Uses of Class
it.uniroma2.sag.kelp.data.example.Example

Packages that use Example

Package	Description
it.uniroma2.sag.kelp.data.clustering
it.uniroma2.sag.kelp.data.dataset
it.uniroma2.sag.kelp.data.example
it.uniroma2.sag.kelp.data.manipulator
it.uniroma2.sag.kelp.data.representation.structure.similarity.compositional.dilation
it.uniroma2.sag.kelp.data.representation.structure.similarity.compositional.product
it.uniroma2.sag.kelp.data.representation.structure.similarity.compositional.sum
it.uniroma2.sag.kelp.kernel
it.uniroma2.sag.kelp.kernel.cache
it.uniroma2.sag.kelp.kernel.overPairs
it.uniroma2.sag.kelp.kernel.standard
it.uniroma2.sag.kelp.learningalgorithm
it.uniroma2.sag.kelp.learningalgorithm.budgetedAlgorithm
it.uniroma2.sag.kelp.learningalgorithm.classification.libsvm.solver
it.uniroma2.sag.kelp.learningalgorithm.classification.passiveaggressive
it.uniroma2.sag.kelp.learningalgorithm.classification.perceptron
it.uniroma2.sag.kelp.learningalgorithm.clustering.kernelbasedkmeans
it.uniroma2.sag.kelp.learningalgorithm.regression.passiveaggressive
it.uniroma2.sag.kelp.predictionfunction
it.uniroma2.sag.kelp.predictionfunction.classifier
it.uniroma2.sag.kelp.predictionfunction.classifier.multiclass
it.uniroma2.sag.kelp.predictionfunction.model
it.uniroma2.sag.kelp.predictionfunction.regressionfunction
it.uniroma2.sag.kelp.utils.evaluation

Uses of Example in it.uniroma2.sag.kelp.data.clustering

Methods in it.uniroma2.sag.kelp.data.clustering that return Example

Modifier and Type	Method and Description
abstract Example	ClusterExample.getExample()

Uses of Example in it.uniroma2.sag.kelp.data.dataset

Methods in it.uniroma2.sag.kelp.data.dataset that return Example

Modifier and Type	Method and Description
Example	SimpleDataset.getExample(int exampleIndex) Return the example stored in the exampleIndex position
Example	SimpleDataset.getNextExample()
Example	Dataset.getNextExample() Returns the next n Examples stored in the Dataset or a fewer number if n examples are not available.
Example	SimpleDataset.getRandExample()
Example	Dataset.getRandExample()
Example	DatasetReader.readNextExample() Returns the next example

Methods in it.uniroma2.sag.kelp.data.dataset that return types with arguments of type Example

Modifier and Type	Method and Description
List<Example>	SimpleDataset.getExamples()
List<Example>	Dataset.getExamples() Returns an array containing all the stored examples
List<Example>	SimpleDataset.getNextExamples(int n)
List<Example>	Dataset.getNextExamples(int n) Returns the next Example stored in the Dataset
List<Example>	SimpleDataset.getRandExamples(int k)
List<Example>	Dataset.getRandExamples(int k)

Methods in it.uniroma2.sag.kelp.data.dataset with parameters of type Example

Modifier and Type	Method and Description
void	SimpleDataset.addExample(Example example) Add an example to the dataset
void	Dataset.addExample(Example e)
void	DatasetWriter.writeNextExample(Example e)

Uses of Example in it.uniroma2.sag.kelp.data.example

Subclasses of Example in it.uniroma2.sag.kelp.data.example

Modifier and Type	Class and Description
class	ExamplePair It is the instance of an example pair, i.e.
class	SimpleExample An Example composed by a set of Representations.

Methods in it.uniroma2.sag.kelp.data.example that return Example

Modifier and Type	Method and Description
Example	Example.clone()
Example	ExamplePair.getLeftExample() Returns the left example in the pair
Example	ExamplePair.getRightExample() Returns the right example in the pair
static Example	ExampleFactory.parseExample(String exampleDescription)

Constructors in it.uniroma2.sag.kelp.data.example with parameters of type Example

Constructor and Description
ExamplePair(Example left, Example right)

Uses of Example in it.uniroma2.sag.kelp.data.manipulator

Methods in it.uniroma2.sag.kelp.data.manipulator with parameters of type Example

Modifier and Type	Method and Description
static SparseVector	VectorConcatenationManipulator.concatenateVectors(Example example, List<String> representationsToConcatenated, List<Float> weights) Returns a SparseVector corresponding to the concatenation of the vectors in example identified with representationsToBeMerged Each vector is scaled with respect to the corresponding scaling factor in weights
static void	VectorConcatenationManipulator.concatenateVectors(Example example, List<String> representationsToBeConcatenated, List<Float> weights, String combinationName) Add a new representation identified with combinationName corresponding to the concatenation of the vectors in example identified with representationsToBeMerged Each vector is scaled with respect to the corresponding scaling factor in weights
void	LexicalStructureElementManipulator.manipulate(Example example)
void	VectorConcatenationManipulator.manipulate(Example example)
void	PairSimilarityExtractor.manipulate(Example example)
void	NormalizationManipolator.manipulate(Example example)
void	Manipulator.manipulate(Example example)

Uses of Example in it.uniroma2.sag.kelp.data.representation.structure.similarity.compositional.dilation

Methods in it.uniroma2.sag.kelp.data.representation.structure.similarity.compositional.dilation with parameters of type Example

Modifier and Type	Method and Description
void	CompositionalNodeSimilarityDilation.manipulate(Example example)

Uses of Example in it.uniroma2.sag.kelp.data.representation.structure.similarity.compositional.product

Methods in it.uniroma2.sag.kelp.data.representation.structure.similarity.compositional.product with parameters of type Example

Modifier and Type	Method and Description
void	CompositionalNodeSimilarityProduct.manipulate(Example example)

Uses of Example in it.uniroma2.sag.kelp.data.representation.structure.similarity.compositional.sum

Methods in it.uniroma2.sag.kelp.data.representation.structure.similarity.compositional.sum with parameters of type Example

Modifier and Type	Method and Description
void	CompositionalNodeSimilaritySum.manipulate(Example example)

Uses of Example in it.uniroma2.sag.kelp.kernel

Methods in it.uniroma2.sag.kelp.kernel with parameters of type Example

Modifier and Type	Method and Description
float	Kernel.innerProduct(Example exA, Example exB) Returns the kernel similarity between the given examples.
protected abstract float	Kernel.kernelComputation(Example exA, Example exB) Returns the kernel similarity between the given examples.
protected float	DirectKernel.kernelComputation(Example exA, Example exB)
float	Kernel.squaredNorm(Example example) Returns the squared norm of the given example in the RKHS defined by this kernel
float	Kernel.squaredNormOfTheDifference(Example exA, Example exB) Returns the squared norm of the difference between the given examples in the RKHS.

Uses of Example in it.uniroma2.sag.kelp.kernel.cache

Methods in it.uniroma2.sag.kelp.kernel.cache with parameters of type Example

Modifier and Type	Method and Description
Float	KernelCache.getKernelValue(Example exA, Example exB) Retrieves in the cache the kernel operation between two examples
Float	SquaredNormCache.getSquaredNorm(Example example) Returns a previously stored norm of a given example
Float	FixIndexSquaredNormCache.getSquaredNorm(Example example)
Float	DynamicIndexSquaredNormCache.getSquaredNorm(Example example)
protected Float	StripeKernelCache.getStoredKernelValue(Example exA, Example exB)
protected abstract Float	KernelCache.getStoredKernelValue(Example exA, Example exB) Retrieves in the cache the kernel operation between two examples
protected Float	FixIndexKernelCache.getStoredKernelValue(Example exA, Example exB)
protected Float	DynamicIndexKernelCache.getStoredKernelValue(Example exA, Example exB)
void	StripeKernelCache.setKernelValue(Example exA, Example exB, float value)
abstract void	KernelCache.setKernelValue(Example exA, Example exB, float value) Stores a kernel computation in cache
void	FixIndexKernelCache.setKernelValue(Example exA, Example exB, float value)
void	DynamicIndexKernelCache.setKernelValue(Example exA, Example exB, float value)
void	SquaredNormCache.setSquaredNormValue(Example example, float squaredNorm) Stores a squared norm in the cache
void	FixIndexSquaredNormCache.setSquaredNormValue(Example example, float squaredNorm)
void	DynamicIndexSquaredNormCache.setSquaredNormValue(Example example, float squaredNorm)

Uses of Example in it.uniroma2.sag.kelp.kernel.overPairs

Methods in it.uniroma2.sag.kelp.kernel.overPairs with parameters of type Example

Modifier and Type	Method and Description
protected float	KernelOverPairs.kernelComputation(Example exA, Example exB)
abstract float	KernelOverPairs.kernelComputationOverPairs(Example exA1, Example exA2, Example exB1, Example exB2) Returns the kernel computation
float	PreferenceKernel.kernelComputationOverPairs(Example exA1, Example exA2, Example exB1, Example exB2)

Uses of Example in it.uniroma2.sag.kelp.kernel.standard

Methods in it.uniroma2.sag.kelp.kernel.standard with parameters of type Example

Modifier and Type	Method and Description
protected float	RbfKernel.kernelComputation(Example exA, Example exB)
protected float	PolynomialKernel.kernelComputation(Example exA, Example exB)
protected float	NormalizationKernel.kernelComputation(Example exA, Example exB)
protected float	LinearKernelCombination.kernelComputation(Example exA, Example exB)
float	NormalizationKernel.squaredNorm(Example example)

Uses of Example in it.uniroma2.sag.kelp.learningalgorithm

Methods in it.uniroma2.sag.kelp.learningalgorithm with parameters of type Example

Modifier and Type	Method and Description
protected float	PassiveAggressive.computeWeight(Example example, float lossValue, float exampleSquaredNorm, float aggressiveness)
Prediction	OnlineLearningAlgorithm.learn(Example example) Applies the learning process on a single example, updating its current model

Uses of Example in it.uniroma2.sag.kelp.learningalgorithm.budgetedAlgorithm

Methods in it.uniroma2.sag.kelp.learningalgorithm.budgetedAlgorithm with parameters of type Example

Modifier and Type	Method and Description
Prediction	BudgetedLearningAlgorithm.learn(Example example)
protected Prediction	Stoptron.predictAndLearnWithAvailableBudget(Example example)
protected Prediction	RandomizedBudgetPerceptron.predictAndLearnWithAvailableBudget(Example example)
protected abstract Prediction	BudgetedLearningAlgorithm.predictAndLearnWithAvailableBudget(Example example)
protected Prediction	Stoptron.predictAndLearnWithFullBudget(Example example)
protected Prediction	RandomizedBudgetPerceptron.predictAndLearnWithFullBudget(Example example)
protected abstract Prediction	BudgetedLearningAlgorithm.predictAndLearnWithFullBudget(Example example) Learns from a single example applying a specific policy that must be adopted when the budget is reached

Uses of Example in it.uniroma2.sag.kelp.learningalgorithm.classification.libsvm.solver

Fields in it.uniroma2.sag.kelp.learningalgorithm.classification.libsvm.solver declared as Example

Modifier and Type	Field and Description
protected Example[]	LibSvmSolver.examples The input examples

Methods in it.uniroma2.sag.kelp.learningalgorithm.classification.libsvm.solver with parameters of type Example

Modifier and Type	Method and Description
protected float	LibSvmSolver.kernel(Example exA, Example exB) This function embeds the call to the kernel function
protected void	LibSvmSolver.swap(Example[] array, int i, int j)

Uses of Example in it.uniroma2.sag.kelp.learningalgorithm.classification.passiveaggressive

Methods in it.uniroma2.sag.kelp.learningalgorithm.classification.passiveaggressive with parameters of type Example

Modifier and Type	Method and Description
BinaryMarginClassifierOutput	PassiveAggressiveClassification.learn(Example example)
BinaryMarginClassifierOutput	BudgetedPassiveAggressiveClassification.learn(Example example)
protected BinaryMarginClassifierOutput	BudgetedPassiveAggressiveClassification.predictAndLearnWithAvailableBudget(Example example)
protected BinaryMarginClassifierOutput	BudgetedPassiveAggressiveClassification.predictAndLearnWithFullBudget(Example example)

Uses of Example in it.uniroma2.sag.kelp.learningalgorithm.classification.perceptron

Methods in it.uniroma2.sag.kelp.learningalgorithm.classification.perceptron with parameters of type Example

Modifier and Type	Method and Description
BinaryMarginClassifierOutput	Perceptron.learn(Example example)

Uses of Example in it.uniroma2.sag.kelp.learningalgorithm.clustering.kernelbasedkmeans

Methods in it.uniroma2.sag.kelp.learningalgorithm.clustering.kernelbasedkmeans that return Example

Modifier and Type	Method and Description
Example	KernelBasedKMeansExample.getExample()

Methods in it.uniroma2.sag.kelp.learningalgorithm.clustering.kernelbasedkmeans with parameters of type Example

Modifier and Type	Method and Description
float	KernelBasedKMeansEngine.calculateDistance(Example example, Cluster cluster) Estimate the distance of an example from the centroid
float	KernelBasedKMeansEngine.evaluateKernel(Example e1, Example e2)
void	KernelBasedKMeansExample.setExample(Example example)

Constructors in it.uniroma2.sag.kelp.learningalgorithm.clustering.kernelbasedkmeans with parameters of type Example

Constructor and Description
KernelBasedKMeansExample(Example e, float dist)

Uses of Example in it.uniroma2.sag.kelp.learningalgorithm.regression.passiveaggressive

Methods in it.uniroma2.sag.kelp.learningalgorithm.regression.passiveaggressive with parameters of type Example

Modifier and Type	Method and Description
UnivariateRegressionOutput	PassiveAggressiveRegression.learn(Example example)

Uses of Example in it.uniroma2.sag.kelp.predictionfunction

Methods in it.uniroma2.sag.kelp.predictionfunction with parameters of type Example

Modifier and Type	Method and Description
Prediction	PredictionFunction.predict(Example example)

Uses of Example in it.uniroma2.sag.kelp.predictionfunction.classifier

Methods in it.uniroma2.sag.kelp.predictionfunction.classifier with parameters of type Example

Modifier and Type	Method and Description
ClassificationOutput	Classifier.predict(Example example)
BinaryMarginClassifierOutput	BinaryLinearClassifier.predict(Example example)
BinaryMarginClassifierOutput	BinaryKernelMachineClassifier.predict(Example example) Classifies an example applying the following formula: y(x) = \sum_{i \in SV}\alpha_i k(x_i, x) + b
abstract BinaryMarginClassifierOutput	BinaryClassifier.predict(Example example)

Uses of Example in it.uniroma2.sag.kelp.predictionfunction.classifier.multiclass

Methods in it.uniroma2.sag.kelp.predictionfunction.classifier.multiclass with parameters of type Example

Modifier and Type	Method and Description
OneVsOneClassificationOutput	OneVsOneClassifier.predict(Example example)
OneVsAllClassificationOutput	OneVsAllClassifier.predict(Example example)
MultiLabelClassificationOutput	MultiLabelClassifier.predict(Example example)

Uses of Example in it.uniroma2.sag.kelp.predictionfunction.model

Methods in it.uniroma2.sag.kelp.predictionfunction.model that return Example

Modifier and Type	Method and Description
Example	SupportVector.getInstance()

Methods in it.uniroma2.sag.kelp.predictionfunction.model with parameters of type Example

Modifier and Type	Method and Description
abstract void	BinaryModel.addExample(float weight, Example example) Adds an example to the model with a given weight.
void	BinaryLinearModel.addExample(float weight, Example example)
void	BinaryKernelMachineModel.addExample(float weight, Example example)
abstract float	BinaryModel.getSquaredNorm(Example example) Computes the squared norm of a given example according to the space in which the model is operating
float	BinaryLinearModel.getSquaredNorm(Example example)
float	BinaryKernelMachineModel.getSquaredNorm(Example example)
SupportVector	BinaryKernelMachineModel.getSupportVector(Example instance) Returns the support vector associated to a given instance, null the instance is not a support vector in this model
Integer	BinaryKernelMachineModel.getSupportVectorIndex(Example instance) Returns the index of the vector associated to a given instance, null the instance is not a support vector in this model
boolean	KernelMachineModel.isSupportVector(Example instance) Returns whether instance is a support vector in this model
boolean	BinaryKernelMachineModel.isSupportVector(Example instance)
void	SupportVector.setInstance(Example instance)
void	BinaryKernelMachineModel.substituteSupportVector(int index, Example newInstance, float newWeight)

Constructors in it.uniroma2.sag.kelp.predictionfunction.model with parameters of type Example

Constructor and Description
SupportVector(float weight, Example instance)

Uses of Example in it.uniroma2.sag.kelp.predictionfunction.regressionfunction

Methods in it.uniroma2.sag.kelp.predictionfunction.regressionfunction with parameters of type Example

Modifier and Type	Method and Description
abstract UnivariateRegressionOutput	UnivariateRegressionFunction.predict(Example example)
UnivariateRegressionOutput	UnivariateLinearRegressionFunction.predict(Example example)
UnivariateRegressionOutput	UnivariateKernelMachineRegressionFunction.predict(Example example)
RegressionOutput	RegressionFunction.predict(Example example)

Uses of Example in it.uniroma2.sag.kelp.utils.evaluation

Methods in it.uniroma2.sag.kelp.utils.evaluation with parameters of type Example

Modifier and Type	Method and Description
void	MulticlassClassificationEvaluator.addCount(Example test, Prediction prediction)
abstract void	Evaluator.addCount(Example test, Prediction predicted) This method should be implemented in the subclasses to update counters useful to compute the performance measure
void	BinaryClassificationEvaluator.addCount(Example test, Prediction prediction)