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) |