Uses of Class
org.nd4j.linalg.dataset.DataSet

Packages that use DataSet

Package	Description
org.nd4j.autodiff.samediff
org.nd4j.linalg.dataset
org.nd4j.linalg.dataset.adapter
org.nd4j.linalg.dataset.api
org.nd4j.linalg.dataset.api.iterator
org.nd4j.linalg.dataset.api.iterator.cache
org.nd4j.linalg.dataset.api.iterator.fetcher
org.nd4j.linalg.heartbeat.utils
org.nd4j.linalg.util

Uses of DataSet in org.nd4j.autodiff.samediff

Methods in org.nd4j.autodiff.samediff with parameters of type DataSet

Modifier and Type	Method	Description
History	SameDiff.fit(@NonNull DataSet dataSet, @NonNull Listener... listeners)	Fit the SameDiff instance based on a single DataSet (i.e., a single minibatch for one iteration). This method can only be used for singe input, single output SameDiff instances as DataSet only supports a single input and a single output. Note that a TrainingConfig must be set via SameDiff.setTrainingConfig(TrainingConfig) before training can be performed.
Map<String,INDArray>	SameDiff.output(@NonNull DataSet dataSet, @NonNull String... outputs)	Do a single batch inference on a network with a single input. For example, if the variable to infer was called "softmax" you would use:

Uses of DataSet in org.nd4j.linalg.dataset

Fields in org.nd4j.linalg.dataset declared as DataSet

Modifier and Type	Field	Description
protected DataSet	AsyncDataSetIterator.nextElement
protected DataSet	AsyncDataSetIterator.terminator

Fields in org.nd4j.linalg.dataset with type parameters of type DataSet

Modifier and Type	Field	Description
protected BlockingQueue<DataSet>	AsyncDataSetIterator.buffer

Methods in org.nd4j.linalg.dataset that return DataSet

Modifier and Type	Method	Description
DataSet	DataSet.copy()	Clone the dataset
static DataSet	DataSet.empty()	Returns a single dataset (all fields are null)
DataSet	DataSet.filterBy(int[] labels)	Strips the data transform of all but the passed in labels
DataSet	DataSet.get(int i)	Gets a copy of example i
DataSet	DataSet.get(int[] i)	Gets a copy of example i
DataSet	SplitTestAndTrain.getTest()
DataSet	SplitTestAndTrain.getTrain()
static DataSet	DataSet.merge(List<? extends DataSet> data)	Merge the list of datasets in to one list.
DataSet	AsyncDataSetIterator.next()	Returns the next element in the iteration.
DataSet	AsyncDataSetIterator.next(int num)	Like the standard next method but allows a customizable number of examples returned
DataSet	ExistingMiniBatchDataSetIterator.next()
DataSet	ExistingMiniBatchDataSetIterator.next(int num)
DataSet	MiniBatchFileDataSetIterator.next()
DataSet	MiniBatchFileDataSetIterator.next(int num)
DataSet	ViewIterator.next()
DataSet	ViewIterator.next(int num)
DataSet	DataSet.reshape(int rows, int cols)	Reshapes the input in to the given rows and columns
DataSet	DataSet.sample(int numSamples)	Sample without replacement and a random rng
DataSet	DataSet.sample(int numSamples, boolean withReplacement)	Sample a dataset numSamples times
DataSet	DataSet.sample(int numSamples, Random rng)	Sample without replacement
DataSet	DataSet.sample(int numSamples, Random rng, boolean withReplacement)	Sample a dataset

Methods in org.nd4j.linalg.dataset that return types with arguments of type DataSet

Modifier and Type	Method	Description
List<DataSet>	DataSet.asList()
List<DataSet>	DataSet.batchBy(int num)	Partitions a dataset in to mini batches where each dataset in each list is of the specified number of examples
List<DataSet>	DataSet.batchByNumLabels()
List<DataSet>	DataSet.dataSetBatches(int num)	Partitions the data transform by the specified number.
Iterator<DataSet>	DataSet.iterator()
List<DataSet>	DataSet.sortAndBatchByNumLabels()	Sorts the dataset by label: Splits the data transform such that examples are sorted by their labels.

Methods in org.nd4j.linalg.dataset with parameters of type DataSet

Modifier and Type	Method	Description
void	DataSet.addRow(DataSet d, int i)
void	SplitTestAndTrain.setTest(DataSet test)
void	SplitTestAndTrain.setTrain(DataSet train)

Constructors in org.nd4j.linalg.dataset with parameters of type DataSet

Constructor	Description
AsyncPrefetchThread(@NonNull BlockingQueue<DataSet> queue, @NonNull DataSetIterator iterator, @NonNull DataSet terminator, MemoryWorkspace workspace, int deviceId)
MiniBatchFileDataSetIterator(DataSet baseData, int batchSize)
MiniBatchFileDataSetIterator(DataSet baseData, int batchSize, boolean delete)
MiniBatchFileDataSetIterator(DataSet baseData, int batchSize, boolean delete, File rootDir)
SplitTestAndTrain(DataSet train, DataSet test)
ViewIterator(DataSet data, int batchSize)

Constructor parameters in org.nd4j.linalg.dataset with type arguments of type DataSet

Constructor	Description
AsyncDataSetIterator(DataSetIterator iterator, int queueSize, BlockingQueue<DataSet> queue)	Create an Async iterator with the default queue size of 8
AsyncDataSetIterator(DataSetIterator iterator, int queueSize, BlockingQueue<DataSet> queue, boolean useWorkspace)
AsyncDataSetIterator(DataSetIterator iterator, int queueSize, BlockingQueue<DataSet> queue, boolean useWorkspace, DataSetCallback callback)
AsyncDataSetIterator(DataSetIterator iterator, int queueSize, BlockingQueue<DataSet> queue, boolean useWorkspace, DataSetCallback callback, Integer deviceId)
AsyncPrefetchThread(@NonNull BlockingQueue<DataSet> queue, @NonNull DataSetIterator iterator, @NonNull DataSet terminator, MemoryWorkspace workspace, int deviceId)

Uses of DataSet in org.nd4j.linalg.dataset.adapter

Methods in org.nd4j.linalg.dataset.adapter that return DataSet

Modifier and Type	Method	Description
DataSet	SingletonDataSetIterator.next()
DataSet	SingletonDataSetIterator.next(int num)

Constructors in org.nd4j.linalg.dataset.adapter with parameters of type DataSet

Constructor	Description
SingletonDataSetIterator(DataSet multiDataSet)

Uses of DataSet in org.nd4j.linalg.dataset.api

Methods in org.nd4j.linalg.dataset.api that return DataSet

Modifier and Type	Method	Description
DataSet	DataSet.copy()	Create a copy of the DataSet
DataSet	DataSet.filterBy(int[] labels)
DataSet	DataSet.get(int i)
DataSet	DataSet.get(int[] i)
DataSet	DataSet.reshape(int rows, int cols)
DataSet	DataSet.sample(int numSamples)
DataSet	DataSet.sample(int numSamples, boolean withReplacement)
DataSet	DataSet.sample(int numSamples, Random rng)
DataSet	DataSet.sample(int numSamples, Random rng, boolean withReplacement)

Methods in org.nd4j.linalg.dataset.api that return types with arguments of type DataSet

Modifier and Type	Method	Description
List<DataSet>	DataSet.asList()	Extract each example in the DataSet into its own DataSet object, and return all of them as a list
List<DataSet>	DataSet.batchBy(int num)
List<DataSet>	DataSet.batchByNumLabels()
List<DataSet>	DataSet.dataSetBatches(int num)	Deprecated. prefer DataSet.batchBy(int)
Iterator<DataSet>	DataSet.iterator()
List<DataSet>	DataSet.sortAndBatchByNumLabels()

Methods in org.nd4j.linalg.dataset.api with parameters of type DataSet

Modifier and Type	Method	Description
void	DataSet.addRow(DataSet d, int i)

Uses of DataSet in org.nd4j.linalg.dataset.api.iterator

Fields in org.nd4j.linalg.dataset.api.iterator declared as DataSet

Modifier and Type	Field	Description
protected DataSet	KFoldIterator.allData
protected DataSet	KFoldIterator.test
protected DataSet	KFoldIterator.train

Methods in org.nd4j.linalg.dataset.api.iterator that return DataSet

Modifier and Type	Method	Description
DataSet	BaseDatasetIterator.next()
DataSet	BaseDatasetIterator.next(int num)
DataSet	CachingDataSetIterator.next()
DataSet	CachingDataSetIterator.next(int num)
DataSet	DataSetIterator.next(int num)	Like the standard next method but allows a customizable number of examples returned
DataSet	KFoldIterator.next()
DataSet	KFoldIterator.next(int num)
DataSet	MultipleEpochsIterator.next()	Deprecated. Returns the next element in the iteration.
DataSet	MultipleEpochsIterator.next(int num)	Deprecated. Like the standard next method but allows a customizable number of examples returned
DataSet	SamplingDataSetIterator.next()
DataSet	SamplingDataSetIterator.next(int num)
DataSet	TestDataSetIterator.next()
DataSet	TestDataSetIterator.next(int num)
DataSet	ParallelDataSetIterator.nextFor()	Returns next DataSet for attached consumer
DataSet	ParallelDataSetIterator.nextFor(int consumer)	Returns next DataSet for given consumer
DataSet	KFoldIterator.testFold()

Methods in org.nd4j.linalg.dataset.api.iterator with parameters of type DataSet

Modifier and Type	Method	Description
void	StandardScaler.fit(DataSet dataSet)	Deprecated.
void	StandardScaler.transform(DataSet dataSet)	Deprecated. Transform the data

Constructors in org.nd4j.linalg.dataset.api.iterator with parameters of type DataSet

Constructor	Description
KFoldIterator(int k, DataSet allData)	Create an iterator given the dataset with given k train-test splits N number of samples are split into k batches.
KFoldIterator(DataSet allData)	Create a k-fold cross-validation iterator given the dataset and k=10 train-test splits.
SamplingDataSetIterator(DataSet sampleFrom, int batchSize, int totalNumberSamples)
SamplingDataSetIterator(DataSet sampleFrom, int batchSize, int totalNumberSamples, boolean replace)
TestDataSetIterator(DataSet dataset)	This makes an iterator from the given dataset and batchsize ONLY for use in tests in nd4j Initializes with a default batch of 5
TestDataSetIterator(DataSet dataset, int batch)

Constructor parameters in org.nd4j.linalg.dataset.api.iterator with type arguments of type DataSet

Constructor	Description
TestDataSetIterator(List<DataSet> coll, int batch)

Uses of DataSet in org.nd4j.linalg.dataset.api.iterator.cache

Methods in org.nd4j.linalg.dataset.api.iterator.cache that return DataSet

Modifier and Type	Method	Description
DataSet	DataSetCache.get(String key)
DataSet	InFileAndMemoryDataSetCache.get(String key)
DataSet	InFileDataSetCache.get(String key)
DataSet	InMemoryDataSetCache.get(String key)

Methods in org.nd4j.linalg.dataset.api.iterator.cache with parameters of type DataSet

Modifier and Type	Method	Description
void	DataSetCache.put(String key, DataSet dataSet)
void	InFileAndMemoryDataSetCache.put(String key, DataSet dataSet)
void	InFileDataSetCache.put(String key, DataSet dataSet)
void	InMemoryDataSetCache.put(String key, DataSet dataSet)

Uses of DataSet in org.nd4j.linalg.dataset.api.iterator.fetcher

Fields in org.nd4j.linalg.dataset.api.iterator.fetcher declared as DataSet

Modifier and Type	Field	Description
protected DataSet	BaseDataFetcher.curr

Methods in org.nd4j.linalg.dataset.api.iterator.fetcher that return DataSet

Modifier and Type	Method	Description
DataSet	BaseDataFetcher.next()
DataSet	DataSetFetcher.next()	Returns the next data applyTransformToDestination

Method parameters in org.nd4j.linalg.dataset.api.iterator.fetcher with type arguments of type DataSet

Modifier and Type	Method	Description
protected void	BaseDataFetcher.initializeCurrFromList(List<DataSet> examples)	Initializes this data transform fetcher from the passed in datasets

Uses of DataSet in org.nd4j.linalg.heartbeat.utils

Methods in org.nd4j.linalg.heartbeat.utils with parameters of type DataSet

Modifier and Type	Method	Description
static Task	TaskUtils.buildTask(DataSet dataSet)

Uses of DataSet in org.nd4j.linalg.util

Methods in org.nd4j.linalg.util with parameters of type DataSet

Modifier and Type	Method	Description
void	DataSetUtils.showDataSet(int mtLv, String itemCode, DataSet ds, int in_Digits, int ot_Digits, int r_End_I, int c_End_I)	showDataSet public void showDataSet( int mtLv, String itemCode, DataSet ds, int in_Digits, int ot_Digits, int r_End_I, int c_End_I ) Shows content of DataSet.