Package org.ai_heuristic.functs.learn

Implementations of known functions that map a double value to another double value, but may work with other number types, through the org.ai_heuristic.eval.metric data structures.

See: Description

Class Summary

Class	Description
FunctionConstantFactor	This function simply returns the constant value as a Double object, without any changes.
FunctionCount	This function simply adds two objects together and returns the result.
FunctionExponentialFactor	This function returns the first value in the dataset, changed by n * exp(-c * val1).
FunctionGaussFactor	This function returns the first value in the dataset, changed by exp(-(k^2))/(2*r^2)).
FunctionHyperbolicFactor	This function returns the first value in the dataset, changed by c /(c2 + k).

Package org.ai_heuristic.functs.learn Description

Implementations of known functions that map a double value to another double value, but may work with other number types, through the org.ai_heuristic.eval.metric data structures.