public static void BayesExample2()
{
using (BayesEngine b = new BayesEngine())
{
b.dataset.Add(new KeyValuePair <string, string[]>("Sex", new string[]
{ "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male",
"male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male", "male",
"female", "female", "female", "female", "female", "female", "female", "female", "female", "female",
"female", "female", "female", "female", "female", "female" }));
b.dataset.Add(new KeyValuePair <string, string[]>("Prof", new string[]
{ "tech", "tech", "tech", "tech", "tech", "tech", "tech", "tech", "tech", "tech", "tech", "tech",
"tech", "tech", "tech", "const", "const", "const", "const", "const", "admin", "admin", "edu", "edu",
"admin", "admin", "admin", "admin", "admin", "admin", "admin", "edu", "edu", "edu", "edu", "tech",
"tech", "tech", "tech", "tech" }));
b.dataset.Add(new KeyValuePair <string, string[]>("Hand", new string[]
{ "left", "left", "left", "left", "left", "left", "left", "right", "right", "right", "right", "right",
"right", "right", "right", "right", "right", "right", "right", "right", "right", "right", "right", "right",
"left", "left", "right", "right", "right", "right", "right", "right", "right", "right", "right", "right",
"right", "right", "right", "right" }));
b.dataset.Add(new KeyValuePair <string, string[]>("Height", new string[]
{ "short", "tall", "tall", "tall", "tall", "medium", "medium", "medium", "medium", "medium", "medium",
"medium", "medium", "medium", "medium", "medium", "medium", "medium", "medium", "medium", "medium",
"medium", "medium", "medium", "short", "short", "short", "short", "short", "short", "tall", "tall",
"medium", "medium", "medium", "medium", "medium", "medium", "medium", "medium" }));
// P(male|(edu|right|tall)) with smoothing
double r1 = b.BayesAX("male", new string[] { "male", "female" }, new string[] { "Sex", "Sex" },
new string[] { "edu", "right", "tall" }, new string[] { "Prof", "Hand", "Height" },
"Sex");
// P(male|(edu|right|tall)) without smoothing
double r2 = b.BayesAX("male", new string[] { "male", "female" }, new string[] { "Sex", "Sex" },
new string[] { "edu", "right", "tall" }, new string[] { "Prof", "Hand", "Height" },
"Sex", false);
// P(female|(edu|right|tall)) with smoothing
double r3 = b.BayesAX("female", new string[] { "male", "female" }, new string[] { "Sex", "Sex" },
new string[] { "edu", "right", "tall" }, new string[] { "Prof", "Hand", "Height" },
"Sex");
// P(female|(edu|right|tall)) without smoothing
double r4 = b.BayesAX("female", new string[] { "male", "female" }, new string[] { "Sex", "Sex" },
new string[] { "edu", "right", "tall" }, new string[] { "Prof", "Hand", "Height" },
"Sex", false);
Console.WriteLine("P(male|(edu|right|tall)) with smoothing: " + r1);
Console.WriteLine("P(male|(edu|right|tall)) without smoothing: " + r2);
Console.WriteLine("P(female|(edu|right|tall)) with smoothing: " + r3);
Console.WriteLine("P(female|(edu|right|tall)) without smoothing: " + r4);
}
}
public static void BayesExample1()
{
using (BayesEngine b = new BayesEngine())
{
b.dataset.Add(new KeyValuePair <string, string[]>("Department", new string[] { "Finance", "Finance", "Finance", "IT", "Finance" }));
b.dataset.Add(new KeyValuePair <string, string[]>("Sex", new string[] { "Female", "Female", "Male", "Male", "Male" }));
b.dataset.Add(new KeyValuePair <string, string[]>("Age", new string[] { "32", "36", "46", "40", "30" }));
b.dataset.Add(new KeyValuePair <string, string[]>("Role", new string[] { "Assistant Controller", "Senior Controller",
"Finance Director", "IT Manager", "Financial Lead" }));
// P(female | X) = [P(finance | female) * P(senior | female) * P(female)] / [PP(female | X) + PP(male | X)]
double r = b.BayesAX("Female", new string[] { "Female", "Male" }, new string[] { "Sex", "Sex" },
new string[] { "Finance", "Controller" },
new string[] { "Department", "Role" }, "Sex");
Console.WriteLine("P(female|(finance|senior)) with smoothing: " + r);
}
}
