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| Packages that use ExampleBasedHeuristic | |
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| org.dllearner.algorithms.refinement2 | New experimental refinement operator approach, which takes obtained information about concrete examples in an algorithm run stronger into account. |
| Uses of ExampleBasedHeuristic in org.dllearner.algorithms.refinement2 |
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| Classes in org.dllearner.algorithms.refinement2 that implement ExampleBasedHeuristic | |
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class |
FlexibleHeuristic
This heuristic compares two nodes by computing a score using the number of covered negatives and the horizontal expansion factor of a node as input. |
class |
LexicographicHeuristic
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class |
MultiHeuristic
This heuristic combines the following criteria to assign a double score value to a node: quality/accuracy of a concept (based on the full training set, not the negative example coverage as the flexible heuristic) horizontal expansion accuracy gain: The heuristic takes into account the accuracy difference between a node and its parent. |
| Constructors in org.dllearner.algorithms.refinement2 with parameters of type ExampleBasedHeuristic | |
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ROLearner2(ROLComponent2Configurator configurator,
LearningProblem learningProblem,
ReasonerComponent rs,
RefinementOperator operator,
ExampleBasedHeuristic heuristic,
Description startDescription,
double noise,
boolean writeSearchTree,
boolean replaceSearchTree,
File searchTreeFile,
boolean useTooWeakList,
boolean useOverlyGeneralList,
boolean useShortConceptConstruction,
boolean usePropernessChecks,
int maxPosOnlyExpansion,
int maxExecutionTimeInSeconds,
int minExecutionTimeInSeconds,
int guaranteeXgoodDescriptions,
int maxClassDescriptionTests,
boolean forceRefinementLengthIncrease)
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