|
Class Summary |
| EvaluationParameters |
Contains the evaluation parameters (micro-macro precision, micro-macro
accuracy etc.) of a Multi label Mulan experiment. |
| ExperimentTable |
Gives the names and table field names for multi-label specific evaluation
measures (such as micro-accuracy, macro-accuracy, hamming loss etc.) |
| MulanEmitPredictions |
Class |
| MulanEvaluator |
Class created to extract individual evaluation results (not possible from the
Mulan class Evaluator, because only averaged results are returned). |
| MulanExperimenter |
Executes cross-evaluation (Mulan multi-label machine learning) and saves
results to database |
| MulanLearners |
Class |
| MulanSerializer |
Saves a trained classifier to file as a serialized object |
| MulanSerializerTest |
Class |
| MulanTrain |
Give arff and xml file path, weka algorithm, cross evaluation fold and it
emits learning results |