Package org.ai_heuristic.functs.metric

Implementations of known metrics or evaluation functions, mostly distance or similarity, but adapted to allow for the evaluation of any type of data object and must use the org.ai_heuristic.eval.metric data structures.

See: Description

Class Summary

Class	Description
CityBlockDistance	This measures the City Block Distance between two lists of objects.
CosineSimilarity	This class implements the Cosine Similarity evaluation.
EuclideanDistance	This measures the Euclidean Distance between two lists of objects.
JaccardCoefficient	This class implements the set theoretic Jaccard Coefficient evaluation.
MinkowskiDistance	This measures the Minkowski Distance between two lists of objects.

Package org.ai_heuristic.functs.metric Description

Implementations of known metrics or evaluation functions, mostly distance or similarity, but adapted to allow for the evaluation of any type of data object and must use the org.ai_heuristic.eval.metric data structures.