public override KerasSymbol Call(KerasSymbol x)
{
KerasSymbol regularization = null;
if (this.l1 > 0)
{
regularization += K.Sum(this.l1 * K.Abs(x), null);
}
if (this.l2 > 0)
{
regularization += K.Sum(this.l2 * K.Square(x), null);
}
return(regularization);
}
public static KerasSymbol MeanAbsolutePercentageError(KerasSymbol y_true, KerasSymbol y_pred)
{
var diff = K.Abs((y_true - y_pred) / K.Clip(K.Abs(y_true), K.Epsilon(), null));
return(100 * K.Mean(diff, axis: -1));
}
public static KerasSymbol MeanAbsoluteError(KerasSymbol y_true, KerasSymbol y_pred)
{
return(K.Mean(K.Abs(y_pred - y_true), axis: -1));
}