Package de.dfki.madm.mlwizard.landmarking

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.
 



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