A B C D E F G H I J L M N O P R S T V

A

AbstractImageClassifier<IMAGE_CLASS,MODEL_CLASS> - Class in javax.visrec

Skeleton abstract class to make it easier to implement image classifier.

AbstractImageClassifier(Class<IMAGE_CLASS>, MODEL_CLASS) - Constructor for class javax.visrec.AbstractImageClassifier

AbstractMultiClassClassifier<MODEL_CLASS,T,R> - Class in javax.visrec.ml.classification

AbstractMultiClassClassifier() - Constructor for class javax.visrec.ml.classification.AbstractMultiClassClassifier

ACCURACY - Static variable in class javax.visrec.ml.eval.EvaluationMetrics

add(E) - Method in interface javax.visrec.ml.data.DataSet

Adds an element to this data set.

addAll(DataSet<E>) - Method in interface javax.visrec.ml.data.DataSet

Add an existing DataSet to the current DataSet

addClassifier(String, Classifier<T, R>) - Method in class javax.visrec.ml.classification.EnsambleClassifier

available() - Static method in class javax.visrec.spi.ServiceProvider

Gets a list of all available ServiceProviders.

B

BasicDataSet<E> - Class in javax.visrec.ml.data

Basic implementation of DataSet interface.

BasicDataSet() - Constructor for class javax.visrec.ml.data.BasicDataSet

BasicDataSet(DataSet.Column[]) - Constructor for class javax.visrec.ml.data.BasicDataSet

Creates an instance of BasicDataSet

BasicDataSet(List<E>) - Constructor for class javax.visrec.ml.data.BasicDataSet

Creates an instance of BasicDataSet

BinaryClassifier<T> - Interface in javax.visrec.ml.classification

Binary classifier classifies object into one of two categories (for example: true/false, yes/no, red/blue, spam/not-spam, fraud/not-fraud).

BinaryClassifierFactory<T> - Interface in javax.visrec.spi

BoundingBox - Class in javax.visrec.util

This class represents a bounding box over image at specified position, dimensions, label and score.

BoundingBox(String, float, int, int, float, float) - Constructor for class javax.visrec.util.BoundingBox

build() - Method in class javax.visrec.ml.classification.NeuralNetBinaryClassifier.Builder

build(Map<String, Object>) - Method in class javax.visrec.ml.classification.NeuralNetBinaryClassifier.Builder

build() - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.Builder

build(Map<String, Object>) - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.Builder

build() - Method in interface javax.visrec.util.Builder

Builds and returns an object using properties set using available builder methods.

build(Map<String, Object>) - Method in interface javax.visrec.util.Builder

Builds an object using properties from the specified input argument

builder() - Static method in interface javax.visrec.ml.classification.NeuralNetBinaryClassifier

builder() - Static method in interface javax.visrec.ml.classification.NeuralNetImageClassifier

Builder<T> - Interface in javax.visrec.util

Generic builder interface, that all builders for machine learning algorithms implement.

BuilderService - Interface in javax.visrec.spi

Deprecated.

buildWithSourceType(Class<T>, Class<R>) - Method in class javax.visrec.ml.classification.ClassifierBuilder

Deprecated.

Create the Classifier that is able to use sourceClss as input/source type and returnCls as return type of the Classifier

buildWithSourceType(Class<T>) - Method in class javax.visrec.ml.classification.ClassifierBuilder

Deprecated.

Create the Classifier that is able to use sourceClss as input/source type and String as default return type of the Classifier

C

ClassificationException - Exception in javax.visrec.ml

Exception thrown if anything fails in classifying input using a classifier.

ClassificationException(String, Throwable) - Constructor for exception javax.visrec.ml.ClassificationException

Creates a new instance of the exception

Classifier<T,R> - Interface in javax.visrec.ml.classification

Generic classifier interface, that all classifiers should implement.

ClassifierBuilder - Class in javax.visrec.ml.classification

Deprecated.

ClassifierBuilder() - Constructor for class javax.visrec.ml.classification.ClassifierBuilder

Deprecated.

ClassifierCreationException - Exception in javax.visrec.ml

Exception thrown if anything fails in the creation of a classifier.

ClassifierCreationException(String) - Constructor for exception javax.visrec.ml.ClassifierCreationException

Creates a new instance of the exception

ClassifierCreationException(String, Throwable) - Constructor for exception javax.visrec.ml.ClassifierCreationException

Creates a new instance of the exception

ClassifierFactoryService - Class in javax.visrec.spi

Service to provide the correct Classifier implementation.

classify(File) - Method in class javax.visrec.AbstractImageClassifier

classify(InputStream) - Method in class javax.visrec.AbstractImageClassifier

classify(T) - Method in interface javax.visrec.ml.classification.Classifier

Classifies specified instance of type T and returns classification results of type R.

classify(T) - Method in class javax.visrec.ml.classification.EnsambleClassifier

classify(File) - Method in interface javax.visrec.ml.classification.ImageClassifier

classify(InputStream) - Method in interface javax.visrec.ml.classification.ImageClassifier

clear() - Method in interface javax.visrec.ml.data.DataSet

Clear items of the DataSet

Column(String) - Constructor for class javax.visrec.ml.data.DataSet.Column

Column(String, DataSet.Type, boolean) - Constructor for class javax.visrec.ml.data.DataSet.Column

create(NeuralNetBinaryClassifier.BuildingBlock<T>) - Method in interface javax.visrec.spi.BinaryClassifierFactory

create(NeuralNetImageClassifier.BuildingBlock<T>) - Method in interface javax.visrec.spi.ImageClassifierFactory

createNeuralNetBinaryClassifier(NeuralNetBinaryClassifier.BuildingBlock<T>) - Method in class javax.visrec.spi.ClassifierFactoryService

Creates a new BinaryClassifier by providing the NeuralNetBinaryClassifier.BuildingBlock to tune the implementation's binary classifier.

createNeuralNetImageClassifier(NeuralNetImageClassifier.BuildingBlock<T>) - Method in class javax.visrec.spi.ClassifierFactoryService

Creates a new ImageClassifier by providing the NeuralNetImageClassifier.BuildingBlock to tune the implementation's image classifier.

current() - Static method in class javax.visrec.spi.ServiceProvider

Get the current ServiceProvider

D

DataSet<E> - Interface in javax.visrec.ml.data

Generic interface for all data sets for machine learning, independent of type of elements.

DataSet.Column - Class in javax.visrec.ml.data

DataSet.Type - Enum in javax.visrec.ml.data

DataSets - Class in javax.visrec.util

Deprecated.

deregisterServiceProvider(Class<T>, T) - Method in class javax.visrec.spi.ServiceRegistry

detectObject(T) - Method in interface javax.visrec.ml.detection.ObjectDetector

Detects object in specified image

E

EnsambleClassifier<T,R> - Class in javax.visrec.ml.classification

EnsambleClassifier is a group of classifiers that provide common classification result, which gives better accuracy then each individual classifier.

EnsambleClassifier() - Constructor for class javax.visrec.ml.classification.EnsambleClassifier

evaluate(MODEL_CLASS, DATASET_CLASS) - Method in interface javax.visrec.ml.eval.Evaluator

Evaluate a model with specified test set.

EvaluationMetrics - Class in javax.visrec.ml.eval

Wrapper for constants and values for classifier and regressor evaluation metrics.

EvaluationMetrics() - Constructor for class javax.visrec.ml.eval.EvaluationMetrics

Evaluator<MODEL_CLASS,DATASET_CLASS> - Interface in javax.visrec.ml.eval

Evaluation method for specified types of machine learning model and data set.

F

F1SCORE - Static variable in class javax.visrec.ml.eval.EvaluationMetrics

F_STAT - Static variable in class javax.visrec.ml.eval.EvaluationMetrics

Is there a relationship between inputs and predictions(outputs) at all.

G

get(int) - Method in interface javax.visrec.ml.data.DataSet

Get an item from the DataSet

get(String) - Method in class javax.visrec.ml.eval.EvaluationMetrics

getAllProviders() - Method in class javax.visrec.spi.ServiceRegistry

getBuilderService() - Method in class javax.visrec.spi.ServiceProvider

Deprecated.

getBuildingBlock() - Method in class javax.visrec.ml.classification.NeuralNetBinaryClassifier.Builder

getBuildingBlock() - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.Builder

getByImageType(Class<T>) - Method in interface javax.visrec.spi.ImageFactoryService

Get the ImageFactory implementation by its image type.

getClassifier(String) - Method in class javax.visrec.ml.classification.EnsambleClassifier

getClassifierFactoryService() - Method in class javax.visrec.spi.ServiceProvider

Get the ClassifierFactoryService

getColumnNames() - Method in class javax.visrec.ml.data.BasicDataSet

getColumnNames() - Method in interface javax.visrec.ml.data.DataSet

getHeight() - Method in class javax.visrec.util.BoundingBox

getHiddenLayers() - Method in class javax.visrec.ml.classification.NeuralNetBinaryClassifier.BuildingBlock

getId() - Method in class javax.visrec.util.BoundingBox

getImage(File) - Method in interface javax.visrec.ImageFactory

Retrieve the source through a File object and transform it into T.

getImage(URL) - Method in interface javax.visrec.ImageFactory

Retrieve the source through a URL object and transform it into T.

getImage(InputStream) - Method in interface javax.visrec.ImageFactory

Retrieve the source through an InputStream object and transform it into T.

getImageClass() - Method in interface javax.visrec.spi.ImageClassifierFactory

getImageFactory() - Method in class javax.visrec.AbstractImageClassifier

getImageFactoryService() - Method in class javax.visrec.spi.ServiceProvider

Get the ImageFactoryService

getImageHeight() - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.BuildingBlock

getImageWidth() - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.BuildingBlock

getImplementationService() - Method in class javax.visrec.spi.ServiceProvider

Get the ImplementationService

getInputClass() - Method in class javax.visrec.ml.classification.NeuralNetBinaryClassifier.BuildingBlock

getInputClass() - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.BuildingBlock

getInputsNum() - Method in class javax.visrec.ml.classification.NeuralNetBinaryClassifier.BuildingBlock

getIntercept() - Method in class javax.visrec.ml.regression.SimpleLinearRegression

The value of output when input is zero

getItems() - Method in class javax.visrec.ml.data.BasicDataSet

getItems() - Method in interface javax.visrec.ml.data.DataSet

Get a collection of the items in the DataSet

getLabel() - Method in class javax.visrec.util.BoundingBox

getLabelsFile() - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.BuildingBlock

getLearningRate() - Method in class javax.visrec.ml.classification.NeuralNetBinaryClassifier.BuildingBlock

getLearningRate() - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.BuildingBlock

getMaxEpochs() - Method in class javax.visrec.ml.classification.NeuralNetBinaryClassifier.BuildingBlock

getMaxEpochs() - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.BuildingBlock

getMaxError() - Method in class javax.visrec.ml.classification.NeuralNetBinaryClassifier.BuildingBlock

getMaxError() - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.BuildingBlock

getModel() - Method in class javax.visrec.AbstractImageClassifier

getModel() - Method in class javax.visrec.ml.classification.AbstractMultiClassClassifier

getModel() - Method in class javax.visrec.ml.regression.LogisticRegression

getModel() - Method in class javax.visrec.ml.regression.SimpleLinearRegression

getModel() - Method in interface javax.visrec.util.ModelProvider

getModelFile() - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.BuildingBlock

getName() - Method in class javax.visrec.ml.data.DataSet.Column

getName() - Method in class javax.visrec.spi.ImplementationService

Get the name of the implementation

getNetworkArchitecture() - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.BuildingBlock

getPriority() - Method in class javax.visrec.spi.ServiceProvider

If multiple implementations of the ServiceProvider are found on the classpath, then the ServiceProvider with the highest value of priority will be used by default.

getProvider(Class<T>) - Method in class javax.visrec.spi.ServiceRegistry

getScore() - Method in class javax.visrec.util.BoundingBox

getSlope() - Method in class javax.visrec.ml.regression.SimpleLinearRegression

How much on average output change when input changes by one.

getTargetClass() - Method in interface javax.visrec.spi.BinaryClassifierFactory

getTargetNames() - Method in class javax.visrec.ml.data.BasicDataSet

getTargetNames() - Method in interface javax.visrec.ml.data.DataSet

Get labels of target/output columns.

getThreshold() - Method in class javax.visrec.AbstractImageClassifier

getTrainingFile() - Method in class javax.visrec.ml.classification.NeuralNetBinaryClassifier.BuildingBlock

getTrainingFile() - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.BuildingBlock

getType() - Method in class javax.visrec.ml.data.DataSet.Column

getVersion() - Method in class javax.visrec.spi.ImplementationService

Get the version of the implementation

getWidth() - Method in class javax.visrec.util.BoundingBox

getX() - Method in class javax.visrec.util.BoundingBox

getY() - Method in class javax.visrec.util.BoundingBox

H

hiddenLayers(int...) - Method in class javax.visrec.ml.classification.NeuralNetBinaryClassifier.Builder

I

IMAGE_HEIGHT - Static variable in class javax.visrec.util.VisRecConstants

IMAGE_WIDTH - Static variable in class javax.visrec.util.VisRecConstants

ImageClassifier<IMAGE_CLASS> - Interface in javax.visrec.ml.classification

ImageClassifierFactory<T> - Interface in javax.visrec.spi

ImageFactory<T> - Interface in javax.visrec

This interface provides a standard way to get/read different(specified) kinds of image from file, url or input stream.

ImageFactoryService - Interface in javax.visrec.spi

The service to locate and find implementations of the ImageFactory interface.

imageHeight(int) - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.Builder

imageWidth(int) - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.Builder

ImplementationService - Class in javax.visrec.spi

Returns information about the used implementation of visual recognition API

ImplementationService() - Constructor for class javax.visrec.spi.ImplementationService

inputClass(Class<R>) - Method in class javax.visrec.ml.classification.NeuralNetBinaryClassifier.Builder

inputClass(Class<R>) - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.Builder

inputsNum(int) - Method in class javax.visrec.ml.classification.NeuralNetBinaryClassifier.Builder

InvalidBuilderConfigurationException - Exception in javax.visrec.util

The Builder is able to attempt to invoke setter methods of the implemented Builder interface.

isBalanced(DataSet<?>) - Static method in class javax.visrec.util.DataSets

Deprecated.

isEmpty() - Method in interface javax.visrec.ml.data.DataSet

Determines whether the DataSet is empty or not.

isTarget() - Method in class javax.visrec.ml.data.DataSet.Column

items - Variable in class javax.visrec.ml.data.BasicDataSet

List of data set items in this data set

iterator() - Method in interface javax.visrec.ml.data.DataSet

J

javax.visrec - package javax.visrec

Visual recognition API provides reusable abstractions for visual recognition tasks based on machine learning, that simplify implementation and integration of various machine learning models and image types.

javax.visrec.ml - package javax.visrec.ml

javax.visrec.ml.classification - package javax.visrec.ml.classification

javax.visrec.ml.data - package javax.visrec.ml.data

javax.visrec.ml.detection - package javax.visrec.ml.detection

javax.visrec.ml.eval - package javax.visrec.ml.eval

javax.visrec.ml.regression - package javax.visrec.ml.regression

javax.visrec.spi - package javax.visrec.spi

javax.visrec.util - package javax.visrec.util

L

LABELS_FILE - Static variable in class javax.visrec.util.VisRecConstants

labelsFile(File) - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.Builder

learningRate(float) - Method in class javax.visrec.ml.classification.NeuralNetBinaryClassifier.Builder

learningRate(float) - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.Builder

LogisticRegression<MODEL_CLASS> - Class in javax.visrec.ml.regression

This class performs basic binary classification - mapping of specified input to true/false with probability.

LogisticRegression() - Constructor for class javax.visrec.ml.regression.LogisticRegression

M

maxEpochs(int) - Method in class javax.visrec.ml.classification.NeuralNetBinaryClassifier.Builder

maxEpochs(int) - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.Builder

maxError(float) - Method in class javax.visrec.ml.classification.NeuralNetBinaryClassifier.Builder

maxError(float) - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.Builder

MEAN_ABSOLUTE_ERROR - Static variable in class javax.visrec.ml.eval.EvaluationMetrics

Mean value of sum of squared errors.

MEAN_SQUARED_ERROR - Static variable in class javax.visrec.ml.eval.EvaluationMetrics

Model - Interface in javax.visrec.util

Every model should provide methods for training and testing.

MODEL_SAVE_TO - Static variable in class javax.visrec.util.VisRecConstants

modelFile(File) - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.Builder

ModelProvider<M> - Interface in javax.visrec.util

This interface should be implemented if we want to allow access to underlying ML model

MultiClassClassifier<T,R> - Interface in javax.visrec.ml.classification

Machine learning algorithms that provide multi class classification.

N

networkArchitecture(File) - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.Builder

NeuralNetBinaryClassifier<T> - Interface in javax.visrec.ml.classification

NeuralNetBinaryClassifier.Builder<T> - Class in javax.visrec.ml.classification

NeuralNetBinaryClassifier.BuildingBlock<T> - Class in javax.visrec.ml.classification

NeuralNetImageClassifier<T> - Interface in javax.visrec.ml.classification

NeuralNetImageClassifier.Builder<T> - Class in javax.visrec.ml.classification

NeuralNetImageClassifier.BuildingBlock<T> - Class in javax.visrec.ml.classification

newClassifierBuilder() - Method in interface javax.visrec.spi.BuilderService

Deprecated.

Creates a new instance of the ClassifierBuilder

normalize(T) - Method in interface javax.visrec.ml.data.Normalizer

normalize(T, Normalizer<T>) - Static method in class javax.visrec.util.DataSets

Deprecated.

Normalizer<T extends DataSet<?>> - Interface in javax.visrec.ml.data

Interface to perform normalization/scaling of data set

O

ObjectDetector<T> - Interface in javax.visrec.ml.detection

Interface to perform object detection in image.

P

PRECISION - Static variable in class javax.visrec.ml.eval.EvaluationMetrics

predict(I) - Method in interface javax.visrec.ml.regression.Regressor

predict(Float) - Method in class javax.visrec.ml.regression.SimpleLinearRegression

R

R_SQUARED - Static variable in class javax.visrec.ml.eval.EvaluationMetrics

Percent of variation explained by the regression model.

RECALL - Static variable in class javax.visrec.ml.eval.EvaluationMetrics

registerServiceProvider(Class<T>, T) - Method in class javax.visrec.spi.ServiceRegistry

Regressor<I,R> - Interface in javax.visrec.ml.regression

Base interface for all regressors.

remove(String) - Method in class javax.visrec.ml.classification.EnsambleClassifier

removeDuplicates() - Static method in class javax.visrec.util.DataSets

Deprecated.

RESIDUAL_SQUARE_SUM - Static variable in class javax.visrec.ml.eval.EvaluationMetrics

RESIDUAL_STANDARD_ERROR - Static variable in class javax.visrec.ml.eval.EvaluationMetrics

Estimation of standard deviation of prediction errors for some given data set.

ROOT_MEAN_SQUARED_ERROR - Static variable in class javax.visrec.ml.eval.EvaluationMetrics

S

ServiceProvider - Class in javax.visrec.spi

The ServiceProvider is the centralized provider to provide API scoped services.

ServiceProvider() - Constructor for class javax.visrec.spi.ServiceProvider

ServiceRegistry - Class in javax.visrec.spi

Registry for all ML algorithms provided by this implementation.

ServiceRegistry() - Constructor for class javax.visrec.spi.ServiceRegistry

set(String, float) - Method in class javax.visrec.ml.eval.EvaluationMetrics

setColumnNames(String[]) - Method in class javax.visrec.ml.data.BasicDataSet

setColumnNames(String[]) - Method in interface javax.visrec.ml.data.DataSet

setCurrent(ServiceProvider) - Static method in class javax.visrec.spi.ServiceProvider

Set the current ServiceProvider

setId(int) - Method in class javax.visrec.util.BoundingBox

setModel(MODEL_CLASS) - Method in class javax.visrec.AbstractImageClassifier

setModel(MODEL_CLASS) - Method in class javax.visrec.ml.classification.AbstractMultiClassClassifier

setModel(MODEL_CLASS) - Method in class javax.visrec.ml.regression.LogisticRegression

setModel(MODEL_CLASS) - Method in class javax.visrec.ml.regression.SimpleLinearRegression

setThreshold(float) - Method in class javax.visrec.AbstractImageClassifier

SGD_LEARNING_RATE - Static variable in class javax.visrec.util.VisRecConstants

SGD_MAX_EPOCHS - Static variable in class javax.visrec.util.VisRecConstants

SGD_MAX_ERROR - Static variable in class javax.visrec.util.VisRecConstants

shuffle() - Method in interface javax.visrec.ml.data.DataSet

Shuffles the data set.

shuffle(Random) - Method in interface javax.visrec.ml.data.DataSet

Shuffles the data set using the specified random number generator.

SimpleLinearRegression<MODEL_CLASS> - Class in javax.visrec.ml.regression

Simple linear regression finds the best possible straight line that tries to explain given training set.

SimpleLinearRegression() - Constructor for class javax.visrec.ml.regression.SimpleLinearRegression

size() - Method in interface javax.visrec.ml.data.DataSet

Get the number of elements in DataSet

split(double...) - Method in class javax.visrec.ml.data.BasicDataSet

split(int) - Method in interface javax.visrec.ml.data.DataSet

Split dataset into specified number of equally sized parts.

split(int, Random) - Method in interface javax.visrec.ml.data.DataSet

Split dataset into specified number of equally sized parts, using specified random generator.

split(double) - Method in interface javax.visrec.ml.data.DataSet

Split data set in two parts, one with size of specified percentage, and other with rest of the data set

split(double...) - Method in interface javax.visrec.ml.data.DataSet

Split data set into parts of specified sizes

split(Random, double...) - Method in interface javax.visrec.ml.data.DataSet

Split data set into parts of specified sizes using specified random generator

standardize(T) - Static method in class javax.visrec.util.DataSets

Deprecated.

T

test(DataSet<?>) - Method in interface javax.visrec.util.Model

TEST_FILE - Static variable in class javax.visrec.util.VisRecConstants

toString() - Method in class javax.visrec.ml.eval.EvaluationMetrics

toString() - Method in class javax.visrec.spi.ImplementationService

Returns the name, major and minor version of the implementation

toString() - Method in class javax.visrec.util.BoundingBox

train(DataSet<?>) - Method in interface javax.visrec.util.Model

trainedModel(Object) - Method in class javax.visrec.ml.classification.ClassifierBuilder

Deprecated.

Set the trained model to be used during the image classification.

TRAINING_FILE - Static variable in class javax.visrec.util.VisRecConstants

trainingFile(File) - Method in class javax.visrec.ml.classification.NeuralNetBinaryClassifier.Builder

trainingFile(File) - Method in class javax.visrec.ml.classification.NeuralNetImageClassifier.Builder

V

valueOf(String) - Static method in enum javax.visrec.ml.data.DataSet.Type

Returns the enum constant of this type with the specified name.

values() - Static method in enum javax.visrec.ml.data.DataSet.Type

Returns an array containing the constants of this enum type, in the order they are declared.

VisRecConstants - Class in javax.visrec.util

Shared constants to retrieve and set values in properties.

A B C D E F G H I J L M N O P R S T V