public static void Mouse()
{
BaseAnimalModel.AnimalModelData MousePriors = new BaseAnimalModel.AnimalModelData(
new Gaussian(5.5, 2.22),
new Gaussian(0.0195, 0.000004),
new Gaussian(0.001141552511, 0.0000000225)
);
InferenceEngine engine = new InferenceEngine();
BaseAnimalModel Mouse = new BaseAnimalModel();
Mouse.CreateModel();
Mouse.SetModelData(MousePriors);
Mouse.SetNewPopulation(100);
Gaussian BornYoung = engine.Infer <Gaussian>(Mouse.GetBornYoung(0.5));
Console.WriteLine(
"Mouse BornYoung Mean: {0:f10}, Standard Deviation: {1:f10}",
BornYoung.GetMean(),
Math.Sqrt(BornYoung.GetVariance())
);
Gaussian NaturalDeath = engine.Infer <Gaussian>(Mouse.GetNaturalDeath());
Console.WriteLine(
"Mouse NaturalDeath Mean: {0:f10}, Standard Deviation: {1:f10}",
NaturalDeath.GetMean(),
Math.Sqrt(NaturalDeath.GetVariance())
);
}
public static void Cat()
{
BaseAnimalModel.AnimalModelData CatPriors = new BaseAnimalModel.AnimalModelData(
new Gaussian(5.5, 4),
new Gaussian(0.004102103451, 0.00000144),
new Gaussian(0.0007305936073, 0.0000000225)
);
Gaussian Catchrate = new Gaussian(13.5, 30.25);
InferenceEngine engine = new InferenceEngine();
CatModel Cat = new CatModel();
Cat.CreateModel();
Cat.SetModelData(CatPriors, Catchrate);
Cat.SetNewPopulation(10);
Gaussian CatchableMouse = engine.Infer <Gaussian>(Cat.GetCatchableMouse());
Console.WriteLine(
"Catchable Mouse Mean: {0:f10}, Standard Deviation: {1:f10}",
CatchableMouse.GetMean(),
Math.Sqrt(CatchableMouse.GetVariance())
);
}
public static void ContiniousView()
{
double InitialCatPopilation = 0;
double InitialMousePopulation = 2000;
int Iterations = 365;
InferenceEngine engine = new InferenceEngine();
BaseAnimalModel.AnimalModelData MousePriors = new BaseAnimalModel.AnimalModelData(
new Gaussian(5.5, 2.22),
new Gaussian(0.0195, 0.000004),
new Gaussian(0.001141552511, 0.0000000225)
);
BaseAnimalModel.AnimalModelData CatPriors = new BaseAnimalModel.AnimalModelData(
new Gaussian(5.5, 4),
new Gaussian(0.004102103451, 0.00000144),
new Gaussian(0.0007305936073, 0.0000000225)
);
Gaussian Catchrate = new Gaussian(13.5, 30.25);
CatAndMouse Model = new CatAndMouse();
Model.CreateModel();
Model.SetModelData(
MousePriors,
CatPriors,
Catchrate
);
Console.WriteLine(
engine.Infer(Model.GetPopulationForIteration(Iterations, InitialCatPopilation, InitialMousePopulation))
);
}
public void SetModelData(
BaseAnimalModel.AnimalModelData MousePriors,
BaseAnimalModel.AnimalModelData CatPriors,
Gaussian CatchrateDist
)
{
Mouse.SetModelData(MousePriors);
Cat.SetModelData(CatPriors, CatchrateDist);
}
public static void CatsAndMice()
{
InferenceEngine engine = new InferenceEngine();
BaseAnimalModel.AnimalModelData MousePriors = new BaseAnimalModel.AnimalModelData(
new Gaussian(5.5, 2.22),
new Gaussian(0.0195, 0.000004),
new Gaussian(0.001141552511, 0.0000000225)
);
BaseAnimalModel.AnimalModelData CatPriors = new BaseAnimalModel.AnimalModelData(
new Gaussian(5.5, 4),
new Gaussian(0.004102103451, 0.00000144),
new Gaussian(0.0007305936073, 0.0000000225)
);
Gaussian Catchrate = new Gaussian(13.5, 30.25);
CatAndMouse Model = new CatAndMouse();
Model.CreateModel();
Model.SetModelData(
MousePriors,
CatPriors,
Catchrate
);
Model.Cat.SetNewPopulation(5);
Model.Mouse.SetNewPopulation(1000);
Gaussian MouseBornYoung = engine.Infer <Gaussian>(Model.Mouse.GetBornYoung(0.5));
Gaussian MouseNaturalDeath = engine.Infer <Gaussian>(Model.Mouse.GetNaturalDeath());
Gaussian CatBornYoung = engine.Infer <Gaussian>(Model.Cat.GetBornYoung(0.5));
Gaussian CatNaturalDeath = engine.Infer <Gaussian>(Model.Cat.GetNaturalDeath());
Gaussian CatchedMouse = engine.Infer <Gaussian>(Model.GetCatchedMouse());
Gaussian DyingMouse = engine.Infer <Gaussian>(Model.GetDyingMouse());
Gaussian CatPopulationChange = engine.Infer <Gaussian>(Model.GetCatPopulationChange());
Gaussian MousePopulationChange = engine.Infer <Gaussian>(Model.GetMousePopulationChange());
Console.WriteLine(
"initial Mouse Population: {0:f2}, initial Cat Population: {1:f2}",
engine.Infer <Gaussian>(Model.Mouse.GetPopulation()).GetMean(),
engine.Infer <Gaussian>(Model.Cat.GetPopulation()).GetMean()
);
Console.WriteLine(
"Mouse NaturalDeath Mean: {0:f10}, Standard Deviation: {1:f10}",
MouseNaturalDeath.GetMean(),
Math.Sqrt(MouseNaturalDeath.GetVariance())
);
Console.WriteLine(
"Mouse BornYoung Mean: {0:f10}, Standard Deviation: {1:f10}",
MouseBornYoung.GetMean(),
Math.Sqrt(MouseBornYoung.GetVariance())
);
Console.WriteLine(
"Cat NaturalDeath Mean: {0:f10}, Standard Deviation: {1:f10}",
CatNaturalDeath.GetMean(),
Math.Sqrt(CatNaturalDeath.GetVariance())
);
Console.WriteLine(
"Cat BornYoung Mean: {0:f10}, Standard Deviation: {1:f10}",
CatBornYoung.GetMean(),
Math.Sqrt(CatBornYoung.GetVariance())
);
Console.WriteLine(
"CatchedMouse Mean: {0:f2}, Standard Deviation: {1:f2}",
CatchedMouse.GetMean(),
Math.Sqrt(CatchedMouse.GetVariance())
);
Console.WriteLine(
"DyingMouse Mean: {0:f2}, Standard Deviation: {1:f2}",
DyingMouse.GetMean(),
Math.Sqrt(DyingMouse.GetVariance())
);
Console.WriteLine(
"CatPopulationChange Mean: {0:f2}, Standard Deviation: {1:f2}",
CatPopulationChange.GetMean(),
Math.Sqrt(CatPopulationChange.GetVariance())
);
Console.WriteLine(
"MousePopulationChange Mean: {0:f2}, Standard Deviation: {1:f2}",
MousePopulationChange.GetMean(),
Math.Sqrt(MousePopulationChange.GetVariance())
);
}
