NNX.Core.Training.SimpleGradientTrainer.Validate C# (CSharp) Method

        public override void Validate()
        {
            if (LearningRate <= 0)
                throw new NeuralNetworkException($"Property LearningRate must be positive; was {LearningRate}.");

            if (Momentum < 0)
                throw new NeuralNetworkException($"Property Momentum cannot be negative; was {Momentum}.");

            if (QuadraticRegularization < 0)
                throw new NeuralNetworkException(
                    $"Property QuadraticRegularization cannot be negative; was {QuadraticRegularization}.");

            if (NumEpochs <= 0)
                throw new NeuralNetworkException($"Property NumEpochs must be positive; was {NumEpochs}.");
        }

 public void Validate_IfQuadraticRegularizationNegative_Throw()
 {
     const double bad = -0.1;
     var trainer = new SimpleGradientTrainer { LearningRate = 0.1, NumEpochs = 100, QuadraticRegularization = bad };
     Action action = () => trainer.Validate();
     action.ShouldThrow<NeuralNetworkException>()
         .WithMessage($"*Property QuadraticRegularization cannot be negative; was {bad}*");
 }