org.ai_heuristic.def

Interface FunctionDef

All Known Implementing Classes:

AlgorithmCompare, AlgorithmCompareList, AlgorithmCompareTree, AlgorithmLearn, CityBlockDistance, CompleteLinkCluster, CosineSimilarity, DemerauLevenshtein, Entropy, EuclideanDistance, Function, FunctionActivate, FunctionConstantFactor, FunctionCount, FunctionExponentialFactor, FunctionGaussFactor, FunctionHardLimit, FunctionHyperbolicFactor, FunctionLearn, FunctionLinear, FunctionLinearPlus, FunctionLinearRectified, FunctionMetric, FunctionSigmoid, FunctionSingle, FunctionSymmetricHardLimit, FunctionTanH, Hamming, IndexSimilarity, InformationGain, JaccardCoefficient, JaroWinkler, KullbackLeibler, Levenshtein, Markov, MinkowskiDistance, NearestNeighbour, NGram, SimpleFunction, SingleLinkCluster, VarGain

public interface FunctionDef

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 dataset) Evaluate the objects stored in the dataset.

Method Detail

evaluate

ReplySet evaluate(MetricDataset dataset)
           throws java.lang.Exception

Evaluate the objects stored in the dataset.

Parameters:

dataset - the dataset to evaluate.

Returns:

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

Throws:

java.lang.Exception - any error.