private void RenderNetworkOutline(Graphics g, GridObject go, Point p)
{
Rail rail = go as Rail;
if (rail == null)
{
return;
}
TrainNetwork network = TrainNetworkRegistry.GetNetworkForRail(rail);
if (network == null)
{
return;
}
using (Pen pen = new Pen(debugColors[network.ID % debugColors.Length]))
{
pen.Width = 3;
g.DrawRectangle(pen, p.X, p.Y, GlobalVars.GRIDSIZE, GlobalVars.GRIDSIZE);
}
}
public static object TrainNetwork(
[ExcelArgument(Name = "Name", Description = "The name of the neural network to be built")]
object nameXl,
[ExcelArgument(Name = "Input Activation Function", Description = "The activation function for the input layer")]
object inputActivationFuncXl,
[ExcelArgument(Name = "Input Layer has bias?", Description = "Whether or not the input layer has a bias")]
object inputHasBiasXl,
[ExcelArgument(Name = "Hidden Layer Config", Description = "A structured range detailing the network configuration")]
object hiddenConfigXl,
[ExcelArgument(Name = "Output Activation Function", Description = "The activation function for the output layer")]
object outputActivationFuncXl,
[ExcelArgument(Name = "Output Layer has bias?", Description = "Whether or not the output layer has a bias")]
object outputHasBiasXl,
[ExcelArgument(Name = "Inputs", Description = "The traning data inputs")]
object inputsXl,
[ExcelArgument(Name = "Targets", Description = "The training data target")]
object targetsXl,
[ExcelArgument(Name = "Error Tolerance", Description = "The error tolerance to train within")]
object errorToleranceXl,
[ExcelArgument(Name = "Epoch Cut-off", Description = "The maximum number of epoch to train for")]
object epochLimitXl)
{
var function = new TrainNetwork(Enums.FunctionType.Heavy | Enums.FunctionType.Sticky)
{
Name = Arg(nameXl, "Name"),
InputActivationFunction = Arg(inputActivationFuncXl, "Input Activation Function"),
InputHasBias = Arg(inputHasBiasXl, "Input Has Bias"),
HiddenLayerConfig = Arg(hiddenConfigXl, "Hidden Layer Configuration"),
OutputActivationFunction = Arg(outputActivationFuncXl, "Output Activation Function"),
OutputHasBias = Arg(outputHasBiasXl, "Output Bias Flag"),
Inputs = Arg(inputsXl, "Input Values"),
Targets = Arg(targetsXl, "Target Values"),
ErrorTolerance = Arg(errorToleranceXl, "Error Tolerance"),
EpochLimit = Arg(epochLimitXl, "Epoch Limit")
};
return(FunctionRunner.Run(function));
}
