gpalta.core
Interface Fitness

All Known Implementing Classes:
FitnessClassic

public interface Fitness

Hold desired outputs for fitness cases, and calculates the fitness for a given Tree


Method Summary
 void calculate(Output outputs, Individual ind, TempOutputFactory tempOutputFactory, DataHolder data)
          Evaluates the individual for every sample, and then calculates its fitness.
 Output getProcessedOutput(Output raw, Individual ind, TempOutputFactory tempOutputFactory, DataHolder data)
          Get the output of the individual for every sample, plus anything the fitness might need to add, like statistics or aditional calculations related to the fitness.
 void init(Config config, DataHolder data, Output desiredOutputs, double[] weights)
          Initializes the Fitness, receiving the desired outputs and the wheights (importance) for each sample.
 void init(Config config, DataHolder data, java.lang.String fileName)
          Initializes the Fitness, reading desired outputs from file
 

Method Detail

init

void init(Config config,
          DataHolder data,
          java.lang.String fileName)
Initializes the Fitness, reading desired outputs from file

Parameters:
config - The evolution config, might be needed inside the Fitness
data - The current problem's data, might also be needed (for instance to know the numer of samples used)
fileName - The file to read

init

void init(Config config,
          DataHolder data,
          Output desiredOutputs,
          double[] weights)
Initializes the Fitness, receiving the desired outputs and the wheights (importance) for each sample.

Parameters:
config - The evolution config, might be needed inside the Fitness
data - The current problem's data, might also be needed (for instance to know the number of samples used)
desiredOutputs - The desired outputs
weights - The weight (importance) of each sample

calculate

void calculate(Output outputs,
               Individual ind,
               TempOutputFactory tempOutputFactory,
               DataHolder data)
Evaluates the individual for every sample, and then calculates its fitness. The value is stored in the individual


getProcessedOutput

Output getProcessedOutput(Output raw,
                          Individual ind,
                          TempOutputFactory tempOutputFactory,
                          DataHolder data)
Get the output of the individual for every sample, plus anything the fitness might need to add, like statistics or aditional calculations related to the fitness.

Parameters:
raw - The "raw" output of the individual
ind - The individual to evaluate
tempOutputFactory -
data - The data to evaluate on
Returns:
A specialized output for the problem