Index (deeplearning4j-datasets 1.0.0-beta6 API)

B C D E F G I L M N O P R S T U V W

B

batch - Variable in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
binarize - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher

C

CacheableExtractableDataSetFetcher - Class in org.deeplearning4j.datasets.fetchers: Abstract class for enabling dataset downloading and local caching.
CacheableExtractableDataSetFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
CHECKSUM_TEST_FEATURES - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
CHECKSUM_TEST_LABELS - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
CHECKSUM_TRAIN_FEATURES - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
CHECKSUM_TRAIN_LABELS - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
CHECKSUMS_TEST - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
CHECKSUMS_TRAIN - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
Cifar10DataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl: CifarDataSetIterator is an iterator for CIFAR-10 dataset - 10 classes, with 32x32 images with 3 channels (RGB) This fetcher uses a cached version of the CIFAR dataset which is converted to PNG images, see: https://pjreddie.com/projects/cifar-10-dataset-mirror/.
Cifar10DataSetIterator(int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.Cifar10DataSetIterator: Create an iterator for the training set, with random iteration order (RNG seed fixed to 123)
Cifar10DataSetIterator(int, DataSetType) - Constructor for class org.deeplearning4j.datasets.iterator.impl.Cifar10DataSetIterator: * Create an iterator for the training or test set, with random iteration order (RNG seed fixed to 123)
Cifar10DataSetIterator(int, int[], DataSetType) - Constructor for class org.deeplearning4j.datasets.iterator.impl.Cifar10DataSetIterator: Get the Tiny ImageNet iterator with specified train/test set, with random iteration order (RNG seed fixed to 123)
Cifar10DataSetIterator(int, int[], DataSetType, ImageTransform, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.Cifar10DataSetIterator: Get the Tiny ImageNet iterator with specified train/test set and (optional) custom transform.
Cifar10Fetcher - Class in org.deeplearning4j.datasets.fetchers: CifarDataSetIterator is an iterator for CIFAR-10 dataset - 10 classes, with 32x32 images with 3 channels (RGB) This fetcher uses a cached version of the CIFAR dataset which is converted to PNG images, see: https://pjreddie.com/projects/cifar-10-dataset-mirror/.
Cifar10Fetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
close() - Method in class org.deeplearning4j.datasets.mnist.MnistManager: Close any resources opened by the manager.

D

dataSet - Variable in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
dataSetName(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
dataSetName(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
DataSetType - Enum in org.deeplearning4j.datasets.fetchers: Specify whether train, test, or validation.
deleteIfEmpty(File) - Static method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
downloadAndExtract() - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
downloadAndExtract(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher: Downloads and extracts the local dataset.
downloadAndUntar() - Method in class org.deeplearning4j.base.MnistFetcher

E

EmnistDataFetcher - Class in org.deeplearning4j.datasets.fetchers: Data fetcher for the EMNIST dataset
EmnistDataFetcher(EmnistDataSetIterator.Set, boolean, boolean, boolean, long) - Constructor for class org.deeplearning4j.datasets.fetchers.EmnistDataFetcher
EmnistDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl: EMNIST DataSetIterator
EMNIST is similar to the common MNIST dataset (available via MnistDataSetIterator), with 6 different splits/ variants, specified by EmnistDataSetIterator.Set:
COMPLETE: Also known as 'ByClass' split.
EmnistDataSetIterator(EmnistDataSetIterator.Set, int, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Create an EMNIST iterator with randomly shuffled data based on a random RNG seed
EmnistDataSetIterator(EmnistDataSetIterator.Set, int, boolean, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Create an EMNIST iterator with randomly shuffled data based on a specified RNG seed
EmnistDataSetIterator(EmnistDataSetIterator.Set, int, boolean, boolean, boolean, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Get the specified number of MNIST examples (test or train set), with optional shuffling and binarization.
EmnistDataSetIterator.Set - Enum in org.deeplearning4j.datasets.iterator.impl: EMNIST dataset has multiple different subsets.
EmnistFetcher - Class in org.deeplearning4j.base: Downloader for EMNIST dataset
EmnistFetcher(EmnistDataSetIterator.Set) - Constructor for class org.deeplearning4j.base.EmnistFetcher
expectedChecksum() - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
expectedChecksum(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
expectedChecksum(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
expectedChecksum(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
expectedChecksum() - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
expectedChecksum(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher

F

fetch(int) - Method in class org.deeplearning4j.datasets.fetchers.IrisDataFetcher
fetch(int) - Method in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
fetcher - Variable in class org.deeplearning4j.datasets.fetchers.EmnistDataFetcher
firstShuffle - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
fOrder - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher

G

getBaseDir() - Method in class org.deeplearning4j.base.MnistFetcher
getCols() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile: Number of columns per image.
getCount() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile
getCurrentIndex() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile: The current entry index.
getDataSetPath(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
getEntryLength() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile: Number of bytes for each entry.
getEntryLength() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
getHeaderSize() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile
getHeaderSize() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
getImages() - Method in class org.deeplearning4j.datasets.mnist.MnistManager: Get the underlying images file as MnistImageFile.
getLabels(boolean) - Static method in class org.deeplearning4j.datasets.iterator.impl.Cifar10DataSetIterator: Get the labels - either in "categories" (imagenet synsets format, "n01910747" or similar) or human-readable format, such as "jellyfish"
getLabels() - Method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Get the labels as a List
getLabels(EmnistDataSetIterator.Set) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Get the label assignments for the given set as a List
getLabels(boolean) - Static method in class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator: Get the labels - either in "categories" (imagenet synsets format, "n01910747" or similar) or human-readable format, such as "jellyfish"
getLabels() - Method in class org.deeplearning4j.datasets.mnist.MnistManager: Get the underlying labels file as MnistLabelFile.
getLabelsArray(EmnistDataSetIterator.Set) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Get the label assignments for the given set as a character array.
getLabelsArrays() - Method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Get the labels as a character array
getLocalCacheDir() - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
getMagicNumber() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile: MNIST DB files start with unique integer number.
getMagicNumber() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
getMagicNumber() - Method in class org.deeplearning4j.datasets.mnist.MnistLabelFile
getName() - Method in class org.deeplearning4j.base.EmnistFetcher
getName() - Method in class org.deeplearning4j.base.MnistFetcher
getRecordReader(long, int[], DataSetType, ImageTransform) - Method in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
getRecordReader(long, int[], DataSetType, ImageTransform) - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
getRecordReader(long, int[], DataSetType, ImageTransform) - Method in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
getRecordReader(long, int[], DataSetType, ImageTransform) - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
getRecordReader(long, DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
getRows() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile: Number of rows per image.
getTestFileLabelsFilename() - Method in class org.deeplearning4j.base.EmnistFetcher
getTestFileLabelsFilename() - Method in class org.deeplearning4j.base.MnistFetcher
getTestFileLabelsFilename_unzipped() - Method in class org.deeplearning4j.base.EmnistFetcher
getTestFileLabelsFilename_unzipped() - Method in class org.deeplearning4j.base.MnistFetcher
getTestFileLabelsMD5() - Method in class org.deeplearning4j.base.EmnistFetcher
getTestFileLabelsMD5() - Method in class org.deeplearning4j.base.MnistFetcher
getTestFileLabelsURL() - Method in class org.deeplearning4j.base.EmnistFetcher
getTestFileLabelsURL() - Method in class org.deeplearning4j.base.MnistFetcher
getTestFilesFilename() - Method in class org.deeplearning4j.base.EmnistFetcher
getTestFilesFilename() - Method in class org.deeplearning4j.base.MnistFetcher
getTestFilesFilename_unzipped() - Method in class org.deeplearning4j.base.EmnistFetcher
getTestFilesFilename_unzipped() - Method in class org.deeplearning4j.base.MnistFetcher
getTestFilesMD5() - Method in class org.deeplearning4j.base.EmnistFetcher
getTestFilesMD5() - Method in class org.deeplearning4j.base.MnistFetcher
getTestFilesURL() - Method in class org.deeplearning4j.base.EmnistFetcher
getTestFilesURL() - Method in class org.deeplearning4j.base.MnistFetcher
getTrainingFileLabelsFilename() - Method in class org.deeplearning4j.base.EmnistFetcher
getTrainingFileLabelsFilename() - Method in class org.deeplearning4j.base.MnistFetcher
getTrainingFileLabelsFilename_unzipped() - Method in class org.deeplearning4j.base.EmnistFetcher
getTrainingFileLabelsFilename_unzipped() - Method in class org.deeplearning4j.base.MnistFetcher
getTrainingFileLabelsMD5() - Method in class org.deeplearning4j.base.EmnistFetcher
getTrainingFileLabelsMD5() - Method in class org.deeplearning4j.base.MnistFetcher
getTrainingFileLabelsURL() - Method in class org.deeplearning4j.base.EmnistFetcher
getTrainingFileLabelsURL() - Method in class org.deeplearning4j.base.MnistFetcher
getTrainingFilesFilename() - Method in class org.deeplearning4j.base.EmnistFetcher
getTrainingFilesFilename() - Method in class org.deeplearning4j.base.MnistFetcher
getTrainingFilesFilename_unzipped() - Method in class org.deeplearning4j.base.EmnistFetcher
getTrainingFilesFilename_unzipped() - Method in class org.deeplearning4j.base.MnistFetcher
getTrainingFilesMD5() - Method in class org.deeplearning4j.base.EmnistFetcher
getTrainingFilesMD5() - Method in class org.deeplearning4j.base.MnistFetcher
getTrainingFilesURL() - Method in class org.deeplearning4j.base.EmnistFetcher
getTrainingFilesURL() - Method in class org.deeplearning4j.base.MnistFetcher

I

INPUT_CHANNELS - Static variable in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
INPUT_CHANNELS - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
INPUT_HEIGHT - Static variable in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
INPUT_HEIGHT - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
INPUT_WIDTH - Static variable in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
INPUT_WIDTH - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
IrisDataFetcher - Class in org.deeplearning4j.datasets.fetchers
IrisDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.IrisDataFetcher
IrisDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl: IrisDataSetIterator: An iterator for the well-known Iris dataset.
IrisDataSetIterator() - Constructor for class org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator: Create an iris iterator for full batch training - i.e., all 150 examples are included per minibatch
IrisDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator: IrisDataSetIterator handles traversing through the Iris Data Set.
IrisUtils - Class in org.deeplearning4j.base
isBalanced(EmnistDataSetIterator.Set) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Are the labels balanced in the training set (that is: are the number of examples for each label equal?)
isCached() - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher: Returns a boolean indicating if the dataset is already cached locally.

L

LABELS_FILENAME - Static variable in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
LFWDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl: LFW iterator - Labeled Faces from the Wild dataset
See http://vis-www.cs.umass.edu/lfw/
13233 images total, with 5749 classes.
LFWDataSetIterator(int[]) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Loads subset of images with given imgDim returned by the generator.
LFWDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Loads images with given batchSize, numExamples returned by the generator.
LFWDataSetIterator(int, int, int[]) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Loads images with given batchSize, numExamples, imgDim returned by the generator.
LFWDataSetIterator(int, int[], boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Loads images with given batchSize, imgDim, useSubset, returned by the generator.
LFWDataSetIterator(int, int, int[], boolean, double) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Loads images with given batchSize, numExamples, imgDim, train, & splitTrainTest returned by the generator.
LFWDataSetIterator(int, int, int, boolean, double) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Loads images with given batchSize, numExamples, numLabels, train, & splitTrainTest returned by the generator.
LFWDataSetIterator(int, int, int[], int, boolean, boolean, double, Random) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Loads images with given batchSize, numExamples, imgDim, numLabels, useSubset, train, splitTrainTest & Random returned by the generator.
LFWDataSetIterator(int, int, int[], int, boolean, PathLabelGenerator, boolean, double, Random) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Loads images with given batchSize, numExamples, imgDim, numLabels, useSubset, train, splitTrainTest & Random returned by the generator.
LFWDataSetIterator(int, int, int[], int, boolean, PathLabelGenerator, boolean, double, ImageTransform, Random) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Create LFW data specific iterator
loadIris(int, int) - Static method in class org.deeplearning4j.base.IrisUtils
LOCAL_CACHE_NAME - Static variable in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
LOCAL_CACHE_NAME - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
LOCAL_DIR_NAME - Static variable in class org.deeplearning4j.base.MnistFetcher
localCacheName() - Method in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
localCacheName() - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
localCacheName() - Method in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
localCacheName() - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher

M

man - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
MnistDataFetcher - Class in org.deeplearning4j.datasets.fetchers: Data fetcher for the MNIST dataset
MnistDataFetcher(boolean) - Constructor for class org.deeplearning4j.datasets.fetchers.MnistDataFetcher: Constructor telling whether to binarize the dataset or not
MnistDataFetcher(boolean, boolean, boolean, long, int) - Constructor for class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
MnistDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
MnistDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl: MNIST data set iterator - 60000 training digits, 10000 test digits, 10 classes.
MnistDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator
MnistDataSetIterator(int, int, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator: Get the specified number of examples for the MNIST training data set.
MnistDataSetIterator(int, boolean, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator: Constructor to get the full MNIST data set (either test or train sets) without binarization (i.e., just normalization into range of 0 to 1), with shuffling based on a random seed.
MnistDataSetIterator(int, int, boolean, boolean, boolean, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator: Get the specified number of MNIST examples (test or train set), with optional shuffling and binarization.
MnistDbFile - Class in org.deeplearning4j.datasets.mnist: MNIST database file containing entries that can represent image or label data.
MnistDbFile(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistDbFile: Creates new instance and reads the header information.
MnistFetcher - Class in org.deeplearning4j.base
MnistFetcher() - Constructor for class org.deeplearning4j.base.MnistFetcher
MnistImageFile - Class in org.deeplearning4j.datasets.mnist: MNIST database image file.
MnistImageFile(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistImageFile: Creates new MNIST database image file ready for reading.
MnistLabelFile - Class in org.deeplearning4j.datasets.mnist: MNIST database label file.
MnistLabelFile(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistLabelFile: Creates new MNIST database label file ready for reading.
MnistManager - Class in org.deeplearning4j.datasets.mnist: Utility class for working with the MNIST database.
MnistManager(String, String, boolean) - Constructor for class org.deeplearning4j.datasets.mnist.MnistManager: Constructs an instance managing the two given data files.
MnistManager(String, String, int) - Constructor for class org.deeplearning4j.datasets.mnist.MnistManager
MnistManager(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistManager

N

next() - Method in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
next() - Method in class org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator
next() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile: Move to the next entry.
nextImage() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile: Move the cursor to the next image.
NUM_EXAMPLES - Static variable in class org.deeplearning4j.datasets.fetchers.IrisDataFetcher
NUM_EXAMPLES - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
NUM_EXAMPLES - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
NUM_EXAMPLES - Static variable in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
NUM_EXAMPLES_TEST - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
NUM_LABELS - Static variable in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
NUM_LABELS - Static variable in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
NUM_LABELS - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
NUM_LABELS - Static variable in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
numExamples - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
numExamples - Variable in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
numExamplesTest(EmnistDataSetIterator.Set) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Get the number of test examples for the specified subset
numExamplesTrain(EmnistDataSetIterator.Set) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Get the number of training examples for the specified subset
numLabels(EmnistDataSetIterator.Set) - Static method in class org.deeplearning4j.base.EmnistFetcher
numLabels(EmnistDataSetIterator.Set) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator: Get the number of labels for the specified subset

O

oneIndexed - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
order - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
org.deeplearning4j.base - package org.deeplearning4j.base
org.deeplearning4j.datasets.fetchers - package org.deeplearning4j.datasets.fetchers
org.deeplearning4j.datasets.iterator.impl - package org.deeplearning4j.datasets.iterator.impl
org.deeplearning4j.datasets.mnist - package org.deeplearning4j.datasets.mnist

P

preProcessor - Variable in class org.deeplearning4j.datasets.iterator.impl.Cifar10DataSetIterator
preProcessor - Variable in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
preProcessor - Variable in class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator
preProcessor - Variable in class org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator
prev() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile: Move to the previous entry.
prevImage() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile: Move the cursor to the previous image.

R

readImage() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile: Reads the image at the current position.
readImage() - Method in class org.deeplearning4j.datasets.mnist.MnistManager: Reads the current image.
readImagesUnsafe(int) - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile: Read the specified number of images from the current position, to a byte[nImages][rows*cols] Note that MNIST data set is stored as unsigned bytes; this method returns signed bytes without conversion (i.e., same bits, but requires conversion before use)
readImageUnsafe(int) - Method in class org.deeplearning4j.datasets.mnist.MnistManager
readLabel() - Method in class org.deeplearning4j.datasets.mnist.MnistLabelFile: Reads the integer at the current position.
readLabel() - Method in class org.deeplearning4j.datasets.mnist.MnistManager: Reads the current label.
readLabel(int) - Method in class org.deeplearning4j.datasets.mnist.MnistManager
readLabels(int) - Method in class org.deeplearning4j.datasets.mnist.MnistLabelFile: Read the specified number of labels from the current position
remoteDataUrl() - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
remoteDataUrl(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.Cifar10Fetcher
remoteDataUrl(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
remoteDataUrl(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
remoteDataUrl() - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
remoteDataUrl(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
reset() - Method in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
rng - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher

S

setBaseUrl(String) - Static method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
setCurrent(int) - Method in class org.deeplearning4j.datasets.mnist.MnistManager: Set the position to be read.
setCurrentIndex(long) - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile: Set the required current entry index.
setURL(String) - Static method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
shuffle - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
SvhnDataFetcher - Class in org.deeplearning4j.datasets.fetchers: The Street View House Numbers (SVHN) Dataset is a real-world image dataset for developing machine learning and object recognition algorithms with minimal requirement on data preprocessing and formatting.
SvhnDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher

T

TEST_FILE_LABELS_FILENAME_UNZIPPED - Static variable in class org.deeplearning4j.base.MnistFetcher
TEST_FILES_FILENAME_UNZIPPED - Static variable in class org.deeplearning4j.base.MnistFetcher
TinyImageNetDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl: Tiny ImageNet is a subset of the ImageNet database.
TinyImageNetDataSetIterator(int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator: Create an iterator for the training set, with random iteration order (RNG seed fixed to 123)
TinyImageNetDataSetIterator(int, DataSetType) - Constructor for class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator: * Create an iterator for the training or test set, with random iteration order (RNG seed fixed to 123)
TinyImageNetDataSetIterator(int, int[], DataSetType) - Constructor for class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator: Get the Tiny ImageNet iterator with specified train/test set, with random iteration order (RNG seed fixed to 123)
TinyImageNetDataSetIterator(int, int[], DataSetType, ImageTransform, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator: Get the Tiny ImageNet iterator with specified train/test set and (optional) custom transform.
TinyImageNetFetcher - Class in org.deeplearning4j.datasets.fetchers: Tiny ImageNet is a subset of the ImageNet database.
TinyImageNetFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
train - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
TRAINING_FILE_LABELS_FILENAME_UNZIPPED - Static variable in class org.deeplearning4j.base.MnistFetcher
TRAINING_FILES_FILENAME_UNZIPPED - Static variable in class org.deeplearning4j.base.MnistFetcher

U

UciSequenceDataFetcher - Class in org.deeplearning4j.datasets.fetchers: Fetcher for UCI synthetic control chart time series dataset.
UciSequenceDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
UciSequenceDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl: UCI synthetic control chart time series dataset.
UciSequenceDataSetIterator(int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator: Create an iterator for the training set, with the specified minibatch size.
UciSequenceDataSetIterator(int, DataSetType) - Constructor for class org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator: Create an iterator for the training or test set, with the specified minibatch size.
UciSequenceDataSetIterator(int, DataSetType, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator: Create an iterator for the training or test set, with the specified minibatch size

V

valueOf(String) - Static method in enum org.deeplearning4j.datasets.fetchers.DataSetType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator.Set: Returns the enum constant of this type with the specified name.
values() - Static method in enum org.deeplearning4j.datasets.fetchers.DataSetType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator.Set: Returns an array containing the constants of this enum type, in the order they are declared.

W

WORDS_FILENAME - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
writeImageToPpm(int[][], String) - Static method in class org.deeplearning4j.datasets.mnist.MnistManager: Writes the given image in the given file using the PPM data format.

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