Index (Deep Java Library 0.21.0

A B C D F G I L M N O P R S T U W
All Classes All Packages

A

AbstractImageFolder - Class in ai.djl.basicdataset.cv.classification: A dataset for loading image files stored in a folder structure.
AbstractImageFolder(AbstractImageFolder.ImageFolderBuilder<?>) - Constructor for class ai.djl.basicdataset.cv.classification.AbstractImageFolder
AbstractImageFolder.ImageFolderBuilder<T extends AbstractImageFolder.ImageFolderBuilder<T>> - Class in ai.djl.basicdataset.cv.classification: Used to build an AbstractImageFolder.
addAllFeatures() - Method in class ai.djl.basicdataset.tabular.AmesRandomAccess.Builder: Adds all features to the features set.
addCategoricalFeature(String) - Method in class ai.djl.basicdataset.tabular.TabularDataset.BaseBuilder: Adds a categorical feature to the feature set.
addCategoricalFeature(String, boolean) - Method in class ai.djl.basicdataset.tabular.TabularDataset.BaseBuilder: Adds a categorical feature to the feature set.
addCategoricalFeature(String, Map<String, Integer>, boolean) - Method in class ai.djl.basicdataset.tabular.TabularDataset.BaseBuilder: Adds a categorical feature to the feature set with specified mapping.
addCategoricalLabel(String) - Method in class ai.djl.basicdataset.tabular.TabularDataset.BaseBuilder: Adds a categorical feature to the label set.
addCategoricalLabel(String, boolean) - Method in class ai.djl.basicdataset.tabular.TabularDataset.BaseBuilder: Adds a categorical feature to the label set.
addCategoricalLabel(String, Map<String, Integer>, boolean) - Method in class ai.djl.basicdataset.tabular.TabularDataset.BaseBuilder: Adds a categorical feature to the feature set with specified mapping.
addFeature(Feature...) - Method in class ai.djl.basicdataset.tabular.TabularDataset.BaseBuilder: Adds the features to the feature set.
addFeature(String) - Method in class ai.djl.basicdataset.tabular.AirfoilRandomAccess.Builder: Adds a feature to the features set.
addFeature(String) - Method in class ai.djl.basicdataset.tabular.AmesRandomAccess.Builder: Adds a feature to the features set.
addFeature(String) - Method in class ai.djl.basicdataset.tabular.DailyDelhiClimate.Builder: Adds a feature to the features set.
addFeature(String) - Method in class ai.djl.basicdataset.tabular.MovieLens100k.Builder: Adds a feature to the features set.
addFeature(String, boolean) - Method in class ai.djl.basicdataset.tabular.AmesRandomAccess.Builder: Adds a feature to the features set with onehot encoding.
addLabel(Feature...) - Method in class ai.djl.basicdataset.tabular.TabularDataset.BaseBuilder: Adds the features to the label set.
addNumericFeature(String) - Method in class ai.djl.basicdataset.tabular.TabularDataset.BaseBuilder: Adds a numeric feature to the feature set.
addNumericFeature(String, boolean) - Method in class ai.djl.basicdataset.tabular.TabularDataset.BaseBuilder: Adds a numeric feature to the feature set.
addNumericLabel(String) - Method in class ai.djl.basicdataset.tabular.TabularDataset.BaseBuilder: Adds a number feature to the label set.
addNumericLabel(String, boolean) - Method in class ai.djl.basicdataset.tabular.TabularDataset.BaseBuilder: Adds a number feature to the label set.
ai.djl.basicdataset - package ai.djl.basicdataset: Contains a library of built-in datasets.
ai.djl.basicdataset.cv - package ai.djl.basicdataset.cv: Contains a library of built-in datasets for Application.CV.
ai.djl.basicdataset.cv.classification - package ai.djl.basicdataset.cv.classification: Contains a library of built-in datasets for Application.CV.IMAGE_CLASSIFICATION.
ai.djl.basicdataset.nlp - package ai.djl.basicdataset.nlp: Contains a library of built-in datasets for Application.NLP.
ai.djl.basicdataset.tabular - package ai.djl.basicdataset.tabular: Contains a library of built-in datasets for Application.Tabular.
ai.djl.basicdataset.tabular.utils - package ai.djl.basicdataset.tabular.utils: Contains utilities used within datasets that are Application.Tabular.
ai.djl.basicdataset.utils - package ai.djl.basicdataset.utils: Contains utilities used within the basic datasets.
AirfoilRandomAccess - Class in ai.djl.basicdataset.tabular: Airfoil Self-Noise Data Set from https://archive.ics.uci.edu/ml/datasets/Airfoil+Self-Noise.
AirfoilRandomAccess.Builder - Class in ai.djl.basicdataset.tabular: A builder to construct a AirfoilRandomAccess.
allowNoLabels - Variable in class ai.djl.basicdataset.tabular.TabularDataset.BaseBuilder
AmazonReview - Class in ai.djl.basicdataset.nlp: The AmazonReview dataset contains a Application.NLP.SENTIMENT_ANALYSIS set of reviews and their sentiment ratings.
AmazonReview(AmazonReview.Builder) - Constructor for class ai.djl.basicdataset.nlp.AmazonReview: Creates a new instance of AmazonReview with the given necessary configurations.
AmazonReview.Builder - Class in ai.djl.basicdataset.nlp: A builder to construct a AmazonReview.
AmesRandomAccess - Class in ai.djl.basicdataset.tabular: Ames house pricing dataset from https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data.
AmesRandomAccess.Builder - Class in ai.djl.basicdataset.tabular: A builder to construct a AmesRandomAccess.
Annotation() - Constructor for class ai.djl.basicdataset.cv.CocoMetadata.Annotation
apply(T) - Method in interface ai.djl.basicdataset.utils.ThrowingFunction: Applies this function to the given argument.
artifactId - Variable in class ai.djl.basicdataset.nlp.TextDataset.Builder
availableSize() - Method in class ai.djl.basicdataset.cv.BananaDetection
availableSize() - Method in class ai.djl.basicdataset.cv.classification.AbstractImageFolder
availableSize() - Method in class ai.djl.basicdataset.cv.classification.CaptchaDataset
availableSize() - Method in class ai.djl.basicdataset.cv.CocoDetection
availableSize() - Method in class ai.djl.basicdataset.cv.PikachuDetection
availableSize() - Method in class ai.djl.basicdataset.nlp.GoEmotions: Returns the number of records available to be read in this Dataset.
availableSize() - Method in class ai.djl.basicdataset.nlp.PennTreebankText
availableSize() - Method in class ai.djl.basicdataset.nlp.StanfordMovieReview
availableSize() - Method in class ai.djl.basicdataset.nlp.StanfordQuestionAnsweringDataset: Returns the number of records available to be read in this Dataset.
availableSize() - Method in class ai.djl.basicdataset.nlp.TatoebaEnglishFrenchDataset
availableSize() - Method in class ai.djl.basicdataset.nlp.UniversalDependenciesEnglishEWT: Returns the number of records available to be read in this Dataset.
availableSize() - Method in class ai.djl.basicdataset.tabular.CsvDataset

B

BananaDetection - Class in ai.djl.basicdataset.cv: Banana image detection dataset contains a 3 x 256 x 256 image in the dataset with a banana of varying sizes in each image.
BananaDetection(BananaDetection.Builder) - Constructor for class ai.djl.basicdataset.cv.BananaDetection: Creates a new instance of RandomAccessDataset with the given necessary configurations.
BananaDetection.Builder - Class in ai.djl.basicdataset.cv: A builder for a BananaDetection.
BaseBuilder() - Constructor for class ai.djl.basicdataset.cv.ImageDataset.BaseBuilder
BaseBuilder() - Constructor for class ai.djl.basicdataset.tabular.TabularDataset.BaseBuilder
BasicDatasets - Interface in ai.djl.basicdataset: An interface which contains datasets that are hosted on https://mlrepo.djl.ai/.
build() - Method in class ai.djl.basicdataset.cv.BananaDetection.Builder: Builds the BananaDetection.
build() - Method in class ai.djl.basicdataset.cv.classification.CaptchaDataset.Builder: Builds the CaptchaDataset.
build() - Method in class ai.djl.basicdataset.cv.classification.Cifar10.Builder: Builds a new Cifar10.
build() - Method in class ai.djl.basicdataset.cv.classification.FashionMnist.Builder: Builds the Mnist.
build() - Method in class ai.djl.basicdataset.cv.classification.FruitsFreshAndRotten.Builder: Builds the FruitsFreshAndRotten.
build() - Method in class ai.djl.basicdataset.cv.classification.ImageFolder.Builder: Builds the ImageFolder.
build() - Method in class ai.djl.basicdataset.cv.classification.ImageNet.Builder: Builds the ImageNet.
build() - Method in class ai.djl.basicdataset.cv.classification.Mnist.Builder: Builds the Mnist.
build() - Method in class ai.djl.basicdataset.cv.CocoDetection.Builder: Builds the new CocoDetection.
build() - Method in class ai.djl.basicdataset.cv.PikachuDetection.Builder: Builds the PikachuDetection.
build() - Method in class ai.djl.basicdataset.nlp.AmazonReview.Builder: Builds the new CsvDataset.
build() - Method in class ai.djl.basicdataset.nlp.CookingStackExchange.Builder: Builds a new CookingStackExchange.
build() - Method in class ai.djl.basicdataset.nlp.GoEmotions.Builder: Builds the TatoebaEnglishFrenchDataset.
build() - Method in class ai.djl.basicdataset.nlp.PennTreebankText.Builder: Builds a new PennTreebankText object.
build() - Method in class ai.djl.basicdataset.nlp.StanfordMovieReview.Builder: Builds the StanfordMovieReview.
build() - Method in class ai.djl.basicdataset.nlp.StanfordQuestionAnsweringDataset.Builder: Builds the StanfordQuestionAnsweringDataset.
build() - Method in class ai.djl.basicdataset.nlp.TatoebaEnglishFrenchDataset.Builder: Builds the TatoebaEnglishFrenchDataset.
build() - Method in class ai.djl.basicdataset.nlp.UniversalDependenciesEnglishEWT.Builder: Builds the UniversalDependenciesEnglishEWT.
build() - Method in class ai.djl.basicdataset.nlp.WikiText2.Builder: Builds a new WikiText2 object.
build() - Method in class ai.djl.basicdataset.tabular.AirfoilRandomAccess.Builder: Builds the new CsvDataset.
build() - Method in class ai.djl.basicdataset.tabular.AmesRandomAccess.Builder: Builds the new AmesRandomAccess.
build() - Method in class ai.djl.basicdataset.tabular.CsvDataset.CsvBuilder: Builds the new CsvDataset.
build() - Method in class ai.djl.basicdataset.tabular.DailyDelhiClimate.Builder: Builds the new DailyDelhiClimate.
build() - Method in class ai.djl.basicdataset.tabular.MovieLens100k.Builder: Builds the new MovieLens100k.
buildBaseTranslator(Model, Map<String, ?>) - Method in class ai.djl.basicdataset.tabular.TabularTranslatorFactory
builder() - Static method in class ai.djl.basicdataset.cv.BananaDetection: Creates a new builder to build a BananaDetection.
builder() - Static method in class ai.djl.basicdataset.cv.classification.CaptchaDataset: Creates a builder to build a CaptchaDataset.
builder() - Static method in class ai.djl.basicdataset.cv.classification.Cifar10: Creates a builder to build a Cifar10.
builder() - Static method in class ai.djl.basicdataset.cv.classification.FashionMnist: Creates a builder to build a Mnist.
builder() - Static method in class ai.djl.basicdataset.cv.classification.FruitsFreshAndRotten: Creates a new builder to build a FruitsFreshAndRotten.
builder() - Static method in class ai.djl.basicdataset.cv.classification.ImageFolder: Creates a new builder to build a ImageFolder.
builder() - Static method in class ai.djl.basicdataset.cv.classification.ImageNet: Creates a new builder to build a ImageNet.
builder() - Static method in class ai.djl.basicdataset.cv.classification.Mnist: Creates a builder to build a Mnist.
builder() - Static method in class ai.djl.basicdataset.cv.CocoDetection: Creates a builder to build a CocoDetection.
builder() - Static method in class ai.djl.basicdataset.cv.PikachuDetection: Creates a new builder to build a PikachuDetection.
builder() - Static method in class ai.djl.basicdataset.nlp.AmazonReview: Creates a new builder to build a AmazonReview.
builder() - Static method in class ai.djl.basicdataset.nlp.CookingStackExchange: Creates a builder to build a CookingStackExchange.
builder() - Static method in class ai.djl.basicdataset.nlp.GoEmotions: Creates a builder to build a GoEmotions.
builder() - Static method in class ai.djl.basicdataset.nlp.PennTreebankText: Creates a builder to build a PennTreebankText.
builder() - Static method in class ai.djl.basicdataset.nlp.StanfordMovieReview: Creates a new builder to build a StanfordMovieReview.
builder() - Static method in class ai.djl.basicdataset.nlp.StanfordQuestionAnsweringDataset: Creates a new builder to build a StanfordQuestionAnsweringDataset.
builder() - Static method in class ai.djl.basicdataset.nlp.TatoebaEnglishFrenchDataset: Creates a new builder to build a TatoebaEnglishFrenchDataset.
builder() - Static method in class ai.djl.basicdataset.nlp.UniversalDependenciesEnglishEWT: Creates a new builder to build a UniversalDependenciesEnglishEWT.
builder() - Static method in class ai.djl.basicdataset.nlp.WikiText2: Creates a builder to build a WikiText2.
builder() - Static method in class ai.djl.basicdataset.tabular.AirfoilRandomAccess: Creates a builder to build a AirfoilRandomAccess.
builder() - Static method in class ai.djl.basicdataset.tabular.AmesRandomAccess: Creates a builder to build a AmesRandomAccess.
builder() - Static method in class ai.djl.basicdataset.tabular.CsvDataset: Creates a builder to build a AmesRandomAccess.
builder() - Static method in class ai.djl.basicdataset.tabular.DailyDelhiClimate: Creates a builder to build a DailyDelhiClimate.
builder() - Static method in class ai.djl.basicdataset.tabular.MovieLens100k: Creates a builder to build a MovieLens100k.
Builder() - Constructor for class ai.djl.basicdataset.nlp.GoEmotions.Builder: Constructs a new builder.
Builder() - Constructor for class ai.djl.basicdataset.nlp.PennTreebankText.Builder: Constructs a new builder.
Builder() - Constructor for class ai.djl.basicdataset.nlp.StanfordMovieReview.Builder: Constructs a new builder.
Builder() - Constructor for class ai.djl.basicdataset.nlp.StanfordQuestionAnsweringDataset.Builder: Constructs a new builder.
Builder() - Constructor for class ai.djl.basicdataset.nlp.TatoebaEnglishFrenchDataset.Builder: Constructs a new builder.
Builder() - Constructor for class ai.djl.basicdataset.nlp.TextDataset.Builder: Constructs a new builder.
Builder() - Constructor for class ai.djl.basicdataset.nlp.UniversalDependenciesEnglishEWT.Builder: Constructs a new builder.

C

CAPTCHA_LENGTH - Static variable in class ai.djl.basicdataset.cv.classification.CaptchaDataset
CAPTCHA_OPTIONS - Static variable in class ai.djl.basicdataset.cv.classification.CaptchaDataset
CaptchaDataset - Class in ai.djl.basicdataset.cv.classification: A Dataset featuring captcha images.
CaptchaDataset(CaptchaDataset.Builder) - Constructor for class ai.djl.basicdataset.cv.classification.CaptchaDataset: Creates a new instance of CaptchaDataset.
CaptchaDataset.Builder - Class in ai.djl.basicdataset.cv.classification: A builder for a CaptchaDataset.
Category() - Constructor for class ai.djl.basicdataset.cv.CocoMetadata.Category
Cifar10 - Class in ai.djl.basicdataset.cv.classification: CIFAR10 image classification dataset from https://www.cs.toronto.edu/~kriz/cifar.html.
Cifar10.Builder - Class in ai.djl.basicdataset.cv.classification: A builder to construct a Cifar10.
CocoDetection - Class in ai.djl.basicdataset.cv: Coco image detection dataset from http://cocodataset.org/#home.
CocoDetection.Builder - Class in ai.djl.basicdataset.cv: A builder to construct a CocoDetection.
CocoMetadata - Class in ai.djl.basicdataset.cv: A metadata class to represent the structure of annotations in Coco.
CocoMetadata() - Constructor for class ai.djl.basicdataset.cv.CocoMetadata
CocoMetadata.Annotation - Class in ai.djl.basicdataset.cv: An annotation applied to an image in the coco dataset.
CocoMetadata.Category - Class in ai.djl.basicdataset.cv: An annotation category in the coco dataset.
CocoMetadata.Image - Class in ai.djl.basicdataset.cv: An image in the coco dataset.
CocoUtils - Class in ai.djl.basicdataset.cv: A utility class that assists in loading and parsing the annotations in Coco.
Configuration() - Constructor for class ai.djl.basicdataset.utils.TextData.Configuration
CookingStackExchange - Class in ai.djl.basicdataset.nlp: A text classification dataset contains questions from cooking.stackexchange.com and their associated tags on the site.
CookingStackExchange.Builder - Class in ai.djl.basicdataset.nlp: A builder to construct a CookingStackExchange.
CsvBuilder() - Constructor for class ai.djl.basicdataset.tabular.CsvDataset.CsvBuilder
CsvDataset - Class in ai.djl.basicdataset.tabular: CsvDataset represents the dataset that stored in a .csv file.
CsvDataset(CsvDataset.CsvBuilder<?>) - Constructor for class ai.djl.basicdataset.tabular.CsvDataset
CsvDataset.CsvBuilder<T extends CsvDataset.CsvBuilder<T>> - Class in ai.djl.basicdataset.tabular: Used to build a CsvDataset.
csvFormat - Variable in class ai.djl.basicdataset.tabular.CsvDataset.CsvBuilder
csvFormat - Variable in class ai.djl.basicdataset.tabular.CsvDataset
csvRecords - Variable in class ai.djl.basicdataset.tabular.CsvDataset
csvUrl - Variable in class ai.djl.basicdataset.tabular.CsvDataset.CsvBuilder
csvUrl - Variable in class ai.djl.basicdataset.tabular.CsvDataset

D

DailyDelhiClimate - Class in ai.djl.basicdataset.tabular: Daily Delhi climate dataset from https://www.kaggle.com/datasets/sumanthvrao/daily-climate-time-series-data.
DailyDelhiClimate.Builder - Class in ai.djl.basicdataset.tabular: A builder to construct a DailyDelhiClimate.
dataRequired() - Method in interface ai.djl.basicdataset.tabular.utils.Featurizer.DataFeaturizer: Returns the length of the data array required by Featurizer.deFeaturize(float[]).
dataRequired() - Method in interface ai.djl.basicdataset.tabular.utils.Featurizer: Returns the length of the data array required by Featurizer.deFeaturize(float[]).
deFeaturize(float[]) - Method in interface ai.djl.basicdataset.tabular.utils.Featurizer.DataFeaturizer: Converts the output data for a label back into the Java type.
deFeaturize(float[]) - Method in interface ai.djl.basicdataset.tabular.utils.Featurizer: Converts the output data for a label back into the Java type.
DJL_REPO_URL - Static variable in interface ai.djl.basicdataset.BasicDatasets
DynamicBuffer - Class in ai.djl.basicdataset.tabular.utils: A float buffer that can dynamically change it's capacity.
DynamicBuffer() - Constructor for class ai.djl.basicdataset.tabular.utils.DynamicBuffer: Constructs a new instance of DynamicBuffer.

F

FashionMnist - Class in ai.djl.basicdataset.cv.classification: FashMnist is a dataset from Zalando article images (https://github.com/zalandoresearch/fashion-mnist).
FashionMnist.Builder - Class in ai.djl.basicdataset.cv.classification: A builder for a FashionMnist.
Feature - Class in ai.djl.basicdataset.tabular.utils: A class contains feature name and its Featurizer.
Feature(String, boolean) - Constructor for class ai.djl.basicdataset.tabular.utils.Feature: Constructs a Feature instance.
Feature(String, Featurizer) - Constructor for class ai.djl.basicdataset.tabular.utils.Feature: Constructs a Feature instance.
Feature(String, Featurizer.DataFeaturizer) - Constructor for class ai.djl.basicdataset.tabular.utils.Feature: Constructs a Feature instance.
Feature(String, Map<String, Integer>, boolean) - Constructor for class ai.djl.basicdataset.tabular.utils.Feature: Constructs a Feature instance.
features - Variable in class ai.djl.basicdataset.tabular.TabularDataset.BaseBuilder
features - Variable in class ai.djl.basicdataset.tabular.TabularDataset
featurize(DynamicBuffer, String) - Method in interface ai.djl.basicdataset.tabular.utils.Featurizer: Puts encoded data into the float buffer.
Featurizer - Interface in ai.djl.basicdataset.tabular.utils: An interface that convert String to numeric data.
Featurizer.DataFeaturizer - Interface in ai.djl.basicdataset.tabular.utils: A Featurizer that only supports the data featurize operations, but not the full deFeaturize operations used by labels.
Featurizers - Class in ai.djl.basicdataset.tabular.utils: A utility class provides helper functions to create Featurizer.
FixedBucketSampler - Class in ai.djl.basicdataset.utils: FixedBucketSampler is a Sampler to be used with TextDataset, and PaddingStackBatchifier.
FixedBucketSampler(int) - Constructor for class ai.djl.basicdataset.utils.FixedBucketSampler: Constructs a new instance of FixedBucketSampler with the given number of buckets, and the given batch size.
FixedBucketSampler(int, int) - Constructor for class ai.djl.basicdataset.utils.FixedBucketSampler: Constructs a new instance of FixedBucketSampler with the given number of buckets, and the given batch size.
FixedBucketSampler(int, int, boolean) - Constructor for class ai.djl.basicdataset.utils.FixedBucketSampler: Constructs a new instance of FixedBucketSampler with the given number of buckets, and the given batch size.
flag - Variable in class ai.djl.basicdataset.cv.ImageDataset
fromMap(Map<String, String>) - Static method in class ai.djl.basicdataset.tabular.MapFeatures: Creates a MapFeatures from a source list.
FruitsFreshAndRotten - Class in ai.djl.basicdataset.cv.classification: FruitRottenFresh classification dataset that contains the same fruit where rotten and fresh class are stored in different sub folders.
FruitsFreshAndRotten.Builder - Class in ai.djl.basicdataset.cv.classification: A builder for the FruitsFreshAndRotten.

G

get(NDManager, long) - Method in class ai.djl.basicdataset.cv.classification.CaptchaDataset
get(NDManager, long) - Method in class ai.djl.basicdataset.cv.classification.ImageClassificationDataset
get(NDManager, long) - Method in class ai.djl.basicdataset.cv.ObjectDetectionDataset
get(NDManager, long) - Method in class ai.djl.basicdataset.nlp.GoEmotions: Gets the Record for the given index from the dataset.
get(NDManager, long) - Method in class ai.djl.basicdataset.nlp.PennTreebankText
get(NDManager, long) - Method in class ai.djl.basicdataset.nlp.StanfordMovieReview
get(NDManager, long) - Method in class ai.djl.basicdataset.nlp.StanfordQuestionAnsweringDataset: Gets the Record for the given index from the dataset.
get(NDManager, long) - Method in class ai.djl.basicdataset.nlp.TatoebaEnglishFrenchDataset
get(NDManager, long) - Method in class ai.djl.basicdataset.nlp.UniversalDependenciesEnglishEWT: Gets the Record for the given index from the dataset.
get(NDManager, long) - Method in class ai.djl.basicdataset.tabular.TabularDataset
getAll() - Method in class ai.djl.basicdataset.tabular.TabularResults: Returns all of the TabularResults.TabularResult.
getAnnotationById(long) - Method in class ai.djl.basicdataset.cv.CocoUtils: Returns an CocoMetadata.Annotation that corresponds to a given annotation id.
getAnnotationIdByImageId(long) - Method in class ai.djl.basicdataset.cv.CocoUtils: Returns all ids of the annotation that correspond to a given image id.
getAnnotations() - Method in class ai.djl.basicdataset.cv.CocoMetadata: Returns a list of all annotations.
getArea() - Method in class ai.djl.basicdataset.cv.CocoMetadata.Annotation: Returns the area of this annotation.
getAvailableFeatures() - Method in class ai.djl.basicdataset.tabular.AirfoilRandomAccess.Builder: Returns the available features of this dataset.
getAvailableFeatures() - Method in class ai.djl.basicdataset.tabular.AmesRandomAccess.Builder: Returns the available features of this dataset.
getAvailableFeatures() - Method in class ai.djl.basicdataset.tabular.DailyDelhiClimate.Builder: Returns the available features of this dataset.
getAvailableFeatures() - Method in class ai.djl.basicdataset.tabular.MovieLens100k.Builder: Returns the available features of this dataset.
getBaseInputType() - Method in class ai.djl.basicdataset.tabular.TabularTranslatorFactory
getBaseOutputType() - Method in class ai.djl.basicdataset.tabular.TabularTranslatorFactory
getBatchSize() - Method in class ai.djl.basicdataset.utils.FixedBucketSampler
getBoundingBox() - Method in class ai.djl.basicdataset.cv.CocoMetadata.Annotation: Returns the bounding box of this annotation.
getBuffer() - Method in class ai.djl.basicdataset.tabular.utils.DynamicBuffer: Returns a FloatBuffer that contains all the data.
getCategories() - Method in class ai.djl.basicdataset.cv.CocoMetadata: Returns a list of all categories.
getCategoryId() - Method in class ai.djl.basicdataset.cv.CocoMetadata.Annotation: Returns the category id of this annotation.
getCell(long, String) - Method in class ai.djl.basicdataset.tabular.CsvDataset: Returns a cell in the dataset.
getCell(long, String) - Method in class ai.djl.basicdataset.tabular.MovieLens100k: Returns a cell in the dataset.
getCell(long, String) - Method in class ai.djl.basicdataset.tabular.TabularDataset: Returns a cell in the dataset.
getClasses() - Method in class ai.djl.basicdataset.cv.BananaDetection: Returns the classes that detected objects in the dataset can be classified into.
getClasses() - Method in class ai.djl.basicdataset.cv.classification.AbstractImageFolder: Returns the classes that the images in the dataset are classified into.
getClasses() - Method in class ai.djl.basicdataset.cv.classification.ImageClassificationDataset: Returns the classes that the images in the dataset are classified into.
getClasses() - Method in class ai.djl.basicdataset.cv.CocoDetection: Returns the classes that detected objects in the dataset can be classified into.
getClasses() - Method in class ai.djl.basicdataset.cv.ObjectDetectionDataset: Returns the classes that detected objects in the dataset can be classified into.
getClasses() - Method in class ai.djl.basicdataset.cv.PikachuDetection: Returns the classes that detected objects in the dataset can be classified into.
getClassFull() - Method in class ai.djl.basicdataset.cv.classification.ImageNet: Returns all full class names of this ImageNet dataset.
getClassNames() - Method in class ai.djl.basicdataset.cv.classification.ImageNet: Returns all class names of this ImageNet dataset.
getClassNumber(long) - Method in class ai.djl.basicdataset.cv.classification.AbstractImageFolder: Returns the class of the data item at the given index.
getClassNumber(long) - Method in class ai.djl.basicdataset.cv.classification.ImageClassificationDataset: Returns the class of the data item at the given index.
getCocoUrl() - Method in class ai.djl.basicdataset.cv.CocoMetadata.Image: Returns the url of this image.
getColumnNames() - Method in class ai.djl.basicdataset.tabular.AirfoilRandomAccess: Returns the column names of the CSV file.
getColumnNames() - Method in class ai.djl.basicdataset.tabular.CsvDataset: Returns the column names of the CSV file.
getData() - Method in class ai.djl.basicdataset.nlp.CookingStackExchange
getData() - Method in class ai.djl.basicdataset.nlp.StanfordQuestionAnsweringDataset: Get data from the SQuAD dataset.
getData() - Method in class ai.djl.basicdataset.nlp.WikiText2: Get data from the WikiText2 dataset.
getData(NDManager) - Method in class ai.djl.basicdataset.nlp.CookingStackExchange
getData(NDManager) - Method in class ai.djl.basicdataset.nlp.WikiText2: Fetches an iterator that can iterate through the Dataset.
getDefaultConfiguration() - Static method in class ai.djl.basicdataset.utils.TextData: Returns a good default TextData.Configuration to use for the constructor with defaults.
getEmbedding(NDManager, long) - Method in class ai.djl.basicdataset.utils.TextData: Gets the text embedding for the given index of the text input.
getEpochDayFeaturizer(String) - Static method in class ai.djl.basicdataset.tabular.utils.Featurizers: Constructs an Featurizers.EpochDayFeaturizer for representing dates using the epoch day (number of days since 1970-01-01).
getExpansions() - Method in class ai.djl.basicdataset.tabular.TabularTranslator
getFeature(int) - Method in class ai.djl.basicdataset.tabular.TabularResults: Returns the result for the given feature index.
getFeature(String) - Method in class ai.djl.basicdataset.tabular.TabularResults: Returns the result for the given feature name.
getFeatures() - Method in class ai.djl.basicdataset.tabular.TabularDataset: Returns the dataset features.
getFeatures() - Method in class ai.djl.basicdataset.tabular.TabularTranslator: Returns the features for the translator.
getFeatureSize() - Method in class ai.djl.basicdataset.tabular.TabularDataset: Gets the feature size of current TabularDataset.
getFeaturizer() - Method in class ai.djl.basicdataset.tabular.utils.Feature: Returns the Featurizer.
getHeight() - Method in class ai.djl.basicdataset.cv.CocoMetadata.Image: Returns the height of this image.
getId() - Method in class ai.djl.basicdataset.cv.CocoMetadata.Annotation: Returns the id of this annotation.
getId() - Method in class ai.djl.basicdataset.cv.CocoMetadata.Category: Returns the id of this category.
getId() - Method in class ai.djl.basicdataset.cv.CocoMetadata.Image: Returns the id of this image.
getImage(long) - Method in class ai.djl.basicdataset.cv.BananaDetection: Returns the image at the given index in the dataset.
getImage(long) - Method in class ai.djl.basicdataset.cv.classification.AbstractImageFolder: Returns the image at the given index in the dataset.
getImage(long) - Method in class ai.djl.basicdataset.cv.CocoDetection
getImage(long) - Method in class ai.djl.basicdataset.cv.ImageDataset: Returns the image at the given index in the dataset.
getImage(long) - Method in class ai.djl.basicdataset.cv.PikachuDetection
getImageChannels() - Method in class ai.djl.basicdataset.cv.ImageDataset: Returns the number of channels in the images in the dataset.
getImageHeight() - Method in class ai.djl.basicdataset.cv.BananaDetection: Returns the height of the images in the dataset.
getImageHeight() - Method in class ai.djl.basicdataset.cv.classification.AbstractImageFolder: Returns the height of the images in the dataset.
getImageHeight() - Method in class ai.djl.basicdataset.cv.CocoDetection: Returns the height of the images in the dataset.
getImageHeight() - Method in class ai.djl.basicdataset.cv.ImageDataset: Returns the height of the images in the dataset.
getImageHeight() - Method in class ai.djl.basicdataset.cv.PikachuDetection: Returns the height of the images in the dataset.
getImageId() - Method in class ai.djl.basicdataset.cv.CocoMetadata.Annotation: Returns the id of the image this annotation applies to.
getImageIds() - Method in class ai.djl.basicdataset.cv.CocoUtils: Returns all image ids in the annotation file.
getImagePath(String) - Method in class ai.djl.basicdataset.cv.classification.AbstractImageFolder
getImagePath(String) - Method in class ai.djl.basicdataset.cv.classification.FruitsFreshAndRotten
getImagePath(String) - Method in class ai.djl.basicdataset.cv.classification.ImageFolder
getImagePath(String) - Method in class ai.djl.basicdataset.cv.classification.ImageNet
getImages() - Method in class ai.djl.basicdataset.cv.CocoMetadata: Returns a list of all images.
getImageWidth() - Method in class ai.djl.basicdataset.cv.BananaDetection: Returns the width of the images in the dataset.
getImageWidth() - Method in class ai.djl.basicdataset.cv.classification.AbstractImageFolder: Returns the width of the images in the dataset.
getImageWidth() - Method in class ai.djl.basicdataset.cv.CocoDetection: Returns the width of the images in the dataset.
getImageWidth() - Method in class ai.djl.basicdataset.cv.ImageDataset: Returns the width of the images in the dataset.
getImageWidth() - Method in class ai.djl.basicdataset.cv.PikachuDetection: Returns the width of the images in the dataset.
getIndex() - Method in class ai.djl.basicdataset.nlp.TextDataset.Sample: Returns the sample index.
getLabels() - Method in class ai.djl.basicdataset.tabular.TabularDataset: Returns the dataset labels.
getLabels() - Method in class ai.djl.basicdataset.tabular.TabularTranslator: Returns the labels for the translator.
getLabelSize() - Method in class ai.djl.basicdataset.tabular.TabularDataset: Gets the label size of current TabularDataset.
getLength() - Method in class ai.djl.basicdataset.tabular.utils.DynamicBuffer: Returns the buffer size.
getName() - Method in class ai.djl.basicdataset.tabular.TabularResults.TabularResult: Returns the result (feature) name.
getName() - Method in class ai.djl.basicdataset.tabular.utils.Feature: Returns the feature name.
getNumericFeaturizer() - Static method in class ai.djl.basicdataset.tabular.utils.Featurizers: Returns the default numeric Featurizer.
getNumericFeaturizer(boolean) - Static method in class ai.djl.basicdataset.tabular.utils.Featurizers: Returns the default numeric Featurizer.
getObjects(long) - Method in class ai.djl.basicdataset.cv.BananaDetection: Returns the list of objects in the image at the given index.
getObjects(long) - Method in class ai.djl.basicdataset.cv.CocoDetection: Returns the list of objects in the image at the given index.
getObjects(long) - Method in class ai.djl.basicdataset.cv.ObjectDetectionDataset: Returns the list of objects in the image at the given index.
getObjects(long) - Method in class ai.djl.basicdataset.cv.PikachuDetection: Returns the list of objects in the image at the given index.
getPostprocessorExpansions() - Method in class ai.djl.basicdataset.tabular.TabularTranslatorFactory
getPreprocessorExpansions() - Method in class ai.djl.basicdataset.tabular.TabularTranslatorFactory
getProcessedText(long) - Method in class ai.djl.basicdataset.utils.TextData: Gets the textual input after preprocessing.
getProcessedText(long, boolean) - Method in class ai.djl.basicdataset.nlp.TextDataset: Gets the processed textual input.
getRawText(long) - Method in class ai.djl.basicdataset.utils.TextData: Gets the raw textual input.
getRawText(long, boolean) - Method in class ai.djl.basicdataset.nlp.TextDataset: Gets the raw textual input.
getRecordImage(NDManager, long) - Method in class ai.djl.basicdataset.cv.ImageDataset
getRelativeImagePath(long) - Method in class ai.djl.basicdataset.cv.CocoUtils: Returns the relative path of an image given an image id.
getResult() - Method in class ai.djl.basicdataset.tabular.TabularResults.TabularResult: Returns the computed result.
getRowFeatures(NDManager, long, List<Feature>) - Method in class ai.djl.basicdataset.tabular.TabularDataset: Returns the designated features (either data or label features) from a row.
getSamples() - Method in class ai.djl.basicdataset.nlp.TextDataset: Returns a list of sample information.
getSentenceLength() - Method in class ai.djl.basicdataset.nlp.TextDataset.Sample: Returns the sentence length.
getSize() - Method in class ai.djl.basicdataset.utils.TextData: Returns the size of the data.
getStringFeaturizer() - Static method in class ai.djl.basicdataset.tabular.utils.Featurizers: Returns the default String Featurizer.
getStringFeaturizer(boolean) - Static method in class ai.djl.basicdataset.tabular.utils.Featurizers: Returns the default String Featurizer.
getStringFeaturizer(Map<String, Integer>, boolean) - Static method in class ai.djl.basicdataset.tabular.utils.Featurizers: Returns a new instance of String Featurizer.
getSynset() - Method in class ai.djl.basicdataset.cv.classification.AbstractImageFolder: Returns the synsets of the ImageFolder dataset.
getTextEmbedding() - Method in class ai.djl.basicdataset.utils.TextData: Gets the TextEmbedding used to embed the data with.
getTextEmbedding(boolean) - Method in class ai.djl.basicdataset.nlp.TextDataset: Gets the word embedding used while pre-processing the dataset.
getVocabulary() - Method in class ai.djl.basicdataset.utils.TextData: Gets the DefaultVocabulary built while preprocessing the text data.
getVocabulary(boolean) - Method in class ai.djl.basicdataset.nlp.TextDataset: Gets the DefaultVocabulary built while preprocessing the text data.
getWidth() - Method in class ai.djl.basicdataset.cv.CocoMetadata.Image: Returns the width of this image.
getWordNetIds() - Method in class ai.djl.basicdataset.cv.classification.ImageNet: Returns all WordNet ids of this ImageNet dataset.
GoEmotions - Class in ai.djl.basicdataset.nlp: GoEmotions is a corpus of 58k carefully curated comments extracted from Reddit, with human annotations to 27 emotion categories or Neutral.
GoEmotions.Builder - Class in ai.djl.basicdataset.nlp: A builder to construct a GoEmotions.
GROUP_ID - Static variable in interface ai.djl.basicdataset.BasicDatasets
groupId - Variable in class ai.djl.basicdataset.nlp.TextDataset.Builder

I

Image() - Constructor for class ai.djl.basicdataset.cv.CocoMetadata.Image
IMAGE_HEIGHT - Static variable in class ai.djl.basicdataset.cv.classification.CaptchaDataset
IMAGE_HEIGHT - Static variable in class ai.djl.basicdataset.cv.classification.Cifar10
IMAGE_HEIGHT - Static variable in class ai.djl.basicdataset.cv.classification.FashionMnist
IMAGE_HEIGHT - Static variable in class ai.djl.basicdataset.cv.classification.Mnist
IMAGE_WIDTH - Static variable in class ai.djl.basicdataset.cv.classification.CaptchaDataset
IMAGE_WIDTH - Static variable in class ai.djl.basicdataset.cv.classification.Cifar10
IMAGE_WIDTH - Static variable in class ai.djl.basicdataset.cv.classification.FashionMnist
IMAGE_WIDTH - Static variable in class ai.djl.basicdataset.cv.classification.Mnist
ImageClassificationDataset - Class in ai.djl.basicdataset.cv.classification: A helper to create Datasets for Application.CV.IMAGE_CLASSIFICATION.
ImageClassificationDataset(ImageDataset.BaseBuilder<?>) - Constructor for class ai.djl.basicdataset.cv.classification.ImageClassificationDataset: Creates a new instance of RandomAccessDataset with the given necessary configurations.
ImageDataset - Class in ai.djl.basicdataset.cv: A helper to create a Dataset where the data contains a single image.
ImageDataset(ImageDataset.BaseBuilder<?>) - Constructor for class ai.djl.basicdataset.cv.ImageDataset: Creates a new instance of RandomAccessDataset with the given necessary configurations.
ImageDataset.BaseBuilder<T extends ImageDataset.BaseBuilder<T>> - Class in ai.djl.basicdataset.cv: Used to build an ImageClassificationDataset.
ImageFolder - Class in ai.djl.basicdataset.cv.classification: A dataset for loading image files stored in a folder structure.
ImageFolder.Builder - Class in ai.djl.basicdataset.cv.classification: A builder for the ImageFolder.
ImageFolderBuilder() - Constructor for class ai.djl.basicdataset.cv.classification.AbstractImageFolder.ImageFolderBuilder
ImageNet - Class in ai.djl.basicdataset.cv.classification: ImageNet is an image classification dataset from http://image-net.org 2012 Classification dataset.
ImageNet.Builder - Class in ai.djl.basicdataset.cv.classification: A builder for a ImageNet.
items - Variable in class ai.djl.basicdataset.cv.classification.AbstractImageFolder

L

labels - Variable in class ai.djl.basicdataset.tabular.TabularDataset.BaseBuilder
labels - Variable in class ai.djl.basicdataset.tabular.TabularDataset
ListFeatures - Class in ai.djl.basicdataset.tabular: An extension of the ArrayList for use in the TabularTranslator.
ListFeatures() - Constructor for class ai.djl.basicdataset.tabular.ListFeatures: Constructs a ListFeatures instance.
ListFeatures(int) - Constructor for class ai.djl.basicdataset.tabular.ListFeatures: Constructs a ListFeatures instance.
ListFeatures(Collection<? extends String>) - Constructor for class ai.djl.basicdataset.tabular.ListFeatures: Constructs a ListFeatures instance.
ListFeatures(List<String>) - Constructor for class ai.djl.basicdataset.tabular.ListFeatures: Constructs a ListFeatures instance from a source list.
listImages(Path, List<String>) - Method in class ai.djl.basicdataset.cv.classification.AbstractImageFolder

M

manager - Variable in class ai.djl.basicdataset.nlp.TextDataset
mapCategoryId(long) - Method in class ai.djl.basicdataset.cv.CocoUtils: Returns the continuous category id given an original category id.
MapFeatures - Class in ai.djl.basicdataset.tabular: An extension of the ConcurrentHashMap for use in the TabularTranslator.
MapFeatures() - Constructor for class ai.djl.basicdataset.tabular.MapFeatures: Constructs a MapFeatures instance.
MapFeatures(int) - Constructor for class ai.djl.basicdataset.tabular.MapFeatures: Constructs a MapFeatures instance.
MapFeatures(int, float) - Constructor for class ai.djl.basicdataset.tabular.MapFeatures: Constructs a MapFeatures instance.
MapFeatures(int, float, int) - Constructor for class ai.djl.basicdataset.tabular.MapFeatures: Constructs a MapFeatures.
MapFeatures(Map<? extends String, ? extends String>) - Constructor for class ai.djl.basicdataset.tabular.MapFeatures: Constructs a MapFeatures instance.
matchingTranslatorOptions() - Method in class ai.djl.basicdataset.cv.classification.ImageClassificationDataset
matchingTranslatorOptions() - Method in class ai.djl.basicdataset.tabular.TabularDataset
Mnist - Class in ai.djl.basicdataset.cv.classification: MNIST handwritten digits dataset from http://yann.lecun.com/exdb/mnist.
Mnist.Builder - Class in ai.djl.basicdataset.cv.classification: A builder for a Mnist.
MovieLens100k - Class in ai.djl.basicdataset.tabular: Movielens 100k movie reviews dataset from https://grouplens.org/datasets/movielens/100k/.
MovieLens100k.Builder - Class in ai.djl.basicdataset.tabular: A builder to construct a MovieLens100k.
mrl - Variable in class ai.djl.basicdataset.cv.classification.AbstractImageFolder
mrl - Variable in class ai.djl.basicdataset.nlp.TextDataset

N

noLabels() - Method in class ai.djl.basicdataset.tabular.TabularDataset.BaseBuilder: Indicates the dataset should not have any labels.
NORMALIZE_MEAN - Static variable in class ai.djl.basicdataset.cv.classification.Cifar10
NORMALIZE_STD - Static variable in class ai.djl.basicdataset.cv.classification.Cifar10
NUM_CLASSES - Static variable in class ai.djl.basicdataset.cv.classification.FashionMnist
NUM_CLASSES - Static variable in class ai.djl.basicdataset.cv.classification.Mnist

O

ObjectDetectionDataset - Class in ai.djl.basicdataset.cv: A helper to create Datasets for Application.CV.OBJECT_DETECTION.
ObjectDetectionDataset(ImageDataset.BaseBuilder<?>) - Constructor for class ai.djl.basicdataset.cv.ObjectDetectionDataset: Creates a new instance of ObjectDetectionDataset with the given necessary configurations.
optArtifactId(String) - Method in class ai.djl.basicdataset.cv.BananaDetection.Builder: Sets the optional artifactId.
optArtifactId(String) - Method in class ai.djl.basicdataset.cv.classification.CaptchaDataset.Builder: Sets the optional artifactId.
optArtifactId(String) - Method in class ai.djl.basicdataset.cv.classification.Cifar10.Builder: Sets the optional artifactId.
optArtifactId(String) - Method in class ai.djl.basicdataset.cv.classification.FashionMnist.Builder: Sets the optional artifactId.
optArtifactId(String) - Method in class ai.djl.basicdataset.cv.classification.FruitsFreshAndRotten.Builder: Sets the optional artifactId.
optArtifactId(String) - Method in class ai.djl.basicdataset.cv.classification.Mnist.Builder: Sets the optional artifactId.
optArtifactId(String) - Method in class ai.djl.basicdataset.cv.CocoDetection.Builder: Sets the optional artifactId.
optArtifactId(String) - Method in class ai.djl.basicdataset.cv.PikachuDetection.Builder: Sets the optional artifactId.
optArtifactId(String) - Method in class ai.djl.basicdataset.nlp.AmazonReview.Builder: Sets the optional artifactId.
optArtifactId(String) - Method in class ai.djl.basicdataset.nlp.CookingStackExchange.Builder: Sets the optional artifactId.
optArtifactId(String) - Method in class ai.djl.basicdataset.nlp.TextDataset.Builder: Sets the optional artifactId.
optArtifactId(String) - Method in class ai.djl.basicdataset.nlp.WikiText2.Builder: Sets the optional artifactId.
optArtifactId(String) - Method in class ai.djl.basicdataset.tabular.AirfoilRandomAccess.Builder: Sets the optional artifactId.
optArtifactId(String) - Method in class ai.djl.basicdataset.tabular.AmesRandomAccess.Builder: Sets the optional artifactId.
optArtifactId(String) - Method in class ai.djl.basicdataset.tabular.DailyDelhiClimate.Builder: Sets the optional artifactId.
optArtifactId(String) - Method in class ai.djl.basicdataset.tabular.MovieLens100k.Builder: Sets the optional artifactId.
optCsvFile(Path) - Method in class ai.djl.basicdataset.tabular.CsvDataset.CsvBuilder: Sets the optional CSV file path.
optCsvUrl(String) - Method in class ai.djl.basicdataset.tabular.CsvDataset.CsvBuilder: Sets the optional CSV file URL.
optDatasetName(String) - Method in class ai.djl.basicdataset.nlp.AmazonReview.Builder: Sets the name of the subset of Amazon Reviews.
optFlag(Image.Flag) - Method in class ai.djl.basicdataset.cv.ImageDataset.BaseBuilder: Sets the optional color mode flag.
optGroupId(String) - Method in class ai.djl.basicdataset.cv.BananaDetection.Builder: Sets optional groupId.
optGroupId(String) - Method in class ai.djl.basicdataset.cv.classification.CaptchaDataset.Builder: Sets optional groupId.
optGroupId(String) - Method in class ai.djl.basicdataset.cv.classification.Cifar10.Builder: Sets optional groupId.
optGroupId(String) - Method in class ai.djl.basicdataset.cv.classification.FashionMnist.Builder: Sets optional groupId.
optGroupId(String) - Method in class ai.djl.basicdataset.cv.classification.FruitsFreshAndRotten.Builder: Sets optional groupId.
optGroupId(String) - Method in class ai.djl.basicdataset.cv.classification.Mnist.Builder: Sets optional groupId.
optGroupId(String) - Method in class ai.djl.basicdataset.cv.CocoDetection.Builder: Sets optional groupId.
optGroupId(String) - Method in class ai.djl.basicdataset.cv.PikachuDetection.Builder: Sets optional groupId.
optGroupId(String) - Method in class ai.djl.basicdataset.nlp.AmazonReview.Builder: Sets optional groupId.
optGroupId(String) - Method in class ai.djl.basicdataset.nlp.CookingStackExchange.Builder: Sets optional groupId.
optGroupId(String) - Method in class ai.djl.basicdataset.nlp.TextDataset.Builder: Sets optional groupId.
optGroupId(String) - Method in class ai.djl.basicdataset.nlp.WikiText2.Builder: Sets optional groupId.
optGroupId(String) - Method in class ai.djl.basicdataset.tabular.AirfoilRandomAccess.Builder: Sets optional groupId.
optGroupId(String) - Method in class ai.djl.basicdataset.tabular.AmesRandomAccess.Builder: Sets optional groupId.
optGroupId(String) - Method in class ai.djl.basicdataset.tabular.DailyDelhiClimate.Builder: Sets optional groupId.
optGroupId(String) - Method in class ai.djl.basicdataset.tabular.MovieLens100k.Builder: Sets optional groupId.
optImageHeight(int) - Method in class ai.djl.basicdataset.cv.classification.AbstractImageFolder.ImageFolderBuilder: Sets the height of the images.
optImageSize(int) - Method in class ai.djl.basicdataset.cv.classification.AbstractImageFolder.ImageFolderBuilder: Sets the size of the images.
optImageWidth(int) - Method in class ai.djl.basicdataset.cv.classification.AbstractImageFolder.ImageFolderBuilder: Sets the width of the images.
optManager(NDManager) - Method in class ai.djl.basicdataset.cv.classification.Cifar10.Builder: Sets the optional manager for the dataset (default follows engine default).
optManager(NDManager) - Method in class ai.djl.basicdataset.cv.classification.FashionMnist.Builder: Sets the optional manager for the dataset (default follows engine default).
optManager(NDManager) - Method in class ai.djl.basicdataset.cv.classification.Mnist.Builder: Sets the optional manager for the dataset (default follows engine default).
optManager(NDManager) - Method in class ai.djl.basicdataset.nlp.TextDataset.Builder: Sets the optional manager for the dataset (default follows engine default).
optMaxDepth(int) - Method in class ai.djl.basicdataset.cv.classification.AbstractImageFolder.ImageFolderBuilder: Sets the depth of the image folder.
optNormalize(boolean) - Method in class ai.djl.basicdataset.tabular.AirfoilRandomAccess.Builder: Sets if normalize the dataset.
optRepository(Repository) - Method in class ai.djl.basicdataset.cv.BananaDetection.Builder: Sets the optional repository.
optRepository(Repository) - Method in class ai.djl.basicdataset.cv.classification.CaptchaDataset.Builder: Sets the optional repository.
optRepository(Repository) - Method in class ai.djl.basicdataset.cv.classification.Cifar10.Builder: Sets the optional repository for the dataset.
optRepository(Repository) - Method in class ai.djl.basicdataset.cv.classification.FashionMnist.Builder: Sets the optional repository.
optRepository(Repository) - Method in class ai.djl.basicdataset.cv.classification.FruitsFreshAndRotten.Builder: Sets the optional repository.
optRepository(Repository) - Method in class ai.djl.basicdataset.cv.classification.Mnist.Builder: Sets the optional repository.
optRepository(Repository) - Method in class ai.djl.basicdataset.cv.CocoDetection.Builder: Sets the optional repository.
optRepository(Repository) - Method in class ai.djl.basicdataset.cv.PikachuDetection.Builder: Sets the optional repository.
optRepository(Repository) - Method in class ai.djl.basicdataset.nlp.AmazonReview.Builder: Sets the optional repository.
optRepository(Repository) - Method in class ai.djl.basicdataset.nlp.CookingStackExchange.Builder: Sets the optional repository for the dataset.
optRepository(Repository) - Method in class ai.djl.basicdataset.nlp.TextDataset.Builder: Sets the optional repository.
optRepository(Repository) - Method in class ai.djl.basicdataset.nlp.WikiText2.Builder: Sets the optional repository for the dataset.
optRepository(Repository) - Method in class ai.djl.basicdataset.tabular.AirfoilRandomAccess.Builder: Sets the optional repository.
optRepository(Repository) - Method in class ai.djl.basicdataset.tabular.AmesRandomAccess.Builder: Sets the optional repository.
optRepository(Repository) - Method in class ai.djl.basicdataset.tabular.DailyDelhiClimate.Builder: Sets the optional repository.
optRepository(Repository) - Method in class ai.djl.basicdataset.tabular.MovieLens100k.Builder: Sets the optional repository.
optUsage(Dataset.Usage) - Method in class ai.djl.basicdataset.cv.BananaDetection.Builder: Sets the optional usage.
optUsage(Dataset.Usage) - Method in class ai.djl.basicdataset.cv.classification.CaptchaDataset.Builder: Sets the optional usage.
optUsage(Dataset.Usage) - Method in class ai.djl.basicdataset.cv.classification.Cifar10.Builder: Sets the optional usage for the dataset.
optUsage(Dataset.Usage) - Method in class ai.djl.basicdataset.cv.classification.FashionMnist.Builder: Sets the optional usage.
optUsage(Dataset.Usage) - Method in class ai.djl.basicdataset.cv.classification.FruitsFreshAndRotten.Builder: Sets the optional usage.
optUsage(Dataset.Usage) - Method in class ai.djl.basicdataset.cv.classification.ImageNet.Builder: Sets the optional usage.
optUsage(Dataset.Usage) - Method in class ai.djl.basicdataset.cv.classification.Mnist.Builder: Sets the optional usage.
optUsage(Dataset.Usage) - Method in class ai.djl.basicdataset.cv.CocoDetection.Builder: Sets the optional usage.
optUsage(Dataset.Usage) - Method in class ai.djl.basicdataset.cv.PikachuDetection.Builder: Sets the optional usage.
optUsage(Dataset.Usage) - Method in class ai.djl.basicdataset.nlp.CookingStackExchange.Builder: Sets the optional usage for the dataset.
optUsage(Dataset.Usage) - Method in class ai.djl.basicdataset.nlp.TextDataset.Builder: Sets the optional usage.
optUsage(Dataset.Usage) - Method in class ai.djl.basicdataset.nlp.WikiText2.Builder: Sets the optional usage for the dataset.
optUsage(Dataset.Usage) - Method in class ai.djl.basicdataset.tabular.AirfoilRandomAccess.Builder: Sets the optional usage.
optUsage(Dataset.Usage) - Method in class ai.djl.basicdataset.tabular.AmesRandomAccess.Builder: Sets the optional usage.
optUsage(Dataset.Usage) - Method in class ai.djl.basicdataset.tabular.DailyDelhiClimate.Builder: Sets the optional usage.
optUsage(Dataset.Usage) - Method in class ai.djl.basicdataset.tabular.MovieLens100k.Builder: Sets the optional usage.

P

PennTreebankText - Class in ai.djl.basicdataset.nlp: The Penn Treebank (PTB) project selected 2,499 stories from a three year Wall Street Journal (WSJ) collection of 98,732 stories for syntactic annotation (see here for details).
PennTreebankText.Builder - Class in ai.djl.basicdataset.nlp: A builder to construct a PennTreebankText .
PikachuDetection - Class in ai.djl.basicdataset.cv: Pikachu image detection dataset that contains multiple Pikachus in each image.
PikachuDetection(PikachuDetection.Builder) - Constructor for class ai.djl.basicdataset.cv.PikachuDetection
PikachuDetection.Builder - Class in ai.djl.basicdataset.cv: A builder for a PikachuDetection.
prepare() - Method in class ai.djl.basicdataset.cv.CocoUtils: Prepares and indexes the annotation file in memory.
prepare(Progress) - Method in class ai.djl.basicdataset.cv.BananaDetection
prepare(Progress) - Method in class ai.djl.basicdataset.cv.classification.CaptchaDataset
prepare(Progress) - Method in class ai.djl.basicdataset.cv.classification.Cifar10
prepare(Progress) - Method in class ai.djl.basicdataset.cv.classification.FashionMnist
prepare(Progress) - Method in class ai.djl.basicdataset.cv.classification.FruitsFreshAndRotten
prepare(Progress) - Method in class ai.djl.basicdataset.cv.classification.ImageFolder
prepare(Progress) - Method in class ai.djl.basicdataset.cv.classification.ImageNet
prepare(Progress) - Method in class ai.djl.basicdataset.cv.classification.Mnist
prepare(Progress) - Method in class ai.djl.basicdataset.cv.CocoDetection
prepare(Progress) - Method in class ai.djl.basicdataset.cv.PikachuDetection
prepare(Progress) - Method in class ai.djl.basicdataset.nlp.AmazonReview
prepare(Progress) - Method in class ai.djl.basicdataset.nlp.CookingStackExchange
prepare(Progress) - Method in class ai.djl.basicdataset.nlp.GoEmotions: Prepares the dataset for use with tracked progress.
prepare(Progress) - Method in class ai.djl.basicdataset.nlp.PennTreebankText: Prepares the dataset for use with tracked progress.
prepare(Progress) - Method in class ai.djl.basicdataset.nlp.StanfordMovieReview
prepare(Progress) - Method in class ai.djl.basicdataset.nlp.StanfordQuestionAnsweringDataset: Prepares the dataset for use with tracked progress.
prepare(Progress) - Method in class ai.djl.basicdataset.nlp.TatoebaEnglishFrenchDataset
prepare(Progress) - Method in class ai.djl.basicdataset.nlp.UniversalDependenciesEnglishEWT: Prepares the dataset for use with tracked progress.
prepare(Progress) - Method in class ai.djl.basicdataset.nlp.WikiText2: Prepares the dataset for use with tracked progress.
prepare(Progress) - Method in class ai.djl.basicdataset.tabular.AirfoilRandomAccess
prepare(Progress) - Method in class ai.djl.basicdataset.tabular.AmesRandomAccess
prepare(Progress) - Method in class ai.djl.basicdataset.tabular.CsvDataset
prepare(Progress) - Method in class ai.djl.basicdataset.tabular.DailyDelhiClimate
prepare(Progress) - Method in class ai.djl.basicdataset.tabular.MovieLens100k
prepare(List<String>) - Method in interface ai.djl.basicdataset.tabular.utils.PreparedFeaturizer: Prepares the featurizer with the list of possible inputs.
prepared - Variable in class ai.djl.basicdataset.cv.classification.AbstractImageFolder
prepared - Variable in class ai.djl.basicdataset.nlp.TextDataset
PreparedFeaturizer - Interface in ai.djl.basicdataset.tabular.utils: A Featurizer that must be prepared with the possible feature values before use.
prepareFeaturizers() - Method in class ai.djl.basicdataset.tabular.TabularDataset: Prepares the PreparedFeaturizers.
preprocess(NDManager, List<String>) - Method in class ai.djl.basicdataset.utils.TextData: Preprocess the textData into NDArray by providing the data from the dataset.
preprocess(List<String>, boolean) - Method in class ai.djl.basicdataset.nlp.StanfordQuestionAnsweringDataset: Performs pre-processing steps on text data such as tokenising, applying TextProcessors, creating vocabulary, and word embeddings.
preprocess(List<String>, boolean) - Method in class ai.djl.basicdataset.nlp.TextDataset: Performs pre-processing steps on text data such as tokenising, applying TextProcessors, creating vocabulary, and word embeddings.
processInput(TranslatorContext, ListFeatures) - Method in class ai.djl.basicdataset.tabular.TabularTranslator
processOutput(TranslatorContext, NDList) - Method in class ai.djl.basicdataset.tabular.TabularTranslator
put(float) - Method in class ai.djl.basicdataset.tabular.utils.DynamicBuffer: Writes the given float into this buffer at the current position.

R

repository - Variable in class ai.djl.basicdataset.nlp.TextDataset.Builder
REPOSITORY - Static variable in interface ai.djl.basicdataset.BasicDatasets

S

sample(RandomAccessDataset) - Method in class ai.djl.basicdataset.utils.FixedBucketSampler
Sample(int, int) - Constructor for class ai.djl.basicdataset.nlp.TextDataset.Sample: Constructs a new Sample instance.
samples - Variable in class ai.djl.basicdataset.nlp.TextDataset
self() - Method in class ai.djl.basicdataset.cv.BananaDetection.Builder
self() - Method in class ai.djl.basicdataset.cv.classification.CaptchaDataset.Builder
self() - Method in class ai.djl.basicdataset.cv.classification.Cifar10.Builder
self() - Method in class ai.djl.basicdataset.cv.classification.FashionMnist.Builder
self() - Method in class ai.djl.basicdataset.cv.classification.FruitsFreshAndRotten.Builder
self() - Method in class ai.djl.basicdataset.cv.classification.ImageFolder.Builder
self() - Method in class ai.djl.basicdataset.cv.classification.ImageNet.Builder
self() - Method in class ai.djl.basicdataset.cv.classification.Mnist.Builder
self() - Method in class ai.djl.basicdataset.cv.CocoDetection.Builder
self() - Method in class ai.djl.basicdataset.cv.PikachuDetection.Builder
self() - Method in class ai.djl.basicdataset.nlp.AmazonReview.Builder
self() - Method in class ai.djl.basicdataset.nlp.GoEmotions.Builder
self() - Method in class ai.djl.basicdataset.nlp.PennTreebankText.Builder
self() - Method in class ai.djl.basicdataset.nlp.StanfordMovieReview.Builder
self() - Method in class ai.djl.basicdataset.nlp.StanfordQuestionAnsweringDataset.Builder: Returns this StanfordQuestionAnsweringDataset.Builder object.
self() - Method in class ai.djl.basicdataset.nlp.TatoebaEnglishFrenchDataset.Builder
self() - Method in class ai.djl.basicdataset.nlp.UniversalDependenciesEnglishEWT.Builder
self() - Method in class ai.djl.basicdataset.tabular.AirfoilRandomAccess.Builder
self() - Method in class ai.djl.basicdataset.tabular.AmesRandomAccess.Builder
self() - Method in class ai.djl.basicdataset.tabular.CsvDataset.CsvBuilder
self() - Method in class ai.djl.basicdataset.tabular.DailyDelhiClimate.Builder: Returns this {code Builder} object.
self() - Method in class ai.djl.basicdataset.tabular.MovieLens100k.Builder
setCsvFormat(CSVFormat) - Method in class ai.djl.basicdataset.tabular.CsvDataset.CsvBuilder: Sets the CSV file format.
setEmbeddingSize(int) - Method in class ai.djl.basicdataset.utils.TextData.Configuration: Sets the size for new TextEmbeddings.
setEmbeddingSize(int) - Method in class ai.djl.basicdataset.utils.TextData: Sets the embedding size.
setRepository(Repository) - Method in class ai.djl.basicdataset.cv.classification.AbstractImageFolder.ImageFolderBuilder: Sets the repository containing the image folder.
setRepositoryPath(String) - Method in class ai.djl.basicdataset.cv.classification.AbstractImageFolder.ImageFolderBuilder: Sets the repository file path containing the image folder.
setRepositoryPath(Path) - Method in class ai.djl.basicdataset.cv.classification.AbstractImageFolder.ImageFolderBuilder: Sets the repository file path containing the image folder.
setReservedTokens(List<String>) - Method in class ai.djl.basicdataset.utils.TextData.Configuration: Sets the list of reserved tokens.
setSourceConfiguration(TextData.Configuration) - Method in class ai.djl.basicdataset.nlp.TextDataset.Builder: Sets the TextData.Configuration to use for the source text data.
setTargetConfiguration(TextData.Configuration) - Method in class ai.djl.basicdataset.nlp.TextDataset.Builder: Sets the TextData.Configuration to use for the target text data.
setTextEmbedding(TextEmbedding) - Method in class ai.djl.basicdataset.utils.TextData.Configuration: Sets the TextEmbedding to use to embed the text data.
setTextEmbedding(TextEmbedding) - Method in class ai.djl.basicdataset.utils.TextData: Sets the textEmbedding to embed the data with.
setTextProcessors(List<TextProcessor>) - Method in class ai.djl.basicdataset.utils.TextData.Configuration: Sets the TextProcessors to use for the text data.
setTextProcessors(List<TextProcessor>) - Method in class ai.djl.basicdataset.utils.TextData: Sets the text processors.
setUnknownToken(String) - Method in class ai.djl.basicdataset.utils.TextData.Configuration: Sets the default unknown token.
setVocabulary(Vocabulary) - Method in class ai.djl.basicdataset.utils.TextData.Configuration: Sets the Vocabulary to use to hold the text data.
size() - Method in class ai.djl.basicdataset.tabular.TabularResults: Returns the number of results.
sourceTextData - Variable in class ai.djl.basicdataset.nlp.TextDataset
StanfordMovieReview - Class in ai.djl.basicdataset.nlp: The StanfordMovieReview dataset contains a Application.NLP.SENTIMENT_ANALYSIS set of movie reviews and their sentiment ratings.
StanfordMovieReview(StanfordMovieReview.Builder) - Constructor for class ai.djl.basicdataset.nlp.StanfordMovieReview: Creates a new instance of StanfordMovieReview with the given necessary configurations.
StanfordMovieReview.Builder - Class in ai.djl.basicdataset.nlp: A builder for a StanfordMovieReview.
StanfordQuestionAnsweringDataset - Class in ai.djl.basicdataset.nlp: Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.
StanfordQuestionAnsweringDataset(StanfordQuestionAnsweringDataset.Builder) - Constructor for class ai.djl.basicdataset.nlp.StanfordQuestionAnsweringDataset: Creates a new instance of StanfordQuestionAnsweringDataset.
StanfordQuestionAnsweringDataset.Builder - Class in ai.djl.basicdataset.nlp: A builder for a StanfordQuestionAnsweringDataset.
synset - Variable in class ai.djl.basicdataset.cv.classification.AbstractImageFolder

T

TabularDataset - Class in ai.djl.basicdataset.tabular: A abstract class for creating tabular datasets.
TabularDataset(TabularDataset.BaseBuilder<?>) - Constructor for class ai.djl.basicdataset.tabular.TabularDataset: Creates a new instance of RandomAccessDataset with the given necessary configurations.
TabularDataset.BaseBuilder<T extends TabularDataset.BaseBuilder<T>> - Class in ai.djl.basicdataset.tabular: Used to build a TabularDataset.
TabularResult(String, Object) - Constructor for class ai.djl.basicdataset.tabular.TabularResults.TabularResult: Constructs the result.
TabularResults - Class in ai.djl.basicdataset.tabular: A list of results from running a tabular model.
TabularResults(List<TabularResults.TabularResult>) - Constructor for class ai.djl.basicdataset.tabular.TabularResults: Constructs a TabularResults with the given results.
TabularResults.TabularResult - Class in ai.djl.basicdataset.tabular: A single result corresponding to a single feature.
TabularTranslator - Class in ai.djl.basicdataset.tabular: A Translator that can be used for Application.Tabular tasks.
TabularTranslator(Model, Map<String, ?>) - Constructor for class ai.djl.basicdataset.tabular.TabularTranslator: Constructs a tabular translator for a model.
TabularTranslator(List<Feature>, List<Feature>) - Constructor for class ai.djl.basicdataset.tabular.TabularTranslator: Constructs a TabularTranslator with the given features and labels.
TabularTranslatorFactory - Class in ai.djl.basicdataset.tabular: A TranslatorFactory to extend the TabularTranslator.
TabularTranslatorFactory() - Constructor for class ai.djl.basicdataset.tabular.TabularTranslatorFactory
targetTextData - Variable in class ai.djl.basicdataset.nlp.TextDataset
TatoebaEnglishFrenchDataset - Class in ai.djl.basicdataset.nlp: TatoebaEnglishFrenchDataset is a English-French machine translation dataset from The Tatoeba Project (http://www.manythings.org/anki/).
TatoebaEnglishFrenchDataset(TatoebaEnglishFrenchDataset.Builder) - Constructor for class ai.djl.basicdataset.nlp.TatoebaEnglishFrenchDataset: Creates a new instance of TatoebaEnglishFrenchDataset.
TatoebaEnglishFrenchDataset.Builder - Class in ai.djl.basicdataset.nlp: A builder for a TatoebaEnglishFrenchDataset.
TextData - Class in ai.djl.basicdataset.utils: TextData is a utility for managing textual data within a Dataset.
TextData(TextData.Configuration) - Constructor for class ai.djl.basicdataset.utils.TextData: Constructs a new TextData.
TextData.Configuration - Class in ai.djl.basicdataset.utils: The configuration for creating a TextData value in a Dataset.
TextDataset - Class in ai.djl.basicdataset.nlp: TextDataset is an abstract dataset that can be used for datasets for natural language processing where either the source or target are text-based data.
TextDataset(TextDataset.Builder<?>) - Constructor for class ai.djl.basicdataset.nlp.TextDataset: Creates a new instance of RandomAccessDataset with the given necessary configurations.
TextDataset.Builder<T extends TextDataset.Builder<T>> - Class in ai.djl.basicdataset.nlp: Abstract Builder that helps build a TextDataset.
TextDataset.Sample - Class in ai.djl.basicdataset.nlp: A class stores TextDataset sample information.
ThrowingFunction<T,R,E extends java.lang.Exception> - Interface in ai.djl.basicdataset.utils: Represents a function that accepts one argument, produces a result, and throws an Exception.

U

UniversalDependenciesEnglishEWT - Class in ai.djl.basicdataset.nlp: A Gold Standard Universal Dependencies Corpus for English, built over the source material of the English Web Treebank LDC2012T13.
UniversalDependenciesEnglishEWT(UniversalDependenciesEnglishEWT.Builder) - Constructor for class ai.djl.basicdataset.nlp.UniversalDependenciesEnglishEWT: Creates a new instance of UniversalDependenciesEnglish.
UniversalDependenciesEnglishEWT.Builder - Class in ai.djl.basicdataset.nlp: A builder for a UniversalDependenciesEnglishEWT.
update(TextData.Configuration) - Method in class ai.djl.basicdataset.utils.TextData.Configuration: Updates this TextData.Configuration with the non-null values from another configuration.
usage - Variable in class ai.djl.basicdataset.nlp.TextDataset.Builder
usage - Variable in class ai.djl.basicdataset.nlp.TextDataset

W

WikiText2 - Class in ai.djl.basicdataset.nlp: The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified Good and Featured articles on Wikipedia.
WikiText2.Builder - Class in ai.djl.basicdataset.nlp: A builder to construct a WikiText2 .

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