| Package | Description | 
|---|---|
| Core.BaseLearners.LearningAttributeWeights | |
| Core.CBR | |
| Core.CBR.Revise | |
| Core.DistributedApproaches.MetaCBR.Weights | |
| Core.DistributedApproaches.MultiAgent | |
| IO.PEPPER | 
| Modifier and Type | Method and Description | 
|---|---|
java.util.List<GWeightingProcessLearning.Individual> | 
GWeightingProcessLearning.geneticAlgorithm(CBR cbr,
                Attribute[] attributes)  | 
Attribute[] | 
GDweightLearning.learn(CBR cbr,
     Attribute[] attributes)  | 
Attribute[] | 
GWeightingProcessLearning.learn(CBR cbr,
     Attribute[] attributes)  | 
Attribute[] | 
GeneticWeightLearning.learn(CBR cbr,
     Attribute[] attributes)  | 
Attribute[] | 
LRSweightLearning.learn(CBR cbr,
     Attribute[] attributes)  | 
Attribute[] | 
LearnNot.learn(CBR cbr,
     Attribute[] attributes)  | 
abstract Attribute[] | 
LearningAttributeWeights.learn(CBR cbr,
     Attribute[] attributes)
Mètode de aprenentatge de pesos que modifica el pes dels atributs de la Population train en funció de la Population de test 
 | 
Attribute[] | 
PSOweightLearning.learn(CBR cbr,
     Attribute[] attributes)  | 
Attribute[] | 
PSOweightLearningPEPPER.learn(CBR cbr,
     Attribute[] attributes)  | 
Attribute[] | 
SAweightLearning.learn(CBR cbr,
     Attribute[] attributes)  | 
Attribute[] | 
SalzbergModified.learn(CBR cbr,
     Attribute[] attributes)  | 
Attribute[] | 
SalzbergWeightLearning.learn(CBR cbr,
     Attribute[] attributes)  | 
Attribute[] | 
LearningAttributeWeights.learnWeights(CBR cbr,
            Attribute[] attributes)  | 
| Modifier and Type | Method and Description | 
|---|---|
CBR | 
CBR.clone()
Creates a clone of this CBR. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
Attribute[] | 
CBR.learnWeights(CBR cbr,
            Attribute[] a)
Attribute weight learning phase. 
 | 
| Constructor and Description | 
|---|
CBR(CBR cbr)
Copy constructor. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
abstract void | 
Revise.revise(CBR cbr)
Abstract method which once implemented in the subclass will compute the 
 the resivion of the cases returned by a reuse. 
 | 
void | 
ReviseClassificationError.revise(CBR cbr)
Method to revise the accuracy of the classification of the test Population
 of a given CBR. 
 | 
void | 
ReviseMAPE.revise(CBR cbr)
Method to revise the classification of the test Population of a given CBR
 using mean absolute percentage error. 
 | 
void | 
ReviseMSE.revise(CBR cbr)
Method to revise the classification of the test Population of a given CBR
 using mean squared error. 
 | 
void | 
ReviseNot.revise(CBR cbr)
Method to not revise the test Population of a given CBR. 
 | 
void | 
RevisePepper.revise(CBR cbr)  | 
void | 
RevisePepperAdaptableLearnRate.revise(CBR cbr)  | 
void | 
ReviseProva.revise(CBR cbr)  | 
| Modifier and Type | Field and Description | 
|---|---|
protected CBR[] | 
CalcPesosSingle_Experiment.cbr
Deprecated.  
  | 
protected CBR[] | 
CalcPesosSingle_ExperimentBackPropagation.cbr
Deprecated.  
  | 
protected CBR[] | 
CalcPesosSingle_ExperimentBackPropagation2.cbr
Deprecated.  
  | 
protected CBR[] | 
CalcPesosSingle_ExperimentBackPropagation3.cbr
Deprecated.  
  | 
protected CBR[] | 
CalcPesosSingle_ExperimentBackPropagation4.cbr
Deprecated.  
  | 
protected CBR[] | 
CalcPesosSingle_ExperimentMaxMin.cbr
Deprecated.  
  | 
| Modifier and Type | Method and Description | 
|---|---|
CBR | 
PaquetExecutableCBR.getCBR()
Getter del CBR. 
 | 
| Constructor and Description | 
|---|
PaquetExecutableCBR(int i,
                   CBR c,
                   Coordinador coord)
Constructor threadsafe. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
static CBR | 
Manager.cbrFromJSON(java.lang.String json)  | 
| Modifier and Type | Method and Description | 
|---|---|
static java.lang.String | 
Manager.toJSON(CBR cbr)  |