Uses of Interface
org.dllearner.algorithms.ocel.ExampleBasedHeuristic

Packages that use ExampleBasedHeuristic

Package	Description
org.dllearner.algorithms.ocel	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.ocel

Classes in org.dllearner.algorithms.ocel that implement ExampleBasedHeuristic

Modifier and Type	Class and Description
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
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.

Methods in org.dllearner.algorithms.ocel that return ExampleBasedHeuristic

Modifier and Type	Method and Description
ExampleBasedHeuristic	OCEL.getHeuristic()

Methods in org.dllearner.algorithms.ocel with parameters of type ExampleBasedHeuristic

Modifier and Type	Method and Description
void	OCEL.setHeuristic(ExampleBasedHeuristic heuristic)