Uses of Package
uk.ac.ed.inf.enzml.mulan.learn

Packages that use uk.ac.ed.inf.enzml.mulan.learn
test.mulan.learn   
test.mulan.learn.traintest   
uk.ac.ed.inf.enzml.mulan.learn   
uk.ac.ed.inf.enzml.mulan.learn.traintest   
uk.ac.ed.inf.enzml.mulan.predict   
 

Classes in uk.ac.ed.inf.enzml.mulan.learn used by test.mulan.learn
MulanCrossEvaluator
          Class created to execute cross-evaluations and extract individual evaluation results (not possible from the Mulan class Evaluator, because only averaged results are returned).
MulanCrossExperimenter
          Using Mulan (multi-label machine learning), this class initialises and executes either Train-Test evaluation (if two different arff records are given) (calling MulanTrainTestEvaluator) or cross-evaluations (calling MulanCrossEvaluator) if only one arff record is given.
MulanLearner
          Containing a Mulan learner and its name, that is: the name of the MultiLabelLearnerBase plus the name of the algorithm within
MulanSerializer
          Takes an arff file and an algorithm.
ResultsSaver
          Outputs cross-evaluation results to screen, file and database.
 

Classes in uk.ac.ed.inf.enzml.mulan.learn used by test.mulan.learn.traintest
MulanLearner
          Containing a Mulan learner and its name, that is: the name of the MultiLabelLearnerBase plus the name of the algorithm within
 

Classes in uk.ac.ed.inf.enzml.mulan.learn used by uk.ac.ed.inf.enzml.mulan.learn
EvaluatorNoAUC
          Prepares the evaluation measures taking into consideration the dataset size.
MulanCrossExperimenter
          Using Mulan (multi-label machine learning), this class initialises and executes either Train-Test evaluation (if two different arff records are given) (calling MulanTrainTestEvaluator) or cross-evaluations (calling MulanCrossEvaluator) if only one arff record is given.
MulanLearner
          Containing a Mulan learner and its name, that is: the name of the MultiLabelLearnerBase plus the name of the algorithm within
ResultsSaver
          Outputs cross-evaluation results to screen, file and database.
 

Classes in uk.ac.ed.inf.enzml.mulan.learn used by uk.ac.ed.inf.enzml.mulan.learn.traintest
EvaluatorNoAUC
          Prepares the evaluation measures taking into consideration the dataset size.
MulanCrossEvaluator
          Class created to execute cross-evaluations and extract individual evaluation results (not possible from the Mulan class Evaluator, because only averaged results are returned).
MulanCrossExperimenter
          Using Mulan (multi-label machine learning), this class initialises and executes either Train-Test evaluation (if two different arff records are given) (calling MulanTrainTestEvaluator) or cross-evaluations (calling MulanCrossEvaluator) if only one arff record is given.
MulanLearner
          Containing a Mulan learner and its name, that is: the name of the MultiLabelLearnerBase plus the name of the algorithm within
 

Classes in uk.ac.ed.inf.enzml.mulan.learn used by uk.ac.ed.inf.enzml.mulan.predict
MulanLearner
          Containing a Mulan learner and its name, that is: the name of the MultiLabelLearnerBase plus the name of the algorithm within