| Package | Description |
|---|---|
| org.aksw.limes.core.ml.algorithm | |
| org.aksw.limes.core.ml.algorithm.wombat |
| Modifier and Type | Field and Description |
|---|---|
protected RefinementNode |
WombatComplete.bestSolutionNode |
protected RefinementNode |
WombatSimple.bestSolutionNode |
| Modifier and Type | Method and Description |
|---|---|
RefinementNode |
WombatComplete.findBestSolution() |
RefinementNode |
WombatSimple.findBestSolution() |
| Modifier and Type | Method and Description |
|---|---|
protected List<RefinementNode> |
WombatSimple.getBestKNodes(Tree<RefinementNode> r,
int k) |
protected TreeSet<RefinementNode> |
WombatSimple.getSortedNodes(Tree<RefinementNode> r,
double penaltyWeight,
TreeSet<RefinementNode> result) |
| Modifier and Type | Method and Description |
|---|---|
protected List<RefinementNode> |
WombatSimple.getBestKNodes(Tree<RefinementNode> r,
int k) |
protected TreeSet<RefinementNode> |
WombatSimple.getSortedNodes(Tree<RefinementNode> r,
double penaltyWeight,
TreeSet<RefinementNode> result) |
protected TreeSet<RefinementNode> |
WombatSimple.getSortedNodes(Tree<RefinementNode> r,
double penaltyWeight,
TreeSet<RefinementNode> result) |
protected void |
WombatSimple.updateScores(Tree<RefinementNode> r)
update precision, recall and F-Measure of the refinement tree r
based on either training data or PFM
|
| Modifier and Type | Field and Description |
|---|---|
protected Tree<RefinementNode> |
AWombat.refinementTreeRoot |
| Modifier and Type | Method and Description |
|---|---|
protected RefinementNode |
AWombat.createNode(AMapping mapping,
String metricExpr)
Create new RefinementNode using either real or pseudo-F-Measure
|
protected RefinementNode |
AWombat.createNode(String metricExpr) |
| Modifier and Type | Method and Description |
|---|---|
protected Tree<RefinementNode> |
AWombat.getMostPromisingNode(Tree<RefinementNode> r,
double penaltyWeight)
Get the most promising node as the node with the best F-score
|
| Modifier and Type | Method and Description |
|---|---|
int |
RefinementNode.compareTo(RefinementNode o) |
| Modifier and Type | Method and Description |
|---|---|
protected double |
AWombat.computePenalty(Tree<RefinementNode> promesyChild) |
protected AMapping |
AWombat.getMapingOfMetricFromTree(String metricExpression,
Tree<RefinementNode> r) |
protected Tree<RefinementNode> |
AWombat.getMostPromisingNode(Tree<RefinementNode> r,
double penaltyWeight)
Get the most promising node as the node with the best F-score
|
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