public static KerasSymbol Cosine(KerasSymbol y_true, KerasSymbol y_pred) { return(Losses.CosineProximity(y_true, y_pred)); }
public static KerasSymbol MSPE(KerasSymbol y_true, KerasSymbol y_pred) { return(Losses.MeanAbsolutePercentageError(y_true, y_pred)); }
public static KerasSymbol MSLE(KerasSymbol y_true, KerasSymbol y_pred) { return(Losses.MeanSquaredLogrithmicError(y_true, y_pred)); }
public static KerasSymbol MSE(KerasSymbol y_true, KerasSymbol y_pred) { return(Losses.MeanSquaredError(y_true, y_pred)); }