public string Predict(Example e)
{
if (decisionList == null)
{
throw new RuntimeException("learner has not been trained with dataset yet!");
}
return(decisionList.predict(e));
}
public void testDecisonListWithNoTestsReturnsDefaultValue()
{
DecisionList dlist = new DecisionList("Yes", "No");
DataSet ds = DataSetFactory.getRestaurantDataSet();
Assert.AreEqual("No", dlist.predict(ds.getExample(0)));
}
public void testDecisionListWithSingleTestReturnsTestValueIfTestSuccessful()
{
DecisionList dlist = new DecisionList("Yes", "No");
DataSet ds = DataSetFactory.getRestaurantDataSet();
DLTest test = new DLTest();
test.add("type", "French");
dlist.add(test, "test1success");
Assert.AreEqual("test1success", dlist.predict(ds.getExample(0)));
}
public void testDecisionListFallsThruToDefaultIfNoTestMatches()
{
DecisionList dlist = new DecisionList("Yes", "No");
DataSet ds = DataSetFactory.getRestaurantDataSet();
aima.net.learning.inductive.DecisionListTest test1 = new aima.net.learning.inductive.DecisionListTest();
test1.add("type", "Thai"); // doesn't match first example
dlist.add(test1, "test1success");
aima.net.learning.inductive.DecisionListTest test2 = new aima.net.learning.inductive.DecisionListTest();
test2.add("type", "Burger");
dlist.add(test2, "test2success");// doesn't match first example
Assert.AreEqual("No", dlist.predict(ds.getExample(0)));
}
public void testDecisionListFallsThruToNextTestIfOneDoesntMatch()
{
DecisionList dlist = new DecisionList("Yes", "No");
DataSet ds = DataSetFactory.getRestaurantDataSet();
DLTest test1 = new DLTest();
test1.add("type", "Thai"); // doesn't match first example
dlist.add(test1, "test1success");
DLTest test2 = new DLTest();
test2.add("type", "French");
dlist.add(test2, "test2success");// matches first example
Assert.AreEqual("test2success", dlist.predict(ds.getExample(0)));
}
public void testDecisionListMerge()
{
DecisionList dlist1 = new DecisionList("Yes", "No");
DecisionList dlist2 = new DecisionList("Yes", "No");
DataSet ds = DataSetFactory.getRestaurantDataSet();
aima.net.learning.inductive.DecisionListTest test1 = new aima.net.learning.inductive.DecisionListTest();
test1.add("type", "Thai"); // doesn't match first example
dlist1.add(test1, "test1success");
aima.net.learning.inductive.DecisionListTest test2 = new aima.net.learning.inductive.DecisionListTest();
test2.add("type", "French");
dlist2.add(test2, "test2success");// matches first example
DecisionList dlist3 = dlist1.mergeWith(dlist2);
Assert.AreEqual("test2success", dlist3.predict(ds.getExample(0)));
}