gpalta.clustering
Class FitnessClusteringFuzzy

java.lang.Object
  extended by gpalta.clustering.FitnessClusteringFuzzy
All Implemented Interfaces:
Fitness

public class FitnessClusteringFuzzy
extends java.lang.Object
implements Fitness


Field Summary
 double[] classCenters
           
 double[][] prob
           
 double[][] prototypes
           
 
Constructor Summary
FitnessClusteringFuzzy()
           
 
Method Summary
 void calculate(Output outputs, Individual ind, TempOutputFactory tempOutputFactory, DataHolder data)
          Evaluates the tree in every sample, and then calculates its fitness (and maybe some other stats, like hr0 and hr1 for classifiers), recording them in the tree.
 Output getProcessedOutput(Output raw, Individual ind, TempOutputFactory tempOutputFactory, DataHolder data)
           
 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
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Field Detail

prototypes

public double[][] prototypes

classCenters

public double[] classCenters

prob

public double[][] prob
Constructor Detail

FitnessClusteringFuzzy

public FitnessClusteringFuzzy()
Method Detail

init

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

Specified by:
init in interface Fitness
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

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

Specified by:
init in interface Fitness
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

public void calculate(Output outputs,
                      Individual ind,
                      TempOutputFactory tempOutputFactory,
                      DataHolder data)
Description copied from interface: Fitness
Evaluates the tree in every sample, and then calculates its fitness (and maybe some other stats, like hr0 and hr1 for classifiers), recording them in the tree.

Specified by:
calculate in interface Fitness

getProcessedOutput

public Output getProcessedOutput(Output raw,
                                 Individual ind,
                                 TempOutputFactory tempOutputFactory,
                                 DataHolder data)
Specified by:
getProcessedOutput in interface Fitness