- SalzbergModified - Class in Core.BaseLearners.LearningAttributeWeights
-
- SalzbergModified(String) - Constructor for class Core.BaseLearners.LearningAttributeWeights.SalzbergModified
-
- SalzbergModified(String, double, int) - Constructor for class Core.BaseLearners.LearningAttributeWeights.SalzbergModified
-
- SalzbergWeightLearning - Class in Core.BaseLearners.LearningAttributeWeights
-
This class implements the Slzberg (1991) method for learning attributes weight.
- SalzbergWeightLearning() - Constructor for class Core.BaseLearners.LearningAttributeWeights.SalzbergWeightLearning
-
- SAweightLearning - Class in Core.BaseLearners.LearningAttributeWeights
-
Implements a Simulated Annealing Optimization method to optimize the weight of the
attributes.
- SAweightLearning() - Constructor for class Core.BaseLearners.LearningAttributeWeights.SAweightLearning
-
- SAweightLearning(float, float) - Constructor for class Core.BaseLearners.LearningAttributeWeights.SAweightLearning
-
- sdev(double[]) - Static method in class Core.Tools.Statistics
-
Returns the sample standard deviation of an array of double.
- segon - Variable in class Core.Tools.Parell
-
- SeleccioIndividus - Class in Core.CBR.Models.Results
-
Representa la seleccio dels individus mes semblants per cadascun dels individus d'una llista.
- SeleccioIndividus() - Constructor for class Core.CBR.Models.Results.SeleccioIndividus
-
- seleccioNatuaral() - Method in class Core.DistributedApproaches.MetaCBR.Weights.Genetic.PoblacioCromosomes
-
Metode que creara la poblacio que avancara a la seguent etapa.
- select(MatriuDistancies, Population, Population, String) - Method in class Core.CBR.Retrieve.Selection.Selection
-
Abstract methods of Selection.
- select(MatriuDistancies, Population, Population, String) - Method in class Core.CBR.Retrieve.Selection.Selection1K
-
Selection method that returns the closest train case for each test case.
- select(MatriuDistancies, Population, Population, String) - Method in class Core.CBR.Retrieve.Selection.SelectionNK
-
Selection method that returns the N closest train cases for each test case.
- select(MatriuDistancies, Population, Population, String) - Method in class Core.CBR.Retrieve.Selection.SelectionThreshold
-
Selection method that returns all the cases from train that surpass a
given threshold of similarity with each test case.
- Selection - Class in Core.CBR.Retrieve.Selection
-
Abstract class.
- Selection() - Constructor for class Core.CBR.Retrieve.Selection.Selection
-
- Selection1K - Class in Core.CBR.Retrieve.Selection
-
Specific implementation of Selection.
- Selection1K() - Constructor for class Core.CBR.Retrieve.Selection.Selection1K
-
- SelectionFactory - Class in Core.CBR.Retrieve.Selection
-
Constructor class for Selection.
- SelectionFactory() - Constructor for class Core.CBR.Retrieve.Selection.SelectionFactory
-
- SelectionNK - Class in Core.CBR.Retrieve.Selection
-
- SelectionNK() - Constructor for class Core.CBR.Retrieve.Selection.SelectionNK
-
- SelectionThreshold - Class in Core.CBR.Retrieve.Selection
-
- SelectionThreshold() - Constructor for class Core.CBR.Retrieve.Selection.SelectionThreshold
-
- sequence_dist - Variable in class Core.CBR.Distances.Globals.GlobalDistance
-
Object to computeDistance the local sequence computeDistance.
- SEQUENCIA - Static variable in class Core.CBR.Models.Attribute
-
Define SEQUENCIA = 4
- serialize(Object) - Method in interface IO.JSON.Gson.com.google.gson.JsonSerializationContext
-
Invokes default serialization on the specified object.
- serialize(Object, Type) - Method in interface IO.JSON.Gson.com.google.gson.JsonSerializationContext
-
Invokes default serialization on the specified object passing the specific type information.
- serialize(T, Type, JsonSerializationContext) - Method in interface IO.JSON.Gson.com.google.gson.JsonSerializer
-
Gson invokes this call-back method during serialization when it encounters a field of the
specified type.
- serialize(Long) - Method in enum IO.JSON.Gson.com.google.gson.LongSerializationPolicy
-
Serialize this value using this serialization policy.
- SerializedName - Annotation Type in IO.JSON.Gson.com.google.gson.annotations
-
An annotation that indicates this member should be serialized to JSON with
the provided name value as its field name.
- serializeNulls() - Method in class IO.JSON.Gson.com.google.gson.Gson
-
- serializeNulls() - Method in class IO.JSON.Gson.com.google.gson.GsonBuilder
-
Configure Gson to serialize null fields.
- serializeSpecialFloatingPointValues() - Method in class IO.JSON.Gson.com.google.gson.GsonBuilder
-
Section 2.4 of
JSON specification disallows
special double values (NaN, Infinity, -Infinity).
- set(int, JsonElement) - Method in class IO.JSON.Gson.com.google.gson.JsonArray
-
Replaces the element at the specified position in this array with the specified element.
- setAcceptableDifference(float) - Method in class Core.BaseLearners.LearningAttributeWeights.SalzbergWeightLearning
-
Sets the acceptable difference between numerical values in the
classification.
- setAdaptation(Double) - Method in class Core.BaseLearners.LearningAttributeWeights.GWeightingProcessLearning.Individual
-
- setAlpha(double) - Method in class Core.CBR.Revise.RevisePepperAdaptableLearnRate
-
- setAttributes(HashMap<String, Object>) - Method in class Core.CBR.Models.Individual
-
- setAttributes(Attribute[]) - Method in class Core.CBR.Models.Population
-
Donades uns attributes, els posa dins la population.
- setClasse(String) - Method in class Core.DistributedApproaches.MultiAgent.CoordinadorSingle_Experiment
-
- setClassificacioReal(Classificacio) - Method in class Core.CBR.Models.Results.ClassificacioParametres
-
Defineix la classificacio real
- setConfiances(double[]) - Method in class Core.CBR.Models.Results.ModelEstadistic
-
- setConfiancesRUN(double[]) - Method in class Core.CBR.Models.Results.ModelEstadistic
-
- setCoordinador(Coordinador) - Method in class Core.DistributedApproaches.MetaCBR.Weights.CalcPesos
-
- setCoordinador(Coordinador) - Method in class Core.DistributedApproaches.MetaCBR.Weights.CalcPesosGenetic
-
Estableix la referencia del coordinador que manipula els sistema MAS.
- setCoordinador(Coordinador) - Method in class Core.DistributedApproaches.MetaCBR.Weights.CalcPesosSingle_ExperimentBackPropagation
-
Deprecated.
- setCoordinador(Coordinador) - Method in class Core.DistributedApproaches.MetaCBR.Weights.CalcPesosSingle_ExperimentBackPropagation2
-
Deprecated.
- setCoordinador(Coordinador) - Method in class Core.DistributedApproaches.MetaCBR.Weights.CalcPesosSingle_ExperimentBackPropagation3
-
Deprecated.
- setCoordinador(Coordinador) - Method in class Core.DistributedApproaches.MetaCBR.Weights.CalcPesosSingle_ExperimentBackPropagation4
-
Deprecated.
- setCp(CalcPesos) - Method in class Core.DistributedApproaches.MultiAgent.CoordinadorSingle_Experiment
-
- setDateFormat(String) - Method in class IO.JSON.Gson.com.google.gson.GsonBuilder
-
Configures Gson to serialize Date objects according to the pattern provided.
- setDateFormat(int) - Method in class IO.JSON.Gson.com.google.gson.GsonBuilder
-
Configures Gson to to serialize Date objects according to the style value provided.
- setDateFormat(int, int) - Method in class IO.JSON.Gson.com.google.gson.GsonBuilder
-
Configures Gson to to serialize Date objects according to the style value provided.
- setDescription(String) - Method in class Core.CBR.Models.Attribute
-
- setDirectori(String) - Method in class Core.DistributedApproaches.MetaCBR.Weights.CalcPesos
-
- setDiscPercent(int) - Method in class Core.BaseLearners.LearningAttributeWeights.SalzbergWeightLearning
-
Sets the percentage (0,100] of numeric values every group of
discretization will contain.
- setDiscRatio(float) - Method in class Core.BaseLearners.LearningAttributeWeights.SalzbergWeightLearning
-
Sets the ratio (0,1] of numeric values every group of discretization
will contain.
- setDistancia(Individual, Individual, Float) - Method in class Core.CBR.Models.Results.AgentResults
-
- setDistancia(String, String, Float) - Method in class Core.CBR.Models.Results.AgentResults
-
- setDistancia(Individual, Individual, Float) - Method in class Core.CBR.Models.Results.MatriuDistancies
-
Estableix la distancia entre els individus de test i train.
- setDistancia(String, String, Float) - Method in class Core.CBR.Models.Results.MatriuDistancies
-
Estableix la distancia entre els individus de test i train.
- setExclusionStrategies(ExclusionStrategy...) - Method in class IO.JSON.Gson.com.google.gson.GsonBuilder
-
Configures Gson to apply a set of exclusion strategies during both serialization and
deserialization.
- setFalseNegative(float) - Method in class Core.CBR.Models.Results.ConfusioBinaria
-
- setFalsePositive(float) - Method in class Core.CBR.Models.Results.ConfusioBinaria
-
- setFieldNamingPolicy(FieldNamingPolicy) - Method in class IO.JSON.Gson.com.google.gson.GsonBuilder
-
Configures Gson to apply a specific naming policy to an object's field during serialization
and deserialization.
- setFieldNamingStrategy(FieldNamingStrategy) - Method in class IO.JSON.Gson.com.google.gson.GsonBuilder
-
Configures Gson to apply a specific naming policy strategy to an object's field during
serialization and deserialization.
- setFiltering(ContextReasoning) - Method in class Core.CBR.Retrieve.Selection.Selection
-
Sets the filtering method for selection
- setFitness(Coordinador, Population, String, String) - Method in class Core.DistributedApproaches.MetaCBR.Weights.Genetic.Cromosoma
-
Calcula el fitness del cromosoma.
- setHtmlSafe(boolean) - Method in class IO.JSON.Gson.com.google.gson.stream.JsonWriter
-
Configure this writer to emit JSON that's safe for direct inclusion in HTML
and XML documents.
- setId(String) - Method in class Core.CBR.Models.Attribute
-
- setId(Object) - Method in class Core.CBR.Models.Individual
-
- setIds(String[]) - Method in class Core.CBR.Models.Results.ModelEstadistic
-
- setIds(Population) - Method in class Core.CBR.Models.Results.ModelEstadistic
-
- setIncrement(float) - Method in class Core.BaseLearners.LearningAttributeWeights.SalzbergWeightLearning
-
Set Salzberg's algorithm increment
- setIndent(String) - Method in class IO.JSON.Gson.com.google.gson.stream.JsonWriter
-
Sets the indentation string to be repeated for each level of indentation
in the encoded document.
- setK(int) - Method in class Core.CBR.Reuse.ReuseMajoriaK
-
Mètode per sobreescriure la K del reuse
- setKeepPercentage(float) - Method in class Core.CBR.Review.ReviewReductorRandom
-
Sets the unary ratio of the Population to be kept.
- setLearningRate(double) - Method in class Core.CBR.Review.IteratedCaseFiltering_forRegression_retrieveTimeDependent
-
- setLearningRateParameters(double, double) - Method in class Core.CBR.Revise.RevisePepperAdaptableLearnRate
-
- setLenient() - Method in class IO.JSON.Gson.com.google.gson.GsonBuilder
-
By default, Gson is strict and only accepts JSON as specified by
RFC 4627.
- setLenient(boolean) - Method in class IO.JSON.Gson.com.google.gson.stream.JsonReader
-
Configure this parser to be liberal in what it accepts.
- setLenient(boolean) - Method in class IO.JSON.Gson.com.google.gson.stream.JsonWriter
-
Configure this writer to relax its syntax rules.
- setLlindar(float) - Method in class Core.DistributedApproaches.MetaCBR.Weights.CalcPesos
-
- setLocalDistances(LocalDistance, LocalDistance, LocalDistance, LocalDistance, LocalDistance) - Method in class Core.CBR.Distances.Globals.GlobalDistance
-
Sets all the local computeDistance methods to the provided specific implementations.
- setLongSerializationPolicy(LongSerializationPolicy) - Method in class IO.JSON.Gson.com.google.gson.GsonBuilder
-
Configures Gson to apply a specific serialization policy for Long and long
objects.
- setLowerKs(boolean) - Method in class Core.CBR.Reuse.ReuseMajoriaK
-
Mètode per indicar si volem que es calculin tots els valors possibles fins a K o no
- setMaxDiff(double) - Method in class Core.CBR.Review.IterativeCaseFiltering_forRegression
-
Set the maxDiff which is the maximum difference between the solutions of
two cases in order to be considered to have similar (equal) solutions
- setMaxDiff(double) - Method in class Core.CBR.Review.ReviewPepper
-
Set the maxDiff which is the maximum difference between the solutions of
two cases in order to be considered to have similar (equal) solutions
- setMeans(double[]) - Method in class Core.CBR.Models.Results.ModelEstadistic
-
- setMinDistance(double) - Method in class Core.CBR.Retain.TemporalAdaptiveRetain
-
- setMissingMethod(Missing) - Method in class Core.CBR.Distances.Locals.LocalDistance
-
Adds a computeDistance computation method with missing values to this.
- setN(int) - Method in class Core.CBR.Reuse.ReuseProbabilisticMulticlassK
-
Mètode per sobreescriure el valor de la "N" del reuse
- setN(float) - Method in class Core.CBR.Review.ReviewReductorToN
-
Sets the number of cases to be kept.
- setNegatiu(String) - Method in class Core.CBR.Reuse.Reuse
-
- setNegatiu(String) - Method in class Core.DistributedApproaches.MultiAgent.CoordinadorSingle_Experiment
-
- setPas(int) - Method in class Core.CBR.Reuse.ReuseProbabilistic
-
Mètode per sobreescriure el "pas" del reuse (de quants en quants calcula Ks)
- setPas(int) - Method in class Core.CBR.Reuse.ReuseProbabilisticMulticlassK
-
Mètode per sobreescriure el "pas" del reuse (de quants en quants calcula Ks)
- setPatientData(double, double, double, double, double) - Method in class Core.CBR.Revise.RevisePepper
-
- setPatientData(double, double, double, double, double) - Method in class Core.CBR.Revise.RevisePepperAdaptableLearnRate
-
- setPopulation(Population) - Method in class Core.CBR.Models.Individual
-
- setPositiu(String) - Method in class Core.CBR.Reuse.Reuse
-
- setPositiu(String) - Method in class Core.DistributedApproaches.MultiAgent.CoordinadorSingle_Experiment
-
- setPredictionConfidenceMean(double) - Method in class Core.CBR.Models.Results.aggregatedNumericResults
-
- setPredictionConfidenceRUN(double) - Method in class Core.CBR.Models.Results.aggregatedNumericResults
-
- setPredictionMean(double) - Method in class Core.CBR.Models.Results.aggregatedNumericResults
-
- setPrettyPrinting() - Method in class IO.JSON.Gson.com.google.gson.GsonBuilder
-
Configures Gson to output Json that fits in a page for pretty printing.
- setProbabilitatMutacio(float) - Method in class Core.DistributedApproaches.MetaCBR.Weights.Genetic.Cromosoma
-
Setter de la probabilitat de mutacio.
- setRealClass(double) - Method in class Core.CBR.Models.Results.aggregatedNumericResults
-
- setSeleccio(Individual, Individual[]) - Method in class Core.CBR.Models.Results.SeleccioIndividus
-
Defineix la seleccio de l'individu 'ind'
- setSeleccio(String, Individual[]) - Method in class Core.CBR.Models.Results.SeleccioIndividus
-
Defineix la seleccio de l'individu 'id'
- setSerializeNulls(boolean) - Method in class IO.JSON.Gson.com.google.gson.stream.JsonWriter
-
Sets whether object members are serialized when their value is null.
- setStdDev(double) - Method in class Core.CBR.Models.Results.aggregatedNumericResults
-
- setStdDevs(double[]) - Method in class Core.CBR.Models.Results.ModelEstadistic
-
- setTau(int) - Method in class Core.CBR.Reuse.ReuseProbabilistic
-
Mètode per sobreescriure el valor de la tau del reuse
- setTest(Population) - Method in class Core.CBR.CBR
-
Sets the test population of this CBR to test
- setTest(Individual, Attribute[]) - Method in class Core.CBR.CBR
-
Sets the test population of this CBR to test and its attributes to attributes
- setTrain(Population) - Method in class Core.CBR.CBR
-
Sets the train population of this CBR to test
- setTrueNegative(float) - Method in class Core.CBR.Models.Results.ConfusioBinaria
-
- setTruePositive(float) - Method in class Core.CBR.Models.Results.ConfusioBinaria
-
- setType(int) - Method in class Core.CBR.Models.Attribute
-
- setValor(String, String, int) - Method in class Core.CBR.Models.Results.Confusio
-
Posa valor per a una casella de la matriu
- setValors(float, float, float, float) - Method in class Core.CBR.Models.Results.ConfusioBinaria
-
- setVarianceCoefs(double[]) - Method in class Core.CBR.Models.Results.ModelEstadistic
-
- setVariances(double[]) - Method in class Core.CBR.Models.Results.ModelEstadistic
-
- setVersion(double) - Method in class IO.JSON.Gson.com.google.gson.GsonBuilder
-
Configures Gson to enable versioning support.
- setWeight(float) - Method in class Core.CBR.Models.Attribute
-
- setWeight(double) - Method in class Core.CBR.Review.ReviewPepper
-
- setWeights(float[]) - Method in class Core.CBR.CBR
-
Modifies the weights of the train and test population of the CBR
- setWeights(float[]) - Method in class Core.CBR.Models.Population
-
Canvia els pesos dels attributes de la població
NOTA: Potser cal canviar la representació dels pesos de Float a BigDecimal
tant els doubles com els floats tenen problemes de precisió decimal
- SHORT - Static variable in class IO.JSON.Gson.com.google.gson.internal.bind.TypeAdapters
-
- SHORT_FACTORY - Static variable in class IO.JSON.Gson.com.google.gson.internal.bind.TypeAdapters
-
- shouldSkipClass(Class<?>) - Method in interface IO.JSON.Gson.com.google.gson.ExclusionStrategy
-
- shouldSkipField(FieldAttributes) - Method in interface IO.JSON.Gson.com.google.gson.ExclusionStrategy
-
- similitude(ArrayList<String>, ArrayList<String>) - Method in class Core.CBR.Distances.Locals.LocalDistanceSequencesDIST4MADCAPPablo
-
Returns the similitude between a container sequence and a contained one.
- Since - Annotation Type in IO.JSON.Gson.com.google.gson.annotations
-
An annotation that indicates the version number since a member or a type has been present.
- SingleRandom - Class in Core.Tools
-
- size() - Method in class Core.CBR.Models.Population
-
Retorna la quantitat d'Individus de la Population.
- size() - Method in class IO.JSON.Gson.com.google.gson.internal.LinkedHashTreeMap
-
- size() - Method in class IO.JSON.Gson.com.google.gson.internal.LinkedTreeMap
-
- size() - Method in class IO.JSON.Gson.com.google.gson.JsonArray
-
Returns the number of elements in the array.
- size() - Method in class IO.JSON.Gson.com.google.gson.JsonObject
-
Returns the number of key/value pairs in the object.
- SkipMissing - Class in Core.CBR.Distances.Unknown
-
- SkipMissing() - Constructor for class Core.CBR.Distances.Unknown.SkipMissing
-
- SkipMissingFromTest - Class in Core.CBR.Distances.Unknown
-
- SkipMissingFromTest() - Constructor for class Core.CBR.Distances.Unknown.SkipMissingFromTest
-
- skipValue() - Method in class IO.JSON.Gson.com.google.gson.internal.bind.JsonTreeReader
-
- skipValue() - Method in class IO.JSON.Gson.com.google.gson.stream.JsonReader
-
Skips the next value recursively.
- SqlDateTypeAdapter - Class in IO.JSON.Gson.com.google.gson.internal.bind
-
Adapter for java.sql.Date.
- SqlDateTypeAdapter() - Constructor for class IO.JSON.Gson.com.google.gson.internal.bind.SqlDateTypeAdapter
-
- sqr(double) - Static method in class Core.Tools.Statistics
-
Calculates the square of a double.
- Statistics - Class in Core.Tools
-
- Statistics() - Constructor for class Core.Tools.Statistics
-
- stdDev - Variable in class Core.CBR.Models.Results.aggregatedNumericResults
-
- stderr(double[]) - Static method in class Core.Tools.Statistics
-
Returns the standard error of an array of double, where this is defined
as the standard deviation of the sample divided by the square root of the
sample size.
- Streams - Class in IO.JSON.Gson.com.google.gson.internal
-
Reads and writes GSON parse trees over streams.
- STRING - Static variable in class IO.JSON.Gson.com.google.gson.internal.bind.TypeAdapters
-
- STRING_BUFFER - Static variable in class IO.JSON.Gson.com.google.gson.internal.bind.TypeAdapters
-
- STRING_BUFFER_FACTORY - Static variable in class IO.JSON.Gson.com.google.gson.internal.bind.TypeAdapters
-
- STRING_BUILDER - Static variable in class IO.JSON.Gson.com.google.gson.internal.bind.TypeAdapters
-
- STRING_BUILDER_FACTORY - Static variable in class IO.JSON.Gson.com.google.gson.internal.bind.TypeAdapters
-
- STRING_FACTORY - Static variable in class IO.JSON.Gson.com.google.gson.internal.bind.TypeAdapters
-
- substituirUltimIndividu(Individual, String) - Static method in class IO.CSV
-
Guarda un individu al final d'una població existent guardada en un fitxer
en format '.csv' (Coma Separated Values).
- subtypeOf(Type) - Static method in class IO.JSON.Gson.com.google.gson.internal.$Gson$Types
-
Returns a type that represents an unknown type that extends bound.
- supertypeOf(Type) - Static method in class IO.JSON.Gson.com.google.gson.internal.$Gson$Types
-
Returns a type that represents an unknown supertype of bound.