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

Packages that use Example

Package	Description
com.structed.dal
com.structed.data
com.structed.data.entities
com.structed.data.featurefunctions
com.structed.models
com.structed.models.algorithms
com.structed.models.inference

Uses of Example in com.structed.dal

Methods in com.structed.dal that return Example

Modifier and Type	Method and Description
Example	LazyReader.readExample(java.util.ArrayList<java.lang.String> paths) read only one example and it's labels

Uses of Example in com.structed.data

Methods in com.structed.data that return Example

Modifier and Type	Method and Description
static Example	Factory.getExample(int type) Get specific example This function can be used also for adding new example types
Example	LazyInstancesContainer.getInstance(int index)
Example	InstancesContainer.getInstance(int index)

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

Modifier and Type	Method and Description
java.util.ArrayList<Example>	InstancesContainer.getInstances()

Methods in com.structed.data with parameters of type Example

Modifier and Type	Method and Description
static double	CacheVowelData.getCumulativeValue(Example example, int frameIndex, int featureNumber) get the cumulative value for a given feature from a given example
static void	CacheVowelData.updateCache(Example example) update the cache for the given example

Method parameters in com.structed.data with type arguments of type Example

Modifier and Type	Method and Description
void	InstancesContainer.setInstances(java.util.ArrayList<Example> instances)

Uses of Example in com.structed.data.entities

Subclasses of Example in com.structed.data.entities

Modifier and Type	Class and Description
class	Example1D this class will store the raw data and the desired label the raw data here will be presented as 1D array
class	Example2D this class will store the raw data and the desired label the raw data here will be presented as 2D array

Uses of Example in com.structed.data.featurefunctions

Methods in com.structed.data.featurefunctions that return Example

Modifier and Type	Method and Description
Example	IFeatureFunctions.convert(Example vector, java.lang.String label, IKernel kernel)
Example	FeatureFunctionsVowelDuration.convert(Example example, java.lang.String label, IKernel kernel)
Example	FeatureFunctionsSparse.convert(Example vector, java.lang.String label, IKernel kernel)
Example	FeatureFunctionsRank.convert(Example vector, java.lang.String label, IKernel kernel)
Example	FeatureFunctionsOCR.convert(Example vector, java.lang.String label, IKernel kernel)
Example	FeatureFunctionsDummy.convert(Example vector, java.lang.String label, IKernel kernel)

Methods in com.structed.data.featurefunctions with parameters of type Example

Modifier and Type	Method and Description
Example	IFeatureFunctions.convert(Example vector, java.lang.String label, IKernel kernel)
Example	FeatureFunctionsVowelDuration.convert(Example example, java.lang.String label, IKernel kernel)
Example	FeatureFunctionsSparse.convert(Example vector, java.lang.String label, IKernel kernel)
Example	FeatureFunctionsRank.convert(Example vector, java.lang.String label, IKernel kernel)
Example	FeatureFunctionsOCR.convert(Example vector, java.lang.String label, IKernel kernel)
Example	FeatureFunctionsDummy.convert(Example vector, java.lang.String label, IKernel kernel)

Uses of Example in com.structed.models

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

Modifier and Type	Method and Description
PredictedLabels	Classifier.test(Vector W, Example example, int returnAll) predict

Uses of Example in com.structed.models.algorithms

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

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 Example in com.structed.models.inference

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

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)