private static Symbol MeanAbsoluteLogError(Symbol preds, Symbol labels)
{
Symbol first_log = OperatorSupply.Log(OperatorSupply.Clip(preds, float.Epsilon, 0) + 1);
Symbol second_log = OperatorSupply.Log(OperatorSupply.Clip(labels, float.Epsilon, 0) + 1);
Symbol loss = OperatorSupply.Mean(OperatorSupply.Square(first_log - second_log));
return(new Operator("MakeLoss").SetInput("data", loss).CreateSymbol("MeanAbsoluteLogError"));
}
private static Symbol KullbackLeiblerDivergence(Symbol preds, Symbol labels)
{
Symbol y_true = OperatorSupply.Clip(labels, float.Epsilon, 1);
Symbol y_pred = OperatorSupply.Clip(preds, float.Epsilon, 1);
Symbol loss = OperatorSupply.Sum(y_true * OperatorSupply.Log(y_true / y_pred));
return(new Operator("MakeLoss").SetInput("data", loss).CreateSymbol("KullbackLeiblerDivergence"));
}
private static Symbol Hinge(Symbol preds, Symbol labels)
{
Symbol loss = OperatorSupply.Mean(OperatorSupply.MaximumScalar(1 - (labels * preds), 0));
return(new Operator("MakeLoss").SetInput("data", loss).CreateSymbol("Hinge"));
}
private static Symbol MeanAbsolutePercentageError(Symbol preds, Symbol labels)
{
Symbol loss = OperatorSupply.Mean(OperatorSupply.Abs(labels - preds) / OperatorSupply.Clip(OperatorSupply.Abs(labels), float.Epsilon, 0));
return(new Operator("MakeLoss").SetInput("data", loss).CreateSymbol("MeanAbsolutePercentageError"));
}
private static Symbol Poisson(Symbol preds, Symbol labels)
{
Symbol loss = OperatorSupply.Mean(preds - labels * OperatorSupply.Log(preds + float.Epsilon));
return(new Operator("MakeLoss").SetInput("data", loss).CreateSymbol("Poisson"));
}
