Class Summary |
AbstractLandmarker |
Abstract superclass of all landmark learner classes, used in the landmark
operator. |
AverageNodeLm |
This landmark learner is an Average landmark learner, where a
DecisionStumpLearner for each attribute is created and then the
performance average is calculated. |
DecisionNodeLm |
This landmark learner is a DecisionStumpLearner , where a single
decision node is chosen according to the highest gain ratio. |
KNNLearnerLm |
This landmark learner uses the KNNLearner , where the k-value is by
default 1 except it is changed by the user. |
LandmarkingParameters |
This class contains parameters needed by the LandmarkingOperator and
the AbstractLandmarker . |
NaiveBayesLm |
This landmark learner is a NaiveBayes learner. |
RandomlyChosenNodeLm |
This landmark learner is a DecisionStumpLearner , where a single
decision node is chosen randomly. |
WorstNodeLm |
This landmark learner is a DecisionStumpLearner , where a single
decision node is chosen according to the smallest gain ratio. |