private DecisionList DecisionListLearning(DataSet ds)
{
if (ds.Count == 0)
{
return(new DecisionList(positive, negative));
}
var possibleTests = testFactory.CreateDLTestsWithAttributeCount(ds, 1);
DLTest test = this.GetValidTest(possibleTests, ds);
if (test == null)
{
return(new DecisionList(null, Failure));
}
// at this point there is a test that classifies some subset of examples
// with the same target value
DataSet matched = test.MatchedExamples(ds);
var list = new DecisionList(positive, negative);
list.Add(test, matched.GetExample(0).TargetValue());
return(list.MergeWith(this.DecisionListLearning(test.UnmatchedExamples(ds))));
}
private void FindVolume()
{
DecisionList.Add(new Formulas(cube.FindVolumes(Given)));
Answer.Add(answer.FindAnswerVolume(DecisionList, Find));
}
private void FindRib()
{
DecisionList.Add(new Formulas(cube.FindRibs(Given, Figure)));
Answer.Add(answer.FindAnswerRib(DecisionList, Find));
}
