public void ConstantTest()
{
var in1 = new ModelInput("in1")
{
Distribution = Distribution.InitGaussian(10, 0.31)
};
var op1 = new ModelFormula("op1")
{
Formula = "in1 * 3"
};
var model = new Model();
model.Add(in1, op1);
model.Solve();
Utils.AssertIsInRange(op1.Output.GetMean(), 30, 0.5);
}
public static void Main(string[] args)
{
var in1 = new ModelInput("in1")
{
Distribution = Distribution.InitGaussian(10, 0.31)
};
var in2 = new ModelInput("in2")
{
Distribution = Distribution.InitGaussian(3, 0.31)
};
var in3 = new ModelInput("in3")
{
Distribution = Distribution.InitGaussian(5, 0.61)
};
var in4 = new ModelInput("c")
{
Distribution = Distribution.InitConstant(10)
};
var op1 = new ModelFormula("op1")
{
Formula = "in1 * in2"
};
var op2 = new ModelFormula("op2")
{
Formula = "op1 * in3 * c"
};
var model = new Model();
model.Add(in1, in2, op1, in3, in4, op2);
model.Solve();
Console.WriteLine("Result: mean: {0} stddev: {1}", op2.Output.GetMean(), op2.Output.GetStdDeviation());
Console.WriteLine("Result histogram:");
PrintDistroChart(op2.Output.RawItems);
}
