/*
* public List<BayesResult> GetResults()
* {
* List<BayesResult> result = new List<BayesResult>();
* Net.UpdateBeliefs();
* foreach (BayesStructureSchema child in Schema)
* {
* for (int i = 0; i < 4; i++)
* {
* Net.SetEvidence(child.ChildId, "s" + i.ToString());
* Net.UpdateBeliefs();
* foreach (string parent in child.Parents)
* {
* for (int j = 0; j < 3; ++j)
* { //var f = Net.GetNodeValue(parent);
* double probability = (Net.GetNodeValue("result"))[j];
* result.Add(new BayesResult(parent, "s" + j.ToString(), child.ChildId, "s" + i.ToString(), probability));
* }
* }
* Net.ClearEvidence(child.ChildId);
* }
*
* }
* return result;
* }
*/
public BayesResult2 GetResult()
{
BayesResult2 result = new BayesResult2();
List <double> probabilities = new List <double>();
Net.UpdateBeliefs();
foreach (CancerData testData in this.Tdata)
{
Net.ClearAllEvidence();
foreach (string attr in StructureAttributes)
{
int idx = this.AttritubeToIndex(attr);
if (testData.attributes[idx] > -1 && attr.IndexOf('p') >= 0)
{
List <double> test = new List <double>();
test.AddRange(Net.GetNodeValue("result"));
Net.SetEvidence(attr, "s" + testData.attributes[idx]);
Net.UpdateBeliefs();
test.AddRange(Net.GetNodeValue("result"));
test.Clear();
}
}
probabilities.AddRange(Net.GetNodeValue("result"));
Console.WriteLine("Result:" + probabilities.ElementAt(0) + " " + probabilities.ElementAt(1) + " " + probabilities.ElementAt(2));
int cancerClass = this.ClassForMaxElement(probabilities);
if (cancerClass == testData.cancerClass)
{
result.Good++;
}
else
{
result.Bad++;
}
probabilities.Clear();
}
return(result);
}
/*
* public void PrintResult(List<BayesResult> result)
* {
* foreach(BayesResult b in result)
* {
* Console.WriteLine(b.ToString());
* }
* }
*/
public void PrintResult(BayesResult2 result)
{
Console.WriteLine("Good: {0}, Bad: {1}", result.Good, result.Bad);
}
