Uses of Class
com.structed.data.entities.Vector

Packages that use Vector

Package	Description
com.structed.data.entities
com.structed.models
com.structed.models.algorithms
com.structed.models.inference
com.structed.models.kernels
com.structed.utils

Uses of Vector in com.structed.data.entities

Methods in com.structed.data.entities that return Vector

Modifier and Type	Method and Description
Vector	Example1D.getFeatures()
Vector	Example.getFeatures()

Methods in com.structed.data.entities that return types with arguments of type Vector

Modifier and Type	Method and Description
java.util.ArrayList<Vector>	Example2D.getFeatures2D()
java.util.ArrayList<Vector>	Example.getFeatures2D()

Methods in com.structed.data.entities with parameters of type Vector

Modifier and Type	Method and Description
void	Example1D.setFeatures(Vector features)
void	Example.setFeatures(Vector features)

Method parameters in com.structed.data.entities with type arguments of type Vector

Modifier and Type	Method and Description
void	Example2D.setFeatures2D(java.util.ArrayList<Vector> features)
void	Example.setFeatures2D(java.util.ArrayList<Vector> features)

Constructors in com.structed.data.entities with parameters of type Vector

Constructor and Description
Vector(Vector v)

Uses of Vector in com.structed.models

Methods in com.structed.models that return Vector

Modifier and Type	Method and Description
Vector	Classifier.getAvgWeights() a getter for the averaged weights
Vector	StructEDModel.getWeights()
Vector	Classifier.train(Vector W, InstancesContainer trainInstances, java.util.List<java.lang.Double> params, InstancesContainer developInstances, int isAvg, boolean verbose) train the algorithm and return the final weights

Methods in com.structed.models with parameters of type Vector

Modifier and Type	Method and Description
PredictedLabels	Classifier.test(Vector W, Example example, int returnAll) predict
Vector	Classifier.train(Vector W, InstancesContainer trainInstances, java.util.List<java.lang.Double> params, InstancesContainer developInstances, int isAvg, boolean verbose) train the algorithm and return the final weights

Constructors in com.structed.models with parameters of type Vector

Constructor and Description
StructEDModel(Vector init_weights, IUpdateRule updateRule, ITaskLoss taskLoss, IInference inference, IKernel kernel, IFeatureFunctions phi, java.util.ArrayList<java.lang.Double> args)
StructEDModel(Vector init_weights, IUpdateRule updateRule, ITaskLoss taskLoss, IInference inference, IKernel kernel, IFeatureFunctions phi, java.util.ArrayList<java.lang.Double> args, boolean isShuffle)

Uses of Vector in com.structed.models.algorithms

Methods in com.structed.models.algorithms that return Vector

Modifier and Type	Method and Description
Vector	SVM.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule
Vector	RankSVM.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule
Vector	RampLoss.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule
Vector	ProbitLoss.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule
Vector	Perceptron.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule
Vector	PassiveAggressive.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule
Vector	OrbitLoss.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule
Vector	MultiClassReject.update(Vector currentWeights, Example example, ClassifierData classifierData)
Vector	IUpdateRule.update(Vector currentWeights, Example example, ClassifierData classifierData)
Vector	DirectLoss.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule
Vector	CRF.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule

Methods in com.structed.models.algorithms with parameters of type Vector

Modifier and Type	Method and Description
Vector	SVM.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule
Vector	RankSVM.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule
Vector	RampLoss.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule
Vector	ProbitLoss.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule
Vector	Perceptron.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule
Vector	PassiveAggressive.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule
Vector	OrbitLoss.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule
Vector	MultiClassReject.update(Vector currentWeights, Example example, ClassifierData classifierData)
Vector	IUpdateRule.update(Vector currentWeights, Example example, ClassifierData classifierData)
Vector	DirectLoss.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule
Vector	CRF.update(Vector currentWeights, Example example, ClassifierData classifierData) Implementation of the update rule

Uses of Vector in com.structed.models.inference

Methods in com.structed.models.inference with parameters of type Vector

Modifier and Type	Method and Description
PredictedLabels	InferenceVowelDurationData.predictForTest(Example vector, Vector W, java.lang.String realClass, ClassifierData classifierData, int returnAll)
PredictedLabels	InferenceRanking.predictForTest(Example vector, Vector W, java.lang.String realClass, ClassifierData classifierData, int returnAll)
PredictedLabels	InferenceOCR.predictForTest(Example vector, Vector W, java.lang.String realClass, ClassifierData classifierData, int returnAll)
PredictedLabels	InferenceMultiClassOld.predictForTest(Example vector, Vector W, java.lang.String realClass, ClassifierData classifierData, int returnAll)
PredictedLabels	InferenceMultiClass.predictForTest(Example vector, Vector W, java.lang.String realClass, ClassifierData classifierData, int returnAll)
PredictedLabels	InferenceDummyData.predictForTest(Example vector, Vector W, java.lang.String realClass, ClassifierData classifierData, int returnAll)
PredictedLabels	IInference.predictForTest(Example vector, Vector W, java.lang.String realClass, ClassifierData classifierData, int returnAll)
PredictedLabels	InferenceVowelDurationData.predictForTrain(Example vector, Vector W, java.lang.String realClass, ClassifierData classifierData, double epsilonArgMax)
PredictedLabels	InferenceRanking.predictForTrain(Example vector, Vector W, java.lang.String realClass, ClassifierData classifierData, double epsilonArgMax)
PredictedLabels	InferenceOCR.predictForTrain(Example vector, Vector W, java.lang.String realClass, ClassifierData classifierData, double epsilonArgMax)
PredictedLabels	InferenceMultiClassOld.predictForTrain(Example vector, Vector W, java.lang.String realClass, ClassifierData classifierData, double epsilonArgMax)
PredictedLabels	InferenceMultiClass.predictForTrain(Example vector, Vector W, java.lang.String realClass, ClassifierData classifierData, double epsilonArgMax)
PredictedLabels	InferenceDummyData.predictForTrain(Example vector, Vector W, java.lang.String realClass, ClassifierData classifierData, double epsilonArgMax)
PredictedLabels	IInference.predictForTrain(Example vector, Vector W, java.lang.String realClass, ClassifierData classifierData, double epsilonArgMax)

Uses of Vector in com.structed.models.kernels

Methods in com.structed.models.kernels that return Vector

Modifier and Type	Method and Description
Vector	RBF3Kernel.convertVector(Vector vector, int vectorSize)
Vector	RBF2Kernel.convertVector(Vector vector, int vectorSize)
Vector	Poly2Kernel.convertVector(Vector vector, int vectorSize)
Vector	IKernel.convertVector(Vector vector, int vectorSize)

Methods in com.structed.models.kernels with parameters of type Vector

Modifier and Type	Method and Description
Vector	RBF3Kernel.convertVector(Vector vector, int vectorSize)
Vector	RBF2Kernel.convertVector(Vector vector, int vectorSize)
Vector	Poly2Kernel.convertVector(Vector vector, int vectorSize)
Vector	IKernel.convertVector(Vector vector, int vectorSize)

Uses of Vector in com.structed.utils

Methods in com.structed.utils that return Vector

Modifier and Type	Method and Description
static Vector	MathHelpers.add2Vectors(Vector v1, Vector v2) add scalar to a double vector
static Vector	MathHelpers.addScalar2Vectors(Vector v1, double scalar) add scalar to a double vector
static Vector	ModelHandler.convert2Weights(java.util.ArrayList<java.util.ArrayList<java.lang.String>> data) Converts an array list of strings into a vector of double this function can be used after reading a vector from a file
static Vector	MathHelpers.mulScalarWithVectors(Vector v1, double scalar) add scalar to a double vector
static Vector	ModelHandler.setWeights(int type, java.lang.String path) Set weights for a model from a given file This function either sets the new vector to be zeros or reads the data from a given path
static Vector	MathHelpers.subtract2Vectors(Vector v1, Vector v2) add scalar to a double vector

Methods in com.structed.utils with parameters of type Vector

Modifier and Type	Method and Description
static Vector	MathHelpers.add2Vectors(Vector v1, Vector v2) add scalar to a double vector
static Vector	MathHelpers.addScalar2Vectors(Vector v1, double scalar) add scalar to a double vector
static Vector	MathHelpers.mulScalarWithVectors(Vector v1, double scalar) add scalar to a double vector
static double	MathHelpers.multipleVectors(Vector v1, Vector v2) multiple two double vectors
static java.util.HashMap<java.lang.Integer,java.lang.Double>	ModelHandler.printMul(Vector v1, Vector v2)
static java.util.TreeMap<java.lang.Integer,java.lang.Double>	ModelHandler.sortMul(Vector v1, Vector v2)
static Vector	MathHelpers.subtract2Vectors(Vector v1, Vector v2) add scalar to a double vector