amie.data.eval

Class Evaluator

java.lang.Object

amie.data.eval.Evaluator

public class Evaluator
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
Evaluator()

Method Summary

Modifier and Type	Method and Description
static int	evaluate(ByteString[] triple, KB training, KB target) Given a triple that was deduced from rules extracted from the training dataset, it tests its correctness with respect to the target dataset.
static int	evaluate(Rule rule, ByteString[] triple, KB training, KB target) Given a triple predicted by a rule, it evaluates its correctness in the training and target datasets
static void	main(java.lang.String[] args)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Evaluator

public Evaluator()

Method Detail

evaluate

public static int evaluate(ByteString[] triple,
                           KB training,
                           KB target)

Given a triple that was deduced from rules extracted from the training dataset, it tests its correctness with respect to the target dataset.

Parameters:

triple -

training -

target -

Returns:

evaluate

public static int evaluate(Rule rule,
                           ByteString[] triple,
                           KB training,
                           KB target)

Given a triple predicted by a rule, it evaluates its correctness in the training and target datasets

Parameters:

rule - Rule that generated the prediction

triple - Prediction

training - The dataset from which the rule was mined

target - A newer version of the training dataset (superset)

Returns:

0 if the prediction is in the target dataset. 1 if it contradicts a functional constraint in the training dataset. 2 if it contradicts a functional constraint in the target dataset. 3 otherwise.

main

public static void main(java.lang.String[] args)
                 throws java.lang.Exception

Throws:

java.lang.Exception