|
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. |