- gamma - Variable in class Core.CBR.Reuse.ReuseProbabilistic
-
- gamma - Variable in class Core.DistributedApproaches.MultiAgent.CoordinadorSingle_Experiment
-
Gamma associada a cada individu de Test.
- gammes - Variable in class Core.CBR.Reuse.ReuseProbabilisticMulticlassK
-
- GDweightLearning - Class in Core.BaseLearners.LearningAttributeWeights
-
Implements Gradinet Descent algorithm for learning the weights of the
attributes.
- GDweightLearning() - Constructor for class Core.BaseLearners.LearningAttributeWeights.GDweightLearning
-
- generaConfusio(Classificacio) - Method in class Core.CBR.Models.Results.Classificacio
-
Genera la confusio de la classificacio, segons la classificacio real 'class_real'.
- generaConfusio(Classificacio) - Method in class Core.CBR.Models.Results.ClassificacioNegativa
-
- generaConfusio(Classificacio) - Method in class Core.CBR.Models.Results.ClassificacioPositiva
-
- generaConfusioBinaritzada(Classificacio) - Method in class Core.CBR.Models.Results.Classificacio
-
Genera la confusio binaritzada de la classificacio, segons la classificacio real 'class_real'
- generaConfusioBinaritzada(Classificacio) - Method in class Core.CBR.Models.Results.ClassificacioNegativa
-
- generaConfusioBinaritzada(Classificacio) - Method in class Core.CBR.Models.Results.ClassificacioPositiva
-
- generaConfusioBinaritzada() - Method in class Core.CBR.Models.Results.Confusio
-
Genera la confusio binaritzada
- generateNonExecutableJson() - Method in class IO.JSON.Gson.com.google.gson.GsonBuilder
-
Makes the output JSON non-executable in Javascript by prefixing the generated JSON with some
special text.
- geneticAlgorithm(CBR, Attribute[]) - Method in class Core.BaseLearners.LearningAttributeWeights.GWeightingProcessLearning
-
- GeneticWeightLearning - Class in Core.BaseLearners.LearningAttributeWeights
-
Implements a Genetic Algorithm Optimization method to optimize the weight
of the attributes.
- GeneticWeightLearning() - Constructor for class Core.BaseLearners.LearningAttributeWeights.GeneticWeightLearning
-
Constructor to accept default parameter values
- GeneticWeightLearning(int, float, float, float, long) - Constructor for class Core.BaseLearners.LearningAttributeWeights.GeneticWeightLearning
-
Constructor to set custom parameter values
- get() - Method in class IO.JSON.Gson.com.google.gson.internal.bind.JsonTreeWriter
-
Returns the top level object produced by this writer.
- get(TypeToken<T>) - Method in class IO.JSON.Gson.com.google.gson.internal.ConstructorConstructor
-
- get(Object) - Method in class IO.JSON.Gson.com.google.gson.internal.LinkedHashTreeMap
-
- get(Object) - Method in class IO.JSON.Gson.com.google.gson.internal.LinkedTreeMap
-
- get(int) - Method in class IO.JSON.Gson.com.google.gson.JsonArray
-
Returns the ith element of the array.
- get(String) - Method in class IO.JSON.Gson.com.google.gson.JsonObject
-
Returns the member with the specified name.
- get(Type) - Static method in class IO.JSON.Gson.com.google.gson.reflect.TypeToken
-
Gets type literal for the given Type
instance.
- get(Class<T>) - Static method in class IO.JSON.Gson.com.google.gson.reflect.TypeToken
-
Gets type literal for the given Class
instance.
- getAdaptation() - Method in class Core.BaseLearners.LearningAttributeWeights.GWeightingProcessLearning.Individual
-
- getAdapter(TypeToken<T>) - Method in class IO.JSON.Gson.com.google.gson.Gson
-
Returns the type adapter for
type.
- getAdapter(Class<T>) - Method in class IO.JSON.Gson.com.google.gson.Gson
-
Returns the type adapter for
type.
- getAgent() - Method in class Core.CBR.Models.Results.AgentResults
-
- getAgentsSize() - Method in class Core.DistributedApproaches.MultiAgent.Coordinador
-
Retorna la quantitat d'agents en el sistema.
- getAllValues(String) - Method in class Core.CBR.Models.Population
-
Returns all the values of Attribute attribute in the Population
- getAnnotation(Class<T>) - Method in class IO.JSON.Gson.com.google.gson.FieldAttributes
-
Return the T
annotation object from this field if it exist; otherwise returns
null
.
- getAnnotations() - Method in class IO.JSON.Gson.com.google.gson.FieldAttributes
-
Return the annotations that are present on this field.
- getArray(Type) - Static method in class IO.JSON.Gson.com.google.gson.reflect.TypeToken
-
Gets type literal for the array type whose elements are all instances of componentType
.
- getArrayComponentType(Type) - Static method in class IO.JSON.Gson.com.google.gson.internal.$Gson$Types
-
Returns the component type of this array type.
- getAsBigDecimal() - Method in class IO.JSON.Gson.com.google.gson.JsonArray
-
convenience method to get this array as a BigDecimal
if it contains a single element.
- getAsBigDecimal() - Method in class IO.JSON.Gson.com.google.gson.JsonElement
-
convenience method to get this element as a BigDecimal
.
- getAsBigDecimal() - Method in class IO.JSON.Gson.com.google.gson.JsonPrimitive
-
convenience method to get this element as a BigDecimal
.
- getAsBigInteger() - Method in class IO.JSON.Gson.com.google.gson.JsonArray
-
convenience method to get this array as a BigInteger
if it contains a single element.
- getAsBigInteger() - Method in class IO.JSON.Gson.com.google.gson.JsonElement
-
convenience method to get this element as a BigInteger
.
- getAsBigInteger() - Method in class IO.JSON.Gson.com.google.gson.JsonPrimitive
-
convenience method to get this element as a BigInteger
.
- getAsBoolean() - Method in class IO.JSON.Gson.com.google.gson.JsonArray
-
convenience method to get this array as a boolean if it contains a single element.
- getAsBoolean() - Method in class IO.JSON.Gson.com.google.gson.JsonElement
-
convenience method to get this element as a boolean value.
- getAsBoolean() - Method in class IO.JSON.Gson.com.google.gson.JsonPrimitive
-
convenience method to get this element as a boolean value.
- getAsByte() - Method in class IO.JSON.Gson.com.google.gson.JsonArray
-
- getAsByte() - Method in class IO.JSON.Gson.com.google.gson.JsonElement
-
convenience method to get this element as a primitive byte value.
- getAsByte() - Method in class IO.JSON.Gson.com.google.gson.JsonPrimitive
-
- getAsCharacter() - Method in class IO.JSON.Gson.com.google.gson.JsonArray
-
- getAsCharacter() - Method in class IO.JSON.Gson.com.google.gson.JsonElement
-
convenience method to get this element as a primitive character value.
- getAsCharacter() - Method in class IO.JSON.Gson.com.google.gson.JsonPrimitive
-
- getAsDouble() - Method in class IO.JSON.Gson.com.google.gson.JsonArray
-
convenience method to get this array as a double if it contains a single element.
- getAsDouble() - Method in class IO.JSON.Gson.com.google.gson.JsonElement
-
convenience method to get this element as a primitive double value.
- getAsDouble() - Method in class IO.JSON.Gson.com.google.gson.JsonPrimitive
-
convenience method to get this element as a primitive double.
- getAsFloat() - Method in class IO.JSON.Gson.com.google.gson.JsonArray
-
convenience method to get this array as a float if it contains a single element.
- getAsFloat() - Method in class IO.JSON.Gson.com.google.gson.JsonElement
-
convenience method to get this element as a primitive float value.
- getAsFloat() - Method in class IO.JSON.Gson.com.google.gson.JsonPrimitive
-
convenience method to get this element as a float.
- getAsInt() - Method in class IO.JSON.Gson.com.google.gson.JsonArray
-
convenience method to get this array as an integer if it contains a single element.
- getAsInt() - Method in class IO.JSON.Gson.com.google.gson.JsonElement
-
convenience method to get this element as a primitive integer value.
- getAsInt() - Method in class IO.JSON.Gson.com.google.gson.JsonPrimitive
-
convenience method to get this element as a primitive integer.
- getAsJsonArray() - Method in class IO.JSON.Gson.com.google.gson.JsonElement
-
convenience method to get this element as a
JsonArray
.
- getAsJsonArray(String) - Method in class IO.JSON.Gson.com.google.gson.JsonObject
-
Convenience method to get the specified member as a JsonArray.
- getAsJsonNull() - Method in class IO.JSON.Gson.com.google.gson.JsonElement
-
convenience method to get this element as a
JsonNull
.
- getAsJsonObject() - Method in class IO.JSON.Gson.com.google.gson.JsonElement
-
convenience method to get this element as a
JsonObject
.
- getAsJsonObject(String) - Method in class IO.JSON.Gson.com.google.gson.JsonObject
-
Convenience method to get the specified member as a JsonObject.
- getAsJsonPrimitive() - Method in class IO.JSON.Gson.com.google.gson.JsonElement
-
- getAsJsonPrimitive(String) - Method in class IO.JSON.Gson.com.google.gson.JsonObject
-
Convenience method to get the specified member as a JsonPrimitive element.
- getAsLong() - Method in class IO.JSON.Gson.com.google.gson.JsonArray
-
convenience method to get this array as a long if it contains a single element.
- getAsLong() - Method in class IO.JSON.Gson.com.google.gson.JsonElement
-
convenience method to get this element as a primitive long value.
- getAsLong() - Method in class IO.JSON.Gson.com.google.gson.JsonPrimitive
-
convenience method to get this element as a primitive long.
- getAsNumber() - Method in class IO.JSON.Gson.com.google.gson.JsonArray
-
convenience method to get this array as a Number
if it contains a single element.
- getAsNumber() - Method in class IO.JSON.Gson.com.google.gson.JsonElement
-
convenience method to get this element as a Number
.
- getAsNumber() - Method in class IO.JSON.Gson.com.google.gson.JsonPrimitive
-
convenience method to get this element as a Number.
- getAsShort() - Method in class IO.JSON.Gson.com.google.gson.JsonArray
-
convenience method to get this array as a primitive short if it contains a single element.
- getAsShort() - Method in class IO.JSON.Gson.com.google.gson.JsonElement
-
convenience method to get this element as a primitive short value.
- getAsShort() - Method in class IO.JSON.Gson.com.google.gson.JsonPrimitive
-
convenience method to get this element as a primitive short.
- getAsString() - Method in class IO.JSON.Gson.com.google.gson.JsonArray
-
convenience method to get this array as a String
if it contains a single element.
- getAsString() - Method in class IO.JSON.Gson.com.google.gson.JsonElement
-
convenience method to get this element as a string value.
- getAsString() - Method in class IO.JSON.Gson.com.google.gson.JsonPrimitive
-
convenience method to get this element as a String.
- getAttribute(String) - Method in class Core.CBR.Models.Individual
-
Retorna el valor de l'atribut "atrib".
- getAttribute(Attribute) - Method in class Core.CBR.Models.Individual
-
Retorna el valor de l'atribut "atrib".
- getAttribute(int) - Method in class Core.CBR.Models.Population
-
- getAttribute(String) - Method in class Core.CBR.Models.Population
-
- getAttributeIndex(String) - Method in class Core.CBR.Models.Population
-
Cerca un atribut dins la population i en retorna el seu index.
- getAttributes() - Method in class Core.CBR.Models.Individual
-
Retorna la taula d'attributes.
- getAttributes() - Method in class Core.CBR.Models.Population
-
- getCBR() - Method in class Core.DistributedApproaches.MultiAgent.PaquetExecutableCBR
-
Getter del CBR.
- getChromosome() - Method in class Core.BaseLearners.LearningAttributeWeights.GWeightingProcessLearning.Individual
-
- getClasse() - Method in class Core.CBR.CBR
-
Method to get the attribute for wich the CBR attempts classification.
- getClassificacio(Individual) - Method in class Core.CBR.Models.Results.Classificacio
-
Retorna la classificacio d'un individu
- getClassificacio(Object) - Method in class Core.CBR.Models.Results.Classificacio
-
Retorna la classificacio d'un individu
- getClassificacio(int) - Method in class Core.CBR.Models.Results.Classificacio
-
Retorna la classificacio de l'individu que ocupa l'index 'i'
- getClassificacio(Individual) - Method in class Core.CBR.Models.Results.ClassificacioNegativa
-
- getClassificacio(Object) - Method in class Core.CBR.Models.Results.ClassificacioNegativa
-
- getClassificacio(int) - Method in class Core.CBR.Models.Results.ClassificacioNegativa
-
- getClassificacio(String) - Method in class Core.CBR.Models.Results.ClassificacioParametres
-
Retorna una classificacio
- getClassificacio(Individual) - Method in class Core.CBR.Models.Results.ClassificacioPositiva
-
- getClassificacio(Object) - Method in class Core.CBR.Models.Results.ClassificacioPositiva
-
- getClassificacio(int) - Method in class Core.CBR.Models.Results.ClassificacioPositiva
-
- getClassificacio() - Method in class Core.CBR.Reuse.Reuse
-
- getClassificacio() - Method in class Core.DistributedApproaches.MultiAgent.CoordinadorSingle_Experiment
-
- getClassificacioAgents() - Method in class Core.DistributedApproaches.MultiAgent.CoordinadorSingle_Experiment
-
- getClassificacions() - Method in class Core.CBR.Models.Results.ClassificacioParametres
-
Metode per obtenir les classificacions
- getClassificacions() - Method in class Core.CBR.Reuse.Reuse
-
- getClassificacioReal() - Method in class Core.CBR.Models.Results.ClassificacioParametres
-
Retorna la classificacio real
- getClassification() - Method in class Core.CBR.CBR
-
Returns the classification of the train cases
- getClassifications() - Method in class Core.CBR.CBR
-
Returns the parameter classifications of the train cases
- getCode(String) - Method in class Core.CBR.Models.Population
-
- getCollectionElementType(Type, Class<?>) - Static method in class IO.JSON.Gson.com.google.gson.internal.$Gson$Types
-
Returns the element type of this collection type.
- getConfianca() - Method in class Core.DistributedApproaches.MultiAgent.CoordinadorSingle_Experiment
-
- getConfiances() - Method in class Core.CBR.Models.Results.ModelEstadistic
-
- getConfiancesRUN() - Method in class Core.CBR.Models.Results.ModelEstadistic
-
- getConfusio(String) - Method in class Core.CBR.Models.Results.ConfusioBinaritzada
-
Retorna la confusio binaria corresponent a l'etiqueta 'etiqueta'
- getConfusions() - Method in class Core.CBR.Models.Results.ClassificacioParametres
-
Retorna les confusions binaritzades per cada classificacio
- getConfusions() - Method in class Core.CBR.Models.Results.ConfusioBinaritzada
-
Retorna totes les matrius
- getConfusionsBinaritzades() - Method in class Core.CBR.Models.Results.ClassificacioParametres
-
Retorna la matriu de confusio per cada classificacio
- getCp() - Method in class Core.DistributedApproaches.MultiAgent.CoordinadorSingle_Experiment
-
- getDeclaredClass() - Method in class IO.JSON.Gson.com.google.gson.FieldAttributes
-
Returns the Class
object that was declared for this field.
- getDeclaredType() - Method in class IO.JSON.Gson.com.google.gson.FieldAttributes
-
For example, assume the following class definition:
public class Foo {
private String bar;
private List<String> red;
}
Type listParameterizedType = new TypeToken<List<String>>() {}.getType();
This method would return String.class
for the bar
field and
listParameterizedType
for the red
field.
- getDeclaringClass() - Method in class IO.JSON.Gson.com.google.gson.FieldAttributes
-
- getDelegateAdapter(TypeAdapterFactory, TypeToken<T>) - Method in class IO.JSON.Gson.com.google.gson.Gson
-
This method is used to get an alternate type adapter for the specified type.
- getDescription() - Method in class Core.CBR.Models.Attribute
-
- getDistance(Object, Object) - Method in class Core.CBR.Distances.Unknown.DesconegutsProva
-
Computes the distance between the 'a' and 'b' objects, either one or both
of them being missing vlaues (null).
- getDistance(Individual, Individual, String, Population) - Method in class Core.CBR.Distances.Unknown.DesconegutsProva
-
- getDistance(Individual, Individual, String, Population) - Method in class Core.CBR.Distances.Unknown.Missing
-
Computes the distance between 'a' and 'b' considering missing values.
- getDistance(Individual, Individual, String, Population) - Method in class Core.CBR.Distances.Unknown.MissingProbabilistic
-
- getDistance(Individual, Individual, String, Population) - Method in class Core.CBR.Distances.Unknown.MissingProbabilisticAddingDist
-
- getDistance(Individual, Individual, String, Population) - Method in class Core.CBR.Distances.Unknown.SkipMissing
-
- getDistance(Individual, Individual, String, Population) - Method in class Core.CBR.Distances.Unknown.SkipMissingFromTest
-
Distance between nulls is not considered.
- getDistance(Object, Object) - Method in class Core.CBR.Distances.Unknown.UnknownIsNullOrEmpty
-
Computes the distance between the 'a' and 'b' objects, either one or both
of them being missing values (null or "").
- getDistance(Individual, Individual, String, Population) - Method in class Core.CBR.Distances.Unknown.UnknownIsNullOrEmpty
-
- getDistanceMatrix() - Method in class Core.CBR.CBR
-
Returns the computeDistance matrix.
- getDistancia(String, String) - Method in class Core.CBR.Models.Results.AgentResults
-
- getDistancia(int, int) - Method in class Core.CBR.Models.Results.AgentResults
-
- getDistancia(String, String) - Method in class Core.CBR.Models.Results.MatriuDistancies
-
Donats dos identificadors, retorna la distancia entre els individus.
- getDistancia(Individual, Individual) - Method in class Core.CBR.Models.Results.MatriuDistancies
-
Donats dos Individus, retorna la distancia entre ells.
- getDistancia(int, int) - Method in class Core.CBR.Models.Results.MatriuDistancies
-
Retorna la distancia entre el nTest-essim i el nTrain-essim individu.
- getError() - Method in class Core.DistributedApproaches.MetaCBR.Weights.CalcPesos
-
- getError() - Method in class Core.DistributedApproaches.MetaCBR.Weights.CalcPesosGenetic
-
- getError() - Method in class Core.DistributedApproaches.MultiAgent.Agent
-
Sincronitzat, retorna l'excepcio generadad per un error.
- getEtiquetes() - Method in class Core.CBR.Models.Results.Confusio
-
Obte les etiquetes de la matriu
- getEtiquetes() - Method in class Core.CBR.Models.Results.ConfusioBinaritzada
-
Retorna el conjunt d'etiquetes de la confusio binaritzada
- getFalseNegative() - Method in class Core.CBR.Models.Results.ConfusioBinaria
-
- getFalsePositive() - Method in class Core.CBR.Models.Results.ConfusioBinaria
-
- getFitnesGlobal() - Method in class Core.DistributedApproaches.MetaCBR.Weights.Genetic.PoblacioCromosomes
-
Calcula el fitness global de tota la poblacio.
- getFitness() - Method in class Core.DistributedApproaches.MetaCBR.Weights.Genetic.Cromosoma
-
Getter del fitness.
- getFitnessGlobalAnterior() - Method in class Core.DistributedApproaches.MetaCBR.Weights.Genetic.PoblacioCromosomes
-
Getter del fitness global de l'etapa anteriror.
- getGamma() - Method in class Core.CBR.CBR
-
This method is a remnant of previous attempts to build a MultiAgent CBR
Following its trace it's clear that this method always returns null
- getGens() - Method in class Core.DistributedApproaches.MetaCBR.Weights.Genetic.Cromosoma
-
Getter del gens
- getGmin(String[], Double[]) - Method in class Core.CBR.CBR
-
Function that calculates the minimum glucose value of a given glucose curve
of CGM samples (in mg/dl).
- getICR() - Method in class Core.CBR.Revise.RevisePepper
-
Method to return the ICR value of the revised pepper case
- getICR() - Method in class Core.CBR.Revise.RevisePepperAdaptableLearnRate
-
Method to return the ICR value of the revised pepper case
- getId() - Method in class Core.CBR.Models.Attribute
-
- getId() - Method in class Core.CBR.Models.Individual
-
Retorna l'identificador de l'individu.
- getId() - Method in class Core.DistributedApproaches.MultiAgent.PaquetExecutable
-
Retorna l'identificador del PaquetExecutable.
- getIds() - Method in class Core.CBR.Models.Results.Classificacio
-
Retorna els ids dels individus classificats
- getIds() - Method in class Core.CBR.Models.Results.ClassificacioParametres
-
Retorna els ids dels individus que estan classificats
- getIds() - Method in class Core.CBR.Models.Results.ModelEstadistic
-
- getIds(String) - Method in class Core.CBR.Models.Results.SeleccioIndividus
-
Returns a string witht the ID of the selected individuals separated by ','
- getIds() - Method in class Core.CBR.Revise.Revise
-
Method returning the cases' identifications
- getIdsTest() - Method in class Core.CBR.Models.Results.SeleccioIndividus
-
- getIndex(String) - Method in class Core.CBR.Models.Results.MatriuDistancies
-
- getIndividu() - Method in class Core.CBR.Models.Results.AgentResults
-
- getIndividual(int) - Method in class Core.CBR.Models.Population
-
Retorna l'individu situat a la posicio 'i' de la Population.
- getIndividual(String) - Method in class Core.CBR.Models.Population
-
Retorna l'Individual de la Population identificat per id.
- getIndividuals() - Method in class Core.CBR.Models.Population
-
Retorna el vector generic d'Individus.
- getInstance() - Static method in class Core.Tools.SingleRandom
-
- getK() - Method in class Core.CBR.Reuse.ReuseMajoriaK
-
Mètode per retornar la K del reuse
- getLlindar() - Method in class Core.DistributedApproaches.MetaCBR.Weights.CalcPesos
-
- getLowerKs() - Method in class Core.CBR.Reuse.ReuseMajoriaK
-
Mètode per retornar si s'estàn fent servir tots els valors possibles fins a K
- getMapKeyAndValueTypes(Type, Class<?>) - Static method in class IO.JSON.Gson.com.google.gson.internal.$Gson$Types
-
Returns a two element array containing this map's key and value types in
positions 0 and 1 respectively.
- getMaxDiff() - Method in class Core.CBR.Review.ReviewPepper
-
- getMeans() - Method in class Core.CBR.Models.Results.ModelEstadistic
-
- getMillorCromosoma() - Method in class Core.DistributedApproaches.MetaCBR.Weights.Genetic.PoblacioCromosomes
-
Retorna el millor cromosoma calculat fins al moment.
- getN() - Method in class Core.CBR.Reuse.ReuseProbabilisticMulticlassK
-
Mètode per retornar el valor de la "N" del reuse
- getNAgents() - Method in class Core.DistributedApproaches.MultiAgent.Coordinador
-
- getName() - Method in class IO.JSON.Gson.com.google.gson.FieldAttributes
-
- getNClassificacions() - Method in class Core.CBR.Models.Results.ClassificacioParametres
-
Metode per obtenir el nombre de classificacions
- getNegatiu() - Method in class Core.CBR.Reuse.Reuse
-
- getNIndividus() - Method in class Core.CBR.Models.Results.ClassificacioParametres
-
Retorna el nombre d'individus classificats
- getNoms() - Method in class Core.CBR.Models.Results.Matriu
-
Mètode que retorna els noms de la primera fila
de la matriu.
- getNPropers(Individual, int) - Method in class Core.CBR.Models.Results.MatriuDistancies
-
Retorna els identificadors dels "n" Individus mes proper de l'Individual
especificat.
- getNPropers(String, int) - Method in class Core.CBR.Models.Results.MatriuDistancies
-
Retorna els identificadors dels "n" Individus mes proper de
l'Individual especificat.
- getNPropers(int, int) - Method in class Core.CBR.Models.Results.MatriuDistancies
-
Retorna els identificadors dels "n" Individus mes proper de
l'Individual especificat.
- getNPropers(int) - Method in class Core.CBR.Models.Results.MatriuDistancies
-
Retororna per cada Individual de test els seus n Individus de train mes
propers.
- getPaquet(int, int) - Method in class Core.DistributedApproaches.MultiAgent.Coordinador
-
Retorna el Vector de Vectors de PaquetsExecutables
- getParameterized(Type, Type...) - Static method in class IO.JSON.Gson.com.google.gson.reflect.TypeToken
-
Gets type literal for the parameterized type represented by applying typeArguments
to
rawType
.
- getParameters() - Method in class Core.CBR.Retrieve.ContextReasoning.ContextReasoning
-
Returns this context reasoning parameters.
- getParameters() - Method in class Core.CBR.Retrieve.Selection.Selection
-
Returns paraemters.
- getParametre(int) - Method in class Core.CBR.Models.Results.ClassificacioParametres
-
Retorna un parametre
- getParametres() - Method in class Core.CBR.Models.Results.ClassificacioParametres
-
Metode per obtenir la llista de parametres
- getPas() - Method in class Core.CBR.Reuse.ReuseProbabilistic
-
Mètode per retornar el valor del "pas" (de quants en quants calcula Ks)
- getPas() - Method in class Core.CBR.Reuse.ReuseProbabilisticMulticlassK
-
Mètode per retornar el valor del "pas" (de quants en quants calcula Ks)
- getPath() - Method in class IO.JSON.Gson.com.google.gson.internal.bind.JsonTreeReader
-
- getPath() - Method in class IO.JSON.Gson.com.google.gson.stream.JsonReader
-
Returns a
JsonPath to
the current location in the JSON value.
- getPesos() - Method in class Core.CBR.CBR
-
Method to get the current attribute weights.
- getPesos() - Method in class Core.CBR.Reuse.Reuse
-
- getPesos() - Method in class Core.DistributedApproaches.MetaCBR.Weights.CalcPesos
-
- getPesos() - Method in class Core.DistributedApproaches.MultiAgent.CoordinadorSingle_Experiment
-
- getPositiu() - Method in class Core.CBR.Reuse.Reuse
-
- getPredictionConfidenceMean() - Method in class Core.CBR.Models.Results.aggregatedNumericResults
-
- getPredictionConfidenceRUN() - Method in class Core.CBR.Models.Results.aggregatedNumericResults
-
- getPredictionMean() - Method in class Core.CBR.Models.Results.aggregatedNumericResults
-
- getProbabilitat_mutacio() - Method in class Core.DistributedApproaches.MetaCBR.Weights.Genetic.Cromosoma
-
Getter de la probabilitat de mutacio.
- getRawType(Type) - Static method in class IO.JSON.Gson.com.google.gson.internal.$Gson$Types
-
- getRawType() - Method in class IO.JSON.Gson.com.google.gson.reflect.TypeToken
-
Returns the raw (non-generic) type for this type.
- getRealClass() - Method in class Core.CBR.Models.Results.aggregatedNumericResults
-
- getResult(Object) - Method in class Core.CBR.Revise.Revise
-
Method returning the result of a specific case
- getResult() - Method in class Core.CBR.Revise.Revise
-
Method returning the aggregated result of all cases
- getResult(Object) - Method in class Core.CBR.Revise.ReviseNot
-
Method returning the result of a specific case.
- getResult() - Method in class Core.CBR.Revise.ReviseNot
-
Method returning the aggregated result of all cases.
- getResult() - Method in class Core.CBR.Revise.RevisePepper
-
Method to return the revised (and corrected if needed) ICR value
- getResult(Object) - Method in class Core.CBR.Revise.RevisePepper
-
Method to return the revised (and corrected if needed) ICR value
- getResult() - Method in class Core.CBR.Revise.RevisePepperAdaptableLearnRate
-
Method to return the revised (and corrected if needed) ICR value
- getResult(Object) - Method in class Core.CBR.Revise.RevisePepperAdaptableLearnRate
-
Method to return the revised (and corrected if needed) ICR value
- getResultat() - Method in class Core.DistributedApproaches.MultiAgent.PaquetExecutable
-
Retorna el resultat del paquet.
- getRetain() - Method in class Core.CBR.CBR
-
Returns the retain implementation of this CBR
- getReuse() - Method in class Core.CBR.CBR
-
Returns the reuse implementation of this CBR
- getReview() - Method in class Core.CBR.CBR
-
Returns the review implementation of this CBR
- getRevise() - Method in class Core.CBR.CBR
-
Returns the revise implementation of this CBR
- getSeleccio(Individual) - Method in class Core.CBR.Models.Results.SeleccioIndividus
-
Retorna els individus seleccionats com a mes semblants d'un individu
- getSeleccio(String) - Method in class Core.CBR.Models.Results.SeleccioIndividus
-
Retorna els individus seleccionats com a mes semblants d'un individu
- getSeleccio(int) - Method in class Core.CBR.Models.Results.SeleccioIndividus
-
Retorna la seleccio de l'individu amb posicio 'i' a la llista de ids
- getSeleccio(Individual, int) - Method in class Core.CBR.Models.Results.SeleccioIndividus
-
Retorna l'individu 'n' mes proper de la seleccio de l'individu 'ind'
- getSeleccio(String, int) - Method in class Core.CBR.Models.Results.SeleccioIndividus
-
Retorna l'individu 'n' mes proper de la seleccio de l'individu 'id'
- getSeleccio(int, int) - Method in class Core.CBR.Models.Results.SeleccioIndividus
-
Retorna l'individu 'n' mes proper de la seleccio de l'individu 'i'
- getSeleccioIndividus() - Method in class Core.CBR.CBR
-
Returns the selected individuals in the retrieve phase
- getSerializeNulls() - Method in class IO.JSON.Gson.com.google.gson.stream.JsonWriter
-
Returns true if object members are serialized when their value is null.
- getStdDev() - Method in class Core.CBR.Models.Results.aggregatedNumericResults
-
- getStdDevs() - Method in class Core.CBR.Models.Results.ModelEstadistic
-
- getTau() - Method in class Core.CBR.Reuse.ReuseProbabilistic
-
Mètode per retornar el valor de la tau del reuse
- getTaula() - Method in class Core.CBR.Models.Results.Matriu
-
Retorna la taula d'objectes de la matriu
- getTest() - Method in class Core.CBR.CBR
-
Method to get the test population of this CBR
- getTest() - Method in class Core.CBR.Models.Results.MatriuDistancies
-
Retorna tots els identificadors dels individus de test.
- getThresholdPropers(Individual, float) - Method in class Core.CBR.Models.Results.MatriuDistancies
-
Retorna els identificadors dels Individus que tinguin una distancia amb
l'Individual especificat mes petita que el llindar "t".
- getThresholdPropers(String, float) - Method in class Core.CBR.Models.Results.MatriuDistancies
-
Retorna els identificadors dels Individus que tinguin una distancia amb
l'Individual especificat mes petita que el llindar "t".
- getThresholdPropers(int, float) - Method in class Core.CBR.Models.Results.MatriuDistancies
-
Retorna els identificadors dels Individus que tinguin una distancia amb
l'Individual especificat mes petita que el llindar "t".
- getThresholdPropers(float) - Method in class Core.CBR.Models.Results.MatriuDistancies
-
Retorna per cada Individual de test els Individus de train que estan a una
distancia inferior que "t".
- getTrain() - Method in class Core.CBR.CBR
-
Method to get the train population of this CBR
- getTrain() - Method in class Core.CBR.Models.Results.MatriuDistancies
-
Retorna tots els identificadors dels individus de train.
- getTrain(String) - Method in class Core.CBR.Models.Results.MatriuDistancies
-
- getTrainOrdenat() - Method in class Core.CBR.Models.Results.MatriuDistancies
-
- getTrainSorted() - Method in class Core.CBR.Models.Results.MatriuDistancies
-
Returns the train set ordered from closest to farest for each test
- getTrueNegative() - Method in class Core.CBR.Models.Results.ConfusioBinaria
-
- getTruePositive() - Method in class Core.CBR.Models.Results.ConfusioBinaria
-
- getTrust() - Method in class Core.DistributedApproaches.MetaCBR.Weights.Genetic.Cromosoma
-
Retorna el trust calculat fins el moment.
- getTrust() - Method in class Core.DistributedApproaches.MetaCBR.Weights.Genetic.PoblacioCromosomes
-
Retorna el millor trust trobat fins ara.
- getType() - Method in class Core.CBR.Models.Attribute
-
- getType() - Method in class IO.JSON.Gson.com.google.gson.reflect.TypeToken
-
Gets underlying Type
instance.
- getValor(String, String) - Method in class Core.CBR.Models.Results.Confusio
-
Retorna el valor per a una classificacio real i predita contreta.
- getValors() - Method in class Core.CBR.Models.Results.Classificacio
-
Retorna una coleccio amb els valors de les classificacions
- getValors() - Method in class Core.CBR.Models.Results.Matriu
-
Mètode que retorna els valors de this.taula obviant-ne
els noms de la primera fila (capçaleres)
- getValorsNOhead() - Method in class Core.CBR.Models.Results.Matriu
-
Mètode que retorna els valors de this.taula obviant-ne
els noms de la primera fila i primera columna (capçaleres)
- getVarianceCoefs() - Method in class Core.CBR.Models.Results.ModelEstadistic
-
- getVariances() - Method in class Core.CBR.Models.Results.ModelEstadistic
-
- getWeight() - Method in class Core.CBR.Models.Attribute
-
- getWeights() - Method in class Core.CBR.CBR
-
Returns the current attribute weights of the train population
- getWeights() - Method in class Core.CBR.Models.Population
-
Retorna els pesos dels attributes de la població
- GlobalDistance - Class in Core.CBR.Distances.Globals
-
- GlobalDistance() - Constructor for class Core.CBR.Distances.Globals.GlobalDistance
-
Void constructor.
- GlobalDistanceAverage - Class in Core.CBR.Distances.Globals
-
Specific implementation of GlobalDistance
- GlobalDistanceAverage() - Constructor for class Core.CBR.Distances.Globals.GlobalDistanceAverage
-
- GlobalDistanceEuclidean - Class in Core.CBR.Distances.Globals
-
Specific implementation of Global Distance
- GlobalDistanceEuclidean() - Constructor for class Core.CBR.Distances.Globals.GlobalDistanceEuclidean
-
- GlobalDistanceFactory - Class in Core.CBR.Distances.Globals
-
Constructor class for GlobalDistances.
- GlobalDistanceFactory() - Constructor for class Core.CBR.Distances.Globals.GlobalDistanceFactory
-
- GlobalDistanceNCM - Class in Core.CBR.Distances.Globals
-
Nearest Class Mean
- GlobalDistanceNCM() - Constructor for class Core.CBR.Distances.Globals.GlobalDistanceNCM
-
- GlobalDistanceNCM2 - Class in Core.CBR.Distances.Globals
-
- GlobalDistanceNCM2() - Constructor for class Core.CBR.Distances.Globals.GlobalDistanceNCM2
-
- GlobalDistanceSequences - Class in Core.CBR.Distances.Globals
-
Specific implementation of GlobalDistance
- GlobalDistanceSequences() - Constructor for class Core.CBR.Distances.Globals.GlobalDistanceSequences
-
- GlobalDistanceWeightedEuclidean - Class in Core.CBR.Distances.Globals
-
- GlobalDistanceWeightedEuclidean() - Constructor for class Core.CBR.Distances.Globals.GlobalDistanceWeightedEuclidean
-
- GlobalDistanceWM - Class in Core.CBR.Distances.Globals
-
Specific implementation of GlobalDistance
- GlobalDistanceWM() - Constructor for class Core.CBR.Distances.Globals.GlobalDistanceWM
-
- Gson - Class in IO.JSON.Gson.com.google.gson
-
This is the main class for using Gson.
- Gson() - Constructor for class IO.JSON.Gson.com.google.gson.Gson
-
Constructs a Gson object with default configuration.
- GsonBuilder - Class in IO.JSON.Gson.com.google.gson
-
Use this builder to construct a
Gson
instance when you need to set configuration
options other than the default.
- GsonBuilder() - Constructor for class IO.JSON.Gson.com.google.gson.GsonBuilder
-
Creates a GsonBuilder instance that can be used to build Gson with various configuration
settings.
- guardaAggregatedResults(aggregatedNumericResults, String) - Static method in class IO.CSV
-
- guardaCSV(String) - Method in class Core.CBR.Models.Results.AgentResults
-
- guardaPesosAtributs(Population, int, String) - Static method in class IO.CSV
-
- guardarClassificacio(ClassificacioParametres, String) - Static method in class IO.CSV
-
Guarda una ClassificacioParametres
- guardarClassificacio2(ClassificacioParametres, String) - Static method in class IO.CSV
-
Guarda una ClassificacioParametres en un format una mica diferent que el metode guardarClassificacio()
- guardarClassificacioSeleccio(ClassificacioParametres, SeleccioIndividus, String) - Static method in class IO.CSV
-
Guarda una ClassificacioParametres
- guardarCoeficientVariancia(ModelEstadistic, String) - Static method in class IO.CSV
-
- guardarConfusio(Confusio, String) - Static method in class IO.CSV
-
Guarda una matriu de confusio
- guardarConfusioBinaria(ConfusioBinaria, String) - Static method in class IO.CSV
-
Guarda una ConfusioBinaria.
- guardarConfusioBinaritzada(ConfusioBinaritzada, String) - Static method in class IO.CSV
-
Guarda una ConfusioBinaritzada
- guardarDistancies(MatriuDistancies, String) - Method in class IO.BIN
-
Guarda la Matriu de Distancies en format binari de java.
- guardarDistancies(MatriuDistancies, String) - Static method in class IO.CSV
-
Guarda la matriu en un fitxer *.csv.
- guardarDistanciesSeleccions(MatriuDistancies, SeleccioIndividus, String) - Static method in class IO.CSV
-
- guardarDistanciesVectors(MatriuDistancies, String) - Static method in class IO.CSV
-
Guarda la matriu en un fitxer *.csv separant els vectors de la matriu en files
La Matriu de Distancies no estara ordenada.
- guardaResAgentsIPesos(Classificacio[], Object[], BigDecimal[][], Population, String) - Static method in class IO.CSV
-
Emagatzema un fitxer amb els resultats independents de cada Agent.
- guardarMatriu(Matriu, String) - Static method in class IO.CSV
-
Guarda la matriu en un format CSV
- guardarPoblacio(Population, String) - Static method in class IO.CSV
-
Guarda una poblacio en un fitxer en format '.csv' (Coma Separated Values).
- guardarSeleccio(SeleccioIndividus, String) - Static method in class IO.CSV
-
Guarda les Seleccions d'una població
- guardarSeleccions(SeleccioIndividus, String) - Static method in class IO.CSV
-
- GWeightingProcessLearning - Class in Core.BaseLearners.LearningAttributeWeights
-
- GWeightingProcessLearning(int, int, double, double) - Constructor for class Core.BaseLearners.LearningAttributeWeights.GWeightingProcessLearning
-
- GWeightingProcessLearning() - Constructor for class Core.BaseLearners.LearningAttributeWeights.GWeightingProcessLearning
-
- GWeightingProcessLearning.Individual - Class in Core.BaseLearners.LearningAttributeWeights
-
- GWeightingProcessLearning.Individual(int, Double) - Constructor for class Core.BaseLearners.LearningAttributeWeights.GWeightingProcessLearning.Individual
-
- GWeightingProcessLearning.Individual(List<Double>) - Constructor for class Core.BaseLearners.LearningAttributeWeights.GWeightingProcessLearning.Individual
-