ErrorEstimatePruning (LIMES Core Library 1.7.9 API)

java.lang.Object
- org.aksw.limes.core.ml.algorithm.dragon.Pruning.PruningFunctionDTL
- - org.aksw.limes.core.ml.algorithm.dragon.Pruning.ErrorEstimatePruning

public class ErrorEstimatePruning
extends PruningFunctionDTL

Field Summary

Fields
Modifier and Type Field Description

static double defaultConfidence

Constructor Summary

Constructors
Constructor Description

ErrorEstimatePruning()

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static double`	`errorRate(double f, double N, double z)`	Calculates the pessimistic error rate e using the formula (f + (z^2)/2N + z * sqrt(f/N - f^2/N + z^2/(4N^2)))/1 + z^2/N
`static void`	`main(String[] args)`
`boolean`	`pruneChild(DecisionTree node, AMapping parent)`
`DecisionTree`	`pruneChildNodesIfNecessary(DecisionTree node)`	Decides if all the child nodes or one of them have to be pruned The nodes have to have the appropriate mappings in the classifiers The child nodes of this node are leaves

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - defaultConfidence
```
public static double defaultConfidence
```
- Constructor Detail
  - ErrorEstimatePruning
```
public ErrorEstimatePruning()
```
- Method Detail
  - errorRate
```
public static double errorRate(double f,
                               double N,
                               double z)
```
    Calculates the pessimistic error rate e using the formula (f + (z^2)/2N + z * sqrt(f/N - f^2/N + z^2/(4N^2)))/1 + z^2/N
    
    Parameters:
    
    f - observed error rate E/N, with N number of instances where E are errors
    
    N - number of instances
    
    z - confidence limit
    
    Returns:
    
    error
  - main
```
public static void main(String[] args)
```
  - pruneChildNodesIfNecessary
```
public DecisionTree pruneChildNodesIfNecessary(DecisionTree node)
```
    Description copied from class: PruningFunctionDTL
    
    Decides if all the child nodes or one of them have to be pruned The nodes have to have the appropriate mappings in the classifiers The child nodes of this node are leaves
    
    Specified by:
    
    pruneChildNodesIfNecessary in class PruningFunctionDTL
    
    Returns:
    
    node
  - pruneChild
```
public boolean pruneChild(DecisionTree node,
                          AMapping parent)
```