers[0], 1);
input.SetData(data);
var result = (Data2D)_model.ExecuteNetwork(input);
return(new NeuralNetAction(result.ToDoubleArray(_layers)));
}