public void TestEnumeration2()
{
BayesianNetwork network = new BayesianNetwork();
BayesianEvent a = network.CreateEvent("a");
BayesianEvent x1 = network.CreateEvent("x1");
BayesianEvent x2 = network.CreateEvent("x2");
BayesianEvent x3 = network.CreateEvent("x3");
network.CreateDependency(a, x1, x2, x3);
network.FinalizeStructure();
a.Table.AddLine(0.5, true); // P(A) = 0.5
x1.Table.AddLine(0.2, true, true); // p(x1|a) = 0.2
x1.Table.AddLine(0.6, true, false); // p(x1|~a) = 0.6
x2.Table.AddLine(0.2, true, true); // p(x2|a) = 0.2
x2.Table.AddLine(0.6, true, false); // p(x2|~a) = 0.6
x3.Table.AddLine(0.2, true, true); // p(x3|a) = 0.2
x3.Table.AddLine(0.6, true, false); // p(x3|~a) = 0.6
network.Validate();
EnumerationQuery query = new EnumerationQuery(network);
query.DefineEventType(x1, EventType.Evidence);
query.DefineEventType(x2, EventType.Evidence);
query.DefineEventType(x3, EventType.Evidence);
query.DefineEventType(a, EventType.Outcome);
query.SetEventValue(a, true);
query.SetEventValue(x1, true);
query.SetEventValue(x2, true);
query.SetEventValue(x3, false);
query.Execute();
TestPercent(query.Probability, 18);
}
public void Execute(IExampleInterface app)
{
// build the bayesian network structure
BayesianNetwork network = new BayesianNetwork();
BayesianEvent BlueTaxi = network.CreateEvent("blue_taxi");
BayesianEvent WitnessSawBlue = network.CreateEvent("saw_blue");
network.CreateDependency(BlueTaxi, WitnessSawBlue);
network.FinalizeStructure();
// build the truth tales
BlueTaxi.Table.AddLine(0.85, true);
WitnessSawBlue.Table.AddLine(0.80, true, true);
WitnessSawBlue.Table.AddLine(0.20, true, false);
// validate the network
network.Validate();
// display basic stats
Console.WriteLine(network.ToString());
Console.WriteLine("Parameter count: " + network.CalculateParameterCount());
EnumerationQuery query = new EnumerationQuery(network);
//SamplingQuery query = new SamplingQuery(network);
query.DefineEventType(WitnessSawBlue, EventType.Evidence);
query.DefineEventType(BlueTaxi, EventType.Outcome);
query.SetEventValue(WitnessSawBlue, false);
query.SetEventValue(BlueTaxi, false);
query.Execute();
Console.WriteLine(query.ToString());
}
public void Execute(IExampleInterface app)
{
// Create a Bayesian network
BayesianNetwork network = new BayesianNetwork();
// Create the Uber driver event
BayesianEvent UberDriver = network.CreateEvent("uber_driver");
// create the witness event
BayesianEvent WitnessSawUberDriver = network.CreateEvent("saw_uber_driver");
// Attach the two
network.CreateDependency(UberDriver, WitnessSawUberDriver);
network.FinalizeStructure();
// build the truth tables
UberDriver?.Table?.AddLine(0.85, true);
WitnessSawUberDriver?.Table?.AddLine(0.80, true, true);
WitnessSawUberDriver?.Table?.AddLine(0.20, true, false);
network.Validate();
Console.WriteLine(network.ToString());
Console.WriteLine($"Parameter count: {network.CalculateParameterCount()}");
EnumerationQuery query = new EnumerationQuery(network);
// The evidence is that someone saw the Uber driver hit the car
query.DefineEventType(WitnessSawUberDriver, EventType.Evidence);
// The result was the Uber driver did it
query.DefineEventType(UberDriver, EventType.Outcome);
query.SetEventValue(WitnessSawUberDriver, false);
query.SetEventValue(UberDriver, false);
query.Execute();
Console.WriteLine(query.ToString());
}
static void Main(string[] args)
{
/*Przykład 4.2.3 Teoria Bayesa - Zakłady Produkcyjne Etap Manualny
* Lesson 1 - Machine Learning in C# for Amazon ML Group created by me :-)
* PS. Kill me I use polish :-)
*/
BayesianNetwork network = new BayesianNetwork();
BayesianEvent WadliwyElement = network.CreateEvent("wadliwy_element");
BayesianEvent A1 = network.CreateEvent("wadliwy_element_zaklad_A1");
BayesianEvent A2 = network.CreateEvent("wadliwy_element_zaklad_A2");
BayesianEvent A3 = network.CreateEvent("wadliwy_element_zaklad_A3");
BayesianEvent A4 = network.CreateEvent("wadliwy_element_zaklad_A4");
network.CreateDependency(WadliwyElement, A1, A2, A3, A4);
network.FinalizeStructure();
WadliwyElement?.Table?.AddLine(0.1083, true);
A1?.Table.AddLine(0.069, true, true);
A1?.Table.AddLine(1 - 0.069, true, false);
A2?.Table.AddLine(0.277, true, true);
A2?.Table.AddLine(1 - 0.277, true, false);
A3?.Table.AddLine(0.007, true, true);
A3?.Table.AddLine(1 - 0.007, true, false);
A4?.Table.AddLine(0.646, true, true);
A4?.Table.AddLine(1 - 0.646, true, false);
network.Validate();
Console.WriteLine(network.ToString() + "\n");
Console.WriteLine($"Liczba parametrów: {network.CalculateParameterCount()}");
EnumerationQuery query = new EnumerationQuery(network);
query.DefineEventType(WadliwyElement, EventType.Evidence);
query.DefineEventType(A1, EventType.Outcome);
query.DefineEventType(A2, EventType.Evidence);
query.DefineEventType(A3, EventType.Evidence);
query.DefineEventType(A4, EventType.Evidence);
query.SetEventValue(WadliwyElement, false);
query.SetEventValue(A1, false);
query.SetEventValue(A2, false);
query.SetEventValue(A3, false);
query.SetEventValue(A4, false);
query.Execute();
Console.WriteLine(query.ToString());
}
public void TestEnumeration1()
{
BayesianNetwork network = new BayesianNetwork();
BayesianEvent a = network.CreateEvent("a");
BayesianEvent b = network.CreateEvent("b");
network.CreateDependency(a, b);
network.FinalizeStructure();
a.Table.AddLine(0.5, true); // P(A) = 0.5
b.Table.AddLine(0.2, true, true); // p(b|a) = 0.2
b.Table.AddLine(0.8, true, false); // p(b|~a) = 0.8
network.Validate();
EnumerationQuery query = new EnumerationQuery(network);
query.DefineEventType(a, EventType.Evidence);
query.DefineEventType(b, EventType.Outcome);
query.SetEventValue(b, true);
query.SetEventValue(a, true);
query.Execute();
TestPercent(query.Probability, 20);
}
