Index (deeplearning4j-datavec-iterators 1.0.0-M2.1 API)

A B C E G H I L M N O P R S T U V W Z
All Classes All Packages

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(...)
ALIGN_END - org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.AlignmentMode
ALIGN_END - org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator.AlignmentMode
ALIGN_START - org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.AlignmentMode
ALIGN_START - org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator.AlignmentMode
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(int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Builder(RecordReader, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.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

E

EQUAL_LENGTH - org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.AlignmentMode
EQUAL_LENGTH - org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator.AlignmentMode

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(List<RecordMetaData>) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator: Load a multiple examples to a DataSet, using the provided RecordMetaData instances.
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(List<RecordMetaData>) - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator: Load a multiple sequence examples to a DataSet, using the provided RecordMetaData instances.
loadFromMetaData(RecordMetaData) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator: Load a single example to a DataSet, using the provided RecordMetaData.
loadFromMetaData(RecordMetaData) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator: Load a single example to a DataSet, using the provided RecordMetaData.
loadFromMetaData(RecordMetaData) - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator: Load a single sequence example to a DataSet, using the provided RecordMetaData.

M

maxNumBatches - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
maxNumBatches - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
maxNumBatches(int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder: Optional argument, usually not used.

N

next() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
next() - 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.RecordReaderDataSetIterator
next(int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
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
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 - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
preProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder: Optional arg.

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
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, boolean) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator: Main constructor for multi-label regression (i.e., regression with multiple outputs).
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, 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.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 - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
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).
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
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(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.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(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
setPreProcessor(MultiDataSetPreProcessor) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator

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.
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
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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