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A

addInput(String) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder

Set as an input, the entire contents (all columns) of the RecordReader or SequenceRecordReader

addInput(String, int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder

Set as an input, a subset of the specified RecordReader or SequenceRecordReader

addInputOneHot(String, int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder

Add as an input a single column from the specified RecordReader / SequenceRecordReader The assumption is that the specified column contains integer values in range 0..numClasses-1; this integer will be converted to a one-hot representation

addOutput(String) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder

Set as an output, the entire contents (all columns) of the RecordReader or SequenceRecordReader

addOutput(String, int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder

Add an output, with a subset of the columns from the named RecordReader or SequenceRecordReader

addOutputOneHot(String, int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder

An an output, where the output is taken from a single column from the specified RecordReader / SequenceRecordReader The assumption is that the specified column contains integer values in range 0..numClasses-1; this integer will be converted to a one-hot representation (usually for classification)

addReader(String, RecordReader) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder

Add a RecordReader for use in .addInput(...) or .addOutput(...)

addSequenceReader(String, SequenceRecordReader) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder

Add a SequenceRecordReader for use in .addInput(...) or .addOutput(...)

asyncSupported() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

asyncSupported() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator

asyncSupported() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

B

batch() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

batch() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

batchNum - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

batchSize - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

batchSize - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

build() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

build() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder

Create the RecordReaderMultiDataSetIterator

Builder(RecordReader, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

Builder(int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder

C

classification(int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

Use this for classification

collectMetaData(boolean) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

When set to true: metadata for the current examples will be present in the returned DataSet.

converter - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

converter - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

cursor() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

cursor() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

G

getLabels() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

getLabels() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

getPreProcessor() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator

H

hasNext() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

hasNext() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator

hasNext() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

I

inputColumns() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

inputColumns() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

L

labelIndex - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

labelIndex - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

labelIndexTo - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

labelIndexTo - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

last - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

loadFromMetaData(RecordMetaData) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

Load a single example to a DataSet, using the provided RecordMetaData.

loadFromMetaData(List<RecordMetaData>) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

Load a multiple examples to a DataSet, using the provided RecordMetaData instances.

loadFromMetaData(RecordMetaData) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator

Load a single example to a DataSet, using the provided RecordMetaData.

loadFromMetaData(List<RecordMetaData>) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator

Load a multiple sequence examples to a DataSet, using the provided RecordMetaData instances.

loadFromMetaData(RecordMetaData) - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

Load a single sequence example to a DataSet, using the provided RecordMetaData.

loadFromMetaData(List<RecordMetaData>) - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

Load a multiple sequence examples to a DataSet, using the provided RecordMetaData instances.

M

maxNumBatches - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

maxNumBatches(int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

Optional argument, usually not used.

maxNumBatches - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

N

next(int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

next() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

next() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator

next(int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator

next() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

next(int) - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

nextMultiDataSet(Map<String, List<List<Writable>>>, Map<String, List<INDArray>>, Map<String, List<List<List<Writable>>>>, List<RecordMetaDataComposableMap>) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator

numExamples() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

numExamples() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

numPossibleLabels - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

numPossibleLabels - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

O

org.deeplearning4j.datasets.datavec - package org.deeplearning4j.datasets.datavec

org.deeplearning4j.datasets.datavec.exception - package org.deeplearning4j.datasets.datavec.exception

P

preProcessor - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

preProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

Optional arg.

preProcessor - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

R

recordReader - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

recordReader - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

RecordReaderDataSetIterator - Class in org.deeplearning4j.datasets.datavec

Record reader dataset iterator.

RecordReaderDataSetIterator(RecordReader, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

Constructor for classification, where:
(a) the label index is assumed to be the very last Writable/column, and
(b) the number of classes is inferred from RecordReader.getLabels()
Note that if RecordReader.getLabels() returns null, no output labels will be produced

RecordReaderDataSetIterator(RecordReader, int, int, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

Main constructor for classification.

RecordReaderDataSetIterator(RecordReader, int, int, int, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

Constructor for classification, where the maximum number of returned batches is limited to the specified value

RecordReaderDataSetIterator(RecordReader, int, int, int, boolean) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

Main constructor for multi-label regression (i.e., regression with multiple outputs)

RecordReaderDataSetIterator(RecordReader, WritableConverter, int, int, int, int, int, boolean) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

Main constructor

RecordReaderDataSetIterator(RecordReaderDataSetIterator.Builder) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

RecordReaderDataSetIterator.Builder - Class in org.deeplearning4j.datasets.datavec

Builder class for RecordReaderDataSetIterator

RecordReaderMultiDataSetIterator - Class in org.deeplearning4j.datasets.datavec

RecordReaderMultiDataSetIterator: A MultiDataSetIterator for data from one or more RecordReaders and SequenceRecordReaders
The idea: generate multiple inputs and multiple outputs from one or more Sequence/RecordReaders.

RecordReaderMultiDataSetIterator.AlignmentMode - Enum in org.deeplearning4j.datasets.datavec

When dealing with time series data of different lengths, how should we align the input/labels time series? For equal length: use EQUAL_LENGTH For sequence classification: use ALIGN_END

RecordReaderMultiDataSetIterator.Builder - Class in org.deeplearning4j.datasets.datavec

regression - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

regression(int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

Use this for single output regression (i.e., 1 output/regression target)

regression(int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

Use this for multiple output regression (1 or more output/regression targets).

regression - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

remove() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

remove() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator

remove() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

reset() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

reset() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator

reset() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

resetSupported() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

resetSupported() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator

resetSupported() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

S

sequenceAlignmentMode(RecordReaderMultiDataSetIterator.AlignmentMode) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder

Set the sequence alignment mode for all sequences

sequenceIter - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

SequenceRecordReaderDataSetIterator - Class in org.deeplearning4j.datasets.datavec

Sequence record reader data set iterator Given a record reader (and optionally another record reader for the labels) generate time series (sequence) data sets.
Supports padding for one-to-many and many-to-one type data loading (i.e., with different number of inputs vs.

SequenceRecordReaderDataSetIterator(SequenceRecordReader, SequenceRecordReader, int, int) - Constructor for class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

Constructor where features and labels come from different RecordReaders (for example, different files), and labels are for classification.

SequenceRecordReaderDataSetIterator(SequenceRecordReader, SequenceRecordReader, int, int, boolean) - Constructor for class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

Constructor where features and labels come from different RecordReaders (for example, different files)

SequenceRecordReaderDataSetIterator(SequenceRecordReader, SequenceRecordReader, int, int, boolean, SequenceRecordReaderDataSetIterator.AlignmentMode) - Constructor for class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

Constructor where features and labels come from different RecordReaders (for example, different files)

SequenceRecordReaderDataSetIterator(SequenceRecordReader, int, int, int) - Constructor for class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

Constructor where features and labels come from the SAME RecordReader (i.e., target/label is a column in the same data as the features).

SequenceRecordReaderDataSetIterator(SequenceRecordReader, int, int, int, boolean) - Constructor for class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

Constructor where features and labels come from the SAME RecordReader (i.e., target/label is a column in the same data as the features)

SequenceRecordReaderDataSetIterator.AlignmentMode - Enum in org.deeplearning4j.datasets.datavec

Alignment mode for dealing with input/labels of differing lengths (for example, one-to-many and many-to-one type situations).

setCollectMetaData(boolean) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

When set to true: metadata for the current examples will be present in the returned DataSet.

setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

setPreProcessor(MultiDataSetPreProcessor) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator

setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

T

timeSeriesRandomOffset(boolean, long) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder

For use with timeseries trained with tbptt In a given minbatch, shorter time series are padded and appropriately masked to be the same length as the longest time series.

totalExamples() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

totalExamples() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

totalOutcomes() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

totalOutcomes() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator

U

useCurrent - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

V

valueOf(String) - Static method in enum org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.AlignmentMode

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

valueOf(String) - Static method in enum org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator.AlignmentMode

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

values() - Static method in enum org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.AlignmentMode

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

values() - Static method in enum org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator.AlignmentMode

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

W

writableConverter(WritableConverter) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder

Z

ZeroLengthSequenceException - Exception in org.deeplearning4j.datasets.datavec.exception

Unchecked exception, thrown to signify that a zero-length sequence data set was encountered.

ZeroLengthSequenceException() - Constructor for exception org.deeplearning4j.datasets.datavec.exception.ZeroLengthSequenceException

ZeroLengthSequenceException(String) - Constructor for exception org.deeplearning4j.datasets.datavec.exception.ZeroLengthSequenceException

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