Chromosome

java.lang.Object
- keel.Algorithms.UnsupervisedLearning.AssociationRules.IntervalRuleLearning.MOPNAR.Chromosome

All Implemented Interfaces:: java.lang.Comparable

public class Chromosome
extends java.lang.Object
implements java.lang.Comparable

Field Summary

Fields
Modifier and Type	Field and Description
`double`	`antsSupport`
`double`	`CF`
`double`	`confidence`
`double`	`consSupport`
`double`	`conv`
`Gene[]`	`genes` It is used for representing and handling a Chromosome throughout the evolutionary learning
`int`	`nAnts`
`double`	`netConf`
`int`	`numObjectives`
`double[]`	`objectives`
`double`	`sumInterval`
`double`	`support`
`int`	`T`
`int[]`	`vectorsNeighbors`
`double[]`	`weightVector`
`double`	`yulesQ`

Constructor Summary

Constructors
Constructor and Description

Chromosome(Gene[] genes, int numObjectives, int T)
It creates a new chromosome by setting up its genes

Constructors
Constructor and Description
`Chromosome(Gene[] genes, int numObjectives, int T)` It creates a new chromosome by setting up its genes

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`calculateSumInterval(myDataset dataset)`
`int`	`compareTo(java.lang.Object chr)`
`double`	`computeDistance(double[] weightVector_B)`
`void`	`computeObjetives(myDataset dataset)`
`Chromosome`	`copy()` It allows to clone correctly a chromosome
`boolean`	`equals(Chromosome chr)` It indicates whether some other chromosome is "equal to" this one
`void`	`forceConsistency()` It checks whether a chromosome always contains at least one antecedent gene as well as at least one consequent gene.
`double`	`getAntsSupport()` It returns the support of the association rule represented by a chromosome
`double`	`getCF()`
`double`	`getConfidence()` It returns the confidence of the association rule represented by a chromosome
`double`	`getConsSupport()`
`double`	`getConv()`
`java.util.ArrayList<java.lang.Integer>`	`getCoveredTIDs(myDataset dataset)` It compares a chromosome with another one in order to accomplish ordering later.
`Gene`	`getGene(int i)` It returns the "i-th" gene of a chromosome
`Gene[]`	`getGenes()`
`int`	`getnAnts()`
`double`	`getNetConf()`
`double`	`getObjective(int num)`
`double[]`	`getObjectives()` It returns the objectives of a chromosome
`int`	`getRank()`
`double`	`getSumInterval()`
`double`	`getSupport()` It returns the support of the association rule represented by a chromosome
`int`	`getT()`
`int[]`	`getVectorsNeighbors()`
`int`	`getVectorsNeighbors(int i)`
`double[]`	`getWeightVector()`
`double`	`getWeightVector(int i)`
`double`	`getYulesQ()`
`boolean`	`isCovered(double[] example)` It adds a dataset records to the list of records being covered by a chromosome
`boolean`	`isNew()`
`boolean`	`isSubChromo(Chromosome chromo2)`
`void`	`setCF(double cf)`
`void`	`setConfidence(double confidence)` It sets the confidence of the association rule represented by a chromosome
`void`	`setConv(double conv)`
`void`	`setGenes(Gene[] genes)` It returns the genes of a chromosome
`void`	`setnAnts(int value)`
`void`	`setNetConf(double netConf)`
`void`	`setNew(boolean value)`
`void`	`setObjetives(double[] objectives)` It sets the objectives for a chromosome
`void`	`setSupport(double support)` It sets the support of the association rule represented by a chromosome
`void`	`setT(int T)`
`void`	`setVectorsNeighbors(int[] vectorsNeighbors)`
`void`	`setWeightVector(double[] weightVector)`
`java.lang.String`	`toString()` It returns a string representation of a chromosome

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Field Detail
  - genes
```
public Gene[] genes
```
    It is used for representing and handling a Chromosome throughout the evolutionary learning
  - objectives
```
public double[] objectives
```
  - weightVector
```
public double[] weightVector
```
  - vectorsNeighbors
```
public int[] vectorsNeighbors
```
  - numObjectives
```
public int numObjectives
```
  - T
```
public int T
```
  - antsSupport
```
public double antsSupport
```
  - consSupport
```
public double consSupport
```
  - support
```
public double support
```
  - confidence
```
public double confidence
```
  - conv
```
public double conv
```
  - CF
```
public double CF
```
  - netConf
```
public double netConf
```
  - yulesQ
```
public double yulesQ
```
  - sumInterval
```
public double sumInterval
```
  - nAnts
```
public int nAnts
```
- Constructor Detail
  - Chromosome
```
public Chromosome(Gene[] genes,
                  int numObjectives,
                  int T)
```
    It creates a new chromosome by setting up its genes
    
    Parameters:
    
    genes - The array of genes that the chromosome must handle
- Method Detail
  - copy
```
public Chromosome copy()
```
    It allows to clone correctly a chromosome
    
    Returns:
    
    A copy of the chromosome
  - setObjetives
```
public void setObjetives(double[] objectives)
```
    It sets the objectives for a chromosome
    
    Parameters:
    
    objectives - The objectives value of the chromosome
  - getObjectives
```
public double[] getObjectives()
```
    It returns the objectives of a chromosome
    
    Returns:
    
    The objectives value of the chromosome
  - setSupport
```
public void setSupport(double support)
```
    It sets the support of the association rule represented by a chromosome
    
    Parameters:
    
    support - The value representing the rule support
  - getSupport
```
public double getSupport()
```
    It returns the support of the association rule represented by a chromosome
    
    Returns:
    
    A value representing the rule support
  - getAntsSupport
```
public double getAntsSupport()
```
    It returns the support of the association rule represented by a chromosome
    
    Returns:
    
    A value representing the rule support
  - getConsSupport
```
public double getConsSupport()
```
  - setConfidence
```
public void setConfidence(double confidence)
```
    It sets the confidence of the association rule represented by a chromosome
    
    Parameters:
    
    confidence - The value representing the rule confidence
  - getConfidence
```
public double getConfidence()
```
    It returns the confidence of the association rule represented by a chromosome
    
    Returns:
    
    A value representing the rule confidence
  - setGenes
```
public void setGenes(Gene[] genes)
```
    It returns the genes of a chromosome
  - getGenes
```
public Gene[] getGenes()
```
  - getGene
```
public Gene getGene(int i)
```
    It returns the "i-th" gene of a chromosome
    
    Parameters:
    
    i - The index of the gene
    
    Returns:
    
    The "i-th" gene of the chromosome being considered
  - forceConsistency
```
public void forceConsistency()
```
    It checks whether a chromosome always contains at least one antecedent gene as well as at least one consequent gene. If not, it forces this constraint by randomly altering some of its genes
  - equals
```
public boolean equals(Chromosome chr)
```
    It indicates whether some other chromosome is "equal to" this one
    
    Parameters:
    
    obj - The reference object with which to compare
    
    Returns:
    
    True if this chromosome is the same as the argument; False otherwise
  - toString
```
public java.lang.String toString()
```
    It returns a string representation of a chromosome
    
    Overrides:
    
    toString in class java.lang.Object
    
    Returns:
    
    A string representation of the chromosome
  - getObjective
```
public double getObjective(int num)
```
  - isCovered
```
public boolean isCovered(double[] example)
```
    It adds a dataset records to the list of records being covered by a chromosome
    
    Parameters:
    
    tid - The ID of the covered record in the dataset
  - setNew
```
public void setNew(boolean value)
```
  - isNew
```
public boolean isNew()
```
  - computeObjetives
```
public void computeObjetives(myDataset dataset)
```
  - computeDistance
```
public double computeDistance(double[] weightVector_B)
```
  - isSubChromo
```
public boolean isSubChromo(Chromosome chromo2)
```
  - calculateSumInterval
```
public void calculateSumInterval(myDataset dataset)
```
  - getnAnts
```
public int getnAnts()
```
  - setnAnts
```
public void setnAnts(int value)
```
  - getRank
```
public int getRank()
```
  - getSumInterval
```
public double getSumInterval()
```
  - getCoveredTIDs
```
public java.util.ArrayList<java.lang.Integer> getCoveredTIDs(myDataset dataset)
```
    It compares a chromosome with another one in order to accomplish ordering later. The comparison is achieved by only considering objectives values. For this reason, note that this method provides a natural ordering that is inconsistent with equals
    
    Parameters:
    
    obj - The object to be compared
    
    Returns:
    
    A negative integer, zero, or a positive integer as this object is less than, equal to, or greater than the specified object
  - compareTo
```
public int compareTo(java.lang.Object chr)
```
    Specified by:
    
    compareTo in interface java.lang.Comparable
  - getT
```
public int getT()
```
  - setT
```
public void setT(int T)
```
  - getVectorsNeighbors
```
public int[] getVectorsNeighbors()
```
  - getVectorsNeighbors
```
public int getVectorsNeighbors(int i)
```
  - setVectorsNeighbors
```
public void setVectorsNeighbors(int[] vectorsNeighbors)
```
  - getWeightVector
```
public double[] getWeightVector()
```
  - getWeightVector
```
public double getWeightVector(int i)
```
  - setWeightVector
```
public void setWeightVector(double[] weightVector)
```
  - getCF
```
public double getCF()
```
  - setCF
```
public void setCF(double cf)
```
  - getConv
```
public double getConv()
```
  - setConv
```
public void setConv(double conv)
```
  - getNetConf
```
public double getNetConf()
```
  - setNetConf
```
public void setNetConf(double netConf)
```
  - getYulesQ
```
public double getYulesQ()
```

Class Chromosome

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

genes

objectives

weightVector

vectorsNeighbors

numObjectives

T

antsSupport

consSupport

support

confidence

conv

CF

netConf

yulesQ

sumInterval

nAnts

Constructor Detail

Chromosome

Method Detail

copy

setObjetives

getObjectives

setSupport

getSupport

getAntsSupport

getConsSupport

setConfidence

getConfidence

setGenes

getGenes

getGene

forceConsistency

equals

toString

getObjective

isCovered

setNew

isNew

computeObjetives

computeDistance

isSubChromo

calculateSumInterval

getnAnts

setnAnts

getRank

getSumInterval

getCoveredTIDs

compareTo

getT

setT

getVectorsNeighbors

getVectorsNeighbors

setVectorsNeighbors

getWeightVector

getWeightVector

setWeightVector

getCF

setCF

getConv

setConv

getNetConf

setNetConf

getYulesQ