org.ai_heuristic.def

Interface FunctionMetricDef

All Known Implementing Classes:

CityBlockDistance, CosineSimilarity, DemerauLevenshtein, EuclideanDistance, FunctionMetric, Hamming, IndexSimilarity, JaccardCoefficient, JaroWinkler, KullbackLeibler, Levenshtein, MinkowskiDistance, NGram

public interface FunctionMetricDef

This defines the evaluation operations, maybe for a single data object. It can consist of a single object with data type, object, data type and evaluation expression, or an object, data type, expression and another object to compare with.

Author:

Kieran Greer

Method Summary

Modifier and Type	Method and Description
ReplySet	evaluate(MetricDataset ds1, MetricDataset ds2) Evaluate the comparison between the two datasets and return the result.

Method Detail

evaluate

ReplySet evaluate(MetricDataset ds1,
                  MetricDataset ds2)
           throws java.lang.Exception

Evaluate the comparison between the two datasets and return the result. If each list has only one object, then apply to the objects directly and not the lists.

Parameters:

ds1 - first dataset.

ds2 - second dataset.

Returns:

the result of applying the operator to the values, wrapped in a ReplySet object.

Throws:

java.lang.Exception - any error.