Index (deeplearning4j-core 0.6.0 API)

A B C D E F G H I K L M N O P Q R S T U V W Y

A

accumulateScore(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne
ActivationMeanIterationListener - Class in org.deeplearning4j.plot.iterationlistener
ActivationMeanIterationListener(int) - Constructor for class org.deeplearning4j.plot.iterationlistener.ActivationMeanIterationListener
adaGrad - Variable in class org.deeplearning4j.plot.BarnesHutTsne
adaGrad - Variable in class org.deeplearning4j.plot.Tsne
add(DataSet) - Method in class org.deeplearning4j.parallelism.MagicQueue
addAll(Collection<? extends DataSet>) - Method in class org.deeplearning4j.parallelism.MagicQueue
addClusterInfo(String) - Method in class org.deeplearning4j.clustering.cluster.info.ClusterSetInfo
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
addNewClusterWithCenter(Point) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
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)
addPoint(Point) - Method in class org.deeplearning4j.clustering.cluster.Cluster
addPoint(Point, boolean) - Method in class org.deeplearning4j.clustering.cluster.Cluster
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(...)
allowEmptyClusters - Variable in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
applyClusteringStrategy() - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
applyLearningRateScoreDecay() - Method in class org.deeplearning4j.plot.BarnesHutTsne
applyOptimization(OptimisationStrategy, ClusterSet, ClusterSetInfo, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
applyTo(List<Point>) - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
applyTo(List<Point>) - Method in interface org.deeplearning4j.clustering.algorithm.ClusteringAlgorithm
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
asyncSupported() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
averageUpdaters(boolean) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder: This method enables/disables updaters averaging.
averagingFrequency(int) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder: Model averaging frequency.

B

backingQueues - Variable in class org.deeplearning4j.parallelism.MagicQueue
BarnesHutTsne - Class in org.deeplearning4j.plot: Barnes hut algorithm for TSNE, uses a dual tree approximation approach.
BarnesHutTsne(int, String, double, boolean, int, double, double, double, double, int, boolean, int, double, double, boolean, double, IterationListener, double) - Constructor for class org.deeplearning4j.plot.BarnesHutTsne
BarnesHutTsne.Builder - Class in org.deeplearning4j.plot
BASE_DIR - Variable in class org.deeplearning4j.base.MnistFetcher
BaseClusteringAlgorithm - Class in org.deeplearning4j.clustering.algorithm: adapted to ndarray matrices
BaseClusteringAlgorithm(ClusteringStrategy) - Constructor for class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
BaseClusteringStrategy - Class in org.deeplearning4j.clustering.algorithm.strategy
BaseClusteringStrategy(ClusteringStrategyType, Integer, String, boolean) - Constructor for class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
batch() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
batch() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
batch() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
batchNum - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
batchSize - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
batchSize() - Method in class org.deeplearning4j.plot.BarnesHutTsne
binarize - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
build() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder: Create the RecordReaderMultiDataSetIterator
build() - Method in class org.deeplearning4j.parallelism.MagicQueue.Builder
build() - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder: This method returns ParallelWrapper instance
build() - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
build() - Method in class org.deeplearning4j.plot.Tsne.Builder
build() - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder
Builder(int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Builder() - Constructor for class org.deeplearning4j.parallelism.MagicQueue.Builder
Builder(MultiLayerNetwork) - Constructor for class org.deeplearning4j.parallelism.ParallelWrapper.Builder: Build ParallelWrapper for MultiLayerNetwork
Builder(ComputationGraph) - Constructor for class org.deeplearning4j.parallelism.ParallelWrapper.Builder: Build ParallelWrapper for ComputationGraph
Builder() - Constructor for class org.deeplearning4j.plot.BarnesHutTsne.Builder
Builder() - Constructor for class org.deeplearning4j.plot.Tsne.Builder
Builder() - Constructor for class org.deeplearning4j.ui.UiConnectionInfo.Builder
buildFromData(List<DataPoint>) - Static method in class org.deeplearning4j.clustering.vptree.VPTree

C

calculate(INDArray, int, double) - Method in class org.deeplearning4j.plot.Tsne
Cell - Class in org.deeplearning4j.clustering.quadtree: A cell representing a bounding box forthe quad tree
Cell(double, double, double, double) - Constructor for class org.deeplearning4j.clustering.quadtree.Cell
Cell - Class in org.deeplearning4j.clustering.sptree
Cell(int) - Constructor for class org.deeplearning4j.clustering.sptree.Cell
channels - Static variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
CifarDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl: Created by nyghtowl on 12/18/15.
CifarDataSetIterator(int, int, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator: Loads images with given batchSize, numExamples, & version returned by the generator.
CifarDataSetIterator(int, int, int[]) - Constructor for class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator: Loads images with given batchSize, numExamples, & imgDim returned by the generator.
CifarDataSetIterator(int, int, int[], boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator: Loads images with given batchSize, numExamples, imgDim & version returned by the generator.
CifarDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator: Loads images with given batchSize & numExamples returned by the generator.
CifarDataSetIterator(int, int[]) - Constructor for class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator: Loads images with given batchSize & imgDim returned by the generator.
CifarDataSetIterator(int, int, int[], int, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator: Loads images with given batchSize, numExamples, imgDim & version returned by the generator.
CifarDataSetIterator(int, int, int[], int, ImageTransform, int, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator: Create Cifar data specific iterator
classifyPoint(Point) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
classifyPoint(Point, boolean) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
classifyPoint(ClusterSet, Point) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
classifyPoints() - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
classifyPoints(List<Point>) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
classifyPoints(List<Point>, boolean) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
classifyPoints(ClusterSet, List<Point>, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils: Classify the set of points base on cluster centers.
clear() - Method in class org.deeplearning4j.parallelism.MagicQueue
clear() - Method in class org.deeplearning4j.plot.BarnesHutTsne
close() - Method in class org.deeplearning4j.datasets.mnist.draw.DrawReconstruction
close() - Method in class org.deeplearning4j.datasets.mnist.MnistManager: Close any resources opened by the manager.
close() - Method in class org.deeplearning4j.parallelism.ParallelWrapper
Cluster - Class in org.deeplearning4j.clustering.cluster
Cluster() - Constructor for class org.deeplearning4j.clustering.cluster.Cluster
Cluster(Point, String) - Constructor for class org.deeplearning4j.clustering.cluster.Cluster
ClusterInfo - Class in org.deeplearning4j.clustering.cluster.info
ClusterInfo() - Constructor for class org.deeplearning4j.clustering.cluster.info.ClusterInfo
ClusterInfo(boolean) - Constructor for class org.deeplearning4j.clustering.cluster.info.ClusterInfo
ClusteringAlgorithm - Interface in org.deeplearning4j.clustering.algorithm
ClusteringAlgorithmCondition - Interface in org.deeplearning4j.clustering.algorithm.condition
ClusteringOptimization - Class in org.deeplearning4j.clustering.algorithm.optimisation
ClusteringOptimization(ClusteringOptimizationType, double) - Constructor for class org.deeplearning4j.clustering.algorithm.optimisation.ClusteringOptimization
ClusteringOptimizationType - Enum in org.deeplearning4j.clustering.algorithm.optimisation
ClusteringStrategy - Interface in org.deeplearning4j.clustering.algorithm.strategy
ClusteringStrategyType - Enum in org.deeplearning4j.clustering.algorithm.strategy
ClusterSet - Class in org.deeplearning4j.clustering.cluster
ClusterSet() - Constructor for class org.deeplearning4j.clustering.cluster.ClusterSet
ClusterSet(String) - Constructor for class org.deeplearning4j.clustering.cluster.ClusterSet
ClusterSetInfo - Class in org.deeplearning4j.clustering.cluster.info
ClusterSetInfo() - Constructor for class org.deeplearning4j.clustering.cluster.info.ClusterSetInfo
ClusterSetInfo(boolean) - Constructor for class org.deeplearning4j.clustering.cluster.info.ClusterSetInfo
ClusterUtils - Class in org.deeplearning4j.clustering.cluster: Basic cluster utilities
compareTo(HeapItem) - Method in class org.deeplearning4j.clustering.sptree.HeapItem
computeClusterInfos(Cluster, String) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
computeClusterSetInfo(ClusterSet) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
computeClusterSetInfo(ClusterSet, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
computeEdgeForces(INDArray, INDArray, INDArray, int, INDArray) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
computeEdgeForces(INDArray, INDArray, INDArray, int, INDArray) - Method in class org.deeplearning4j.clustering.sptree.SpTree: Compute edge forces using barns hut
computeGaussianKernel(INDArray, double, int) - Method in class org.deeplearning4j.plot.BarnesHutTsne: Computes a gaussian kernel given a vector of squared distance distances
computeGaussianPerplexity(INDArray, double) - Method in class org.deeplearning4j.plot.BarnesHutTsne: Convert data to probability co-occurrences (aka calculating the kernel)
computeGradientAndScore() - Method in class org.deeplearning4j.plot.BarnesHutTsne
computeNonEdgeForces(int, double, INDArray, AtomicDouble) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree: Compute non edge forces using barnes hut
computeNonEdgeForces(int, double, INDArray, AtomicDouble) - Method in class org.deeplearning4j.clustering.sptree.SpTree: Compute non edge forces using barnes hut
computeSquareDistancesFromNearestCluster(ClusterSet, List<Point>, INDArray, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
conf() - Method in class org.deeplearning4j.plot.BarnesHutTsne
contains(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect
contains(double) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect.Interval
contains(INDArray) - Method in class org.deeplearning4j.clustering.sptree.Cell
contains(Object) - Method in class org.deeplearning4j.parallelism.MagicQueue: This method isn't supported
containsAll(Collection<?>) - Method in class org.deeplearning4j.parallelism.MagicQueue: This method isn't supported
containsPoint(INDArray) - Method in class org.deeplearning4j.clustering.quadtree.Cell: Whether the given point is contained within this cell
ConvergenceCondition - Class in org.deeplearning4j.clustering.algorithm.condition
ConvergenceCondition(Condition, double) - Constructor for class org.deeplearning4j.clustering.algorithm.condition.ConvergenceCondition
converter - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
corner(int) - Method in class org.deeplearning4j.clustering.sptree.Cell
corner() - Method in class org.deeplearning4j.clustering.sptree.Cell
cursor() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
cursor() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
cursor() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
CURVES_FILE_NAME - Static variable in class org.deeplearning4j.datasets.fetchers.CurvesDataFetcher
CURVES_URL - Static variable in class org.deeplearning4j.datasets.fetchers.CurvesDataFetcher
CurvesDataFetcher - Class in org.deeplearning4j.datasets.fetchers: Curves data fetcher
CurvesDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.CurvesDataFetcher
CurvesDataSetIterator - Class in org.deeplearning4j.datasets.iterator: Curves data applyTransformToDestination iterator
CurvesDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.CurvesDataSetIterator

D

DataPoint - Class in org.deeplearning4j.clustering.sptree: A vector with an index and function for distance
DataPoint(int, INDArray, boolean) - Constructor for class org.deeplearning4j.clustering.sptree.DataPoint
DataPoint(int, INDArray, String, boolean) - Constructor for class org.deeplearning4j.clustering.sptree.DataPoint
DataPoint(int, INDArray) - Constructor for class org.deeplearning4j.clustering.sptree.DataPoint
DataPoint(int, INDArray, String) - Constructor for class org.deeplearning4j.clustering.sptree.DataPoint
DataSets - Class in org.deeplearning4j.datasets
defaultIterationCount - Static variable in class org.deeplearning4j.clustering.algorithm.strategy.FixedClusterCountStrategy
defaultIterationCount - Static variable in class org.deeplearning4j.clustering.algorithm.strategy.OptimisationStrategy
delete(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.KDTree
depth() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree: The depth of the node
depth() - Method in class org.deeplearning4j.clustering.sptree.SpTree: The depth of the node
deriveClusterInfoDistanceStatistics(ClusterInfo) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
diag(INDArray) - Method in class org.deeplearning4j.plot.Tsne
distance(DataPoint) - Method in class org.deeplearning4j.clustering.sptree.DataPoint: Euclidean distance
distanceFunction - Variable in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
distributionVariationRateLessThan(double) - Static method in class org.deeplearning4j.clustering.algorithm.condition.ConvergenceCondition
downloadAndUntar() - Method in class org.deeplearning4j.base.MnistFetcher
draw() - Method in class org.deeplearning4j.datasets.mnist.draw.DrawReconstruction
draw() - Method in class org.deeplearning4j.plot.MultiLayerNetworkReconstructionRender
draw() - Method in class org.deeplearning4j.plot.NeuralNetworkReconstructionRender
DrawReconstruction - Class in org.deeplearning4j.datasets.mnist.draw
DrawReconstruction(INDArray, int, int) - Constructor for class org.deeplearning4j.datasets.mnist.draw.DrawReconstruction
DrawReconstruction(INDArray) - Constructor for class org.deeplearning4j.datasets.mnist.draw.DrawReconstruction

E

element() - Method in class org.deeplearning4j.parallelism.MagicQueue
enableHttps(boolean) - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder
endWhenDistributionVariationRateLessThan(double) - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
endWhenDistributionVariationRateLessThan(double) - Method in interface org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategy
endWhenIterationCountEquals(int) - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
endWhenIterationCountEquals(int) - Method in interface org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategy
enlarge(double) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect.Interval
enlargeTo(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect
equals(Object) - Method in class org.deeplearning4j.clustering.quadtree.Cell
equals(Object) - Method in class org.deeplearning4j.clustering.sptree.DataPoint
equals(Object) - Method in class org.deeplearning4j.clustering.sptree.HeapItem
equals(Object) - Method in class org.deeplearning4j.clustering.vptree.VPTree.Node
EUCLIDEAN - Static variable in class org.deeplearning4j.clustering.vptree.VPTree
exampleCount - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator

F

fetch(int) - Method in class org.deeplearning4j.datasets.fetchers.CurvesDataFetcher: Fetches the next dataset.
fetch(int) - Method in class org.deeplearning4j.datasets.fetchers.IrisDataFetcher
fetch(int) - Method in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
FILE_DIR - Variable in class org.deeplearning4j.base.MnistFetcher
FilterPanel - Class in org.deeplearning4j.plot
FilterPanel(BufferedImage) - Constructor for class org.deeplearning4j.plot.FilterPanel
finalMomentum - Variable in class org.deeplearning4j.plot.BarnesHutTsne
finalMomentum - Variable in class org.deeplearning4j.plot.Tsne.Builder
finalMomentum - Variable in class org.deeplearning4j.plot.Tsne
findIndex(INDArray) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree: Returns the cell of this element
fit(DataSetIterator) - Method in class org.deeplearning4j.parallelism.ParallelWrapper: This method takes DataSetIterator, and starts training over it by scheduling DataSets to different executors
fit() - Method in class org.deeplearning4j.plot.BarnesHutTsne
fit(INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
fit(INDArray, int) - Method in class org.deeplearning4j.plot.BarnesHutTsne: Deprecated.
FixedClusterCountStrategy - Class in org.deeplearning4j.clustering.algorithm.strategy
FixedClusterCountStrategy(Integer, String, boolean) - Constructor for class org.deeplearning4j.clustering.algorithm.strategy.FixedClusterCountStrategy
FixedIterationCountCondition - Class in org.deeplearning4j.clustering.algorithm.condition
FixedIterationCountCondition(int) - Constructor for class org.deeplearning4j.clustering.algorithm.condition.FixedIterationCountCondition
frame - Variable in class org.deeplearning4j.datasets.mnist.draw.DrawReconstruction

G

getAccumulation() - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
getArray() - Method in class org.deeplearning4j.clustering.cluster.Point
getAveragePointDistanceFromCenter() - Method in class org.deeplearning4j.clustering.cluster.info.ClusterInfo
getAveragePointDistanceFromClusterCenter() - Method in class org.deeplearning4j.clustering.cluster.info.ClusterSetInfo
getBoundary() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
getBoundary() - Method in class org.deeplearning4j.clustering.sptree.SpTree
getCenter() - Method in class org.deeplearning4j.clustering.cluster.Cluster
getCenterOfMass() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
getCenterOfMass() - Method in class org.deeplearning4j.clustering.sptree.SpTree
getChildren() - Method in class org.deeplearning4j.clustering.sptree.SpTree
getCluster(String) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
getCluster() - Method in class org.deeplearning4j.clustering.cluster.PointClassification
getClusterCenter(String) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
getClusterCenterId(String) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
getClusterCount() - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
getClusterInfo(String) - Method in class org.deeplearning4j.clustering.cluster.info.ClusterSetInfo
getClusteringOptimizationValue() - Method in class org.deeplearning4j.clustering.algorithm.strategy.OptimisationStrategy
getClusters() - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
getClusterSetInfo() - Method in class org.deeplearning4j.clustering.algorithm.iteration.IterationInfo
getClustersInfos() - Method in class org.deeplearning4j.clustering.cluster.info.ClusterSetInfo
getClustersWhereAverageDistanceFromCenterGreaterThan(ClusterSet, ClusterSetInfo, double) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
getClustersWhereMaximumDistanceFromCenterGreaterThan(ClusterSet, ClusterSetInfo, double) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
getCols() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile: Number of columns per image.
getCount() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile
getCumSize() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
getCumSize() - Method in class org.deeplearning4j.clustering.sptree.SpTree
getCurrentIndex() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile: The current entry index.
getD() - Method in class org.deeplearning4j.clustering.sptree.DataPoint
getD() - Method in class org.deeplearning4j.clustering.sptree.SpTree
getData() - Method in class org.deeplearning4j.plot.BarnesHutTsne: Return the matrix reduce to the NDim.
getDistance(Point, Point) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
getDistance() - Method in class org.deeplearning4j.clustering.sptree.HeapItem
getDistanceFromCenter() - Method in class org.deeplearning4j.clustering.cluster.PointClassification
getDistanceFromNearestCluster(Point) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
getDistanceFunction() - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
getDistanceFunction() - Method in interface org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategy
getDistances() - Method in class org.deeplearning4j.clustering.vptree.VPTree
getDistancesBetweenClustersCenters() - Method in class org.deeplearning4j.clustering.cluster.info.ClusterSetInfo
getDistanceToCenter(Point) - Method in class org.deeplearning4j.clustering.cluster.Cluster
getEntryLength() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile: Number of bytes for each entry.
getEntryLength() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
getFilters() - Method in class org.deeplearning4j.plot.iterationlistener.PlotFiltersIterationListener
getFirstPart() - Method in class org.deeplearning4j.ui.UiConnectionInfo: This method returns scheme, address and port for this UiConnectionInfo i.e: https://localhost:8080
getFullAddress(String) - Method in class org.deeplearning4j.ui.UiConnectionInfo
getFullAddress() - Method in class org.deeplearning4j.ui.UiConnectionInfo
getHeaderSize() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile
getHeaderSize() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
getHh() - Method in class org.deeplearning4j.clustering.quadtree.Cell
getHw() - Method in class org.deeplearning4j.clustering.quadtree.Cell
getId() - Method in class org.deeplearning4j.clustering.cluster.Cluster
getId() - Method in class org.deeplearning4j.clustering.cluster.Point
getImage() - Method in class org.deeplearning4j.datasets.mnist.draw.DrawReconstruction
getImages() - Method in class org.deeplearning4j.datasets.mnist.MnistManager: Get the underlying images file as MnistImageFile.
getIndex() - Method in class org.deeplearning4j.clustering.algorithm.iteration.IterationInfo
getIndex() - Method in class org.deeplearning4j.clustering.sptree.DataPoint
getIndex() - Method in class org.deeplearning4j.clustering.sptree.HeapItem
getIndex() - Method in class org.deeplearning4j.clustering.sptree.SpTree
getIndex() - Method in class org.deeplearning4j.clustering.vptree.VPTree.Node
getInitialClusterCount() - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
getInitialClusterCount() - Method in interface org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategy
getInput() - Method in class org.deeplearning4j.plot.PlotFilters
getItems() - Method in class org.deeplearning4j.clustering.vptree.VPTree
getIteration() - Method in class org.deeplearning4j.plot.iterationlistener.ActivationMeanIterationListener
getIteration() - Method in class org.deeplearning4j.plot.iterationlistener.PlotFiltersIterationListener
getIterationCount() - Method in class org.deeplearning4j.clustering.algorithm.iteration.IterationHistory
getIterationInfo(int) - Method in class org.deeplearning4j.clustering.algorithm.iteration.IterationHistory
getIterationsInfos() - Method in class org.deeplearning4j.clustering.algorithm.iteration.IterationHistory
getLabel() - Method in class org.deeplearning4j.clustering.cluster.Cluster
getLabel() - Method in class org.deeplearning4j.clustering.cluster.Point
getLabels() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
getLabels() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
getLabels() - Method in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
getLabels() - Method in class org.deeplearning4j.datasets.mnist.MnistManager: Get the underlying labels file as MnistLabelFile.
getLabels() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
getLeft() - Method in class org.deeplearning4j.clustering.kdtree.KDTree.KDNode
getLeft() - Method in class org.deeplearning4j.clustering.vptree.VPTree.Node
getLower(INDArray, int) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect
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
getMaxPointDistanceFromCenter() - Method in class org.deeplearning4j.clustering.cluster.info.ClusterInfo
getMostPopulatedClusters(int) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
getMostRecentClusterSetInfo() - Method in class org.deeplearning4j.clustering.algorithm.iteration.IterationHistory
getMostRecentIterationInfo() - Method in class org.deeplearning4j.clustering.algorithm.iteration.IterationHistory
getMostSpreadOutClusters(ClusterSet, ClusterSetInfo, int) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
getNameLabel(String) - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
getNewDestination(String, boolean) - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
getNorthEast() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
getNorthWest() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
getNumChildren() - Method in class org.deeplearning4j.clustering.sptree.SpTree
getNumDataSets() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
getNumDimensions() - Method in class org.deeplearning4j.plot.BarnesHutTsne
getNumExamplesTotal() - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
getNumExamplesToTrainOn() - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
getNumTestExamples() - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
getOptimizationPhaseCondition() - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
getOptimizer() - Method in class org.deeplearning4j.plot.BarnesHutTsne
getOutputFile() - Method in class org.deeplearning4j.plot.iterationlistener.ActivationMeanIterationListener
getOutputFile() - Method in class org.deeplearning4j.plot.iterationlistener.PlotFiltersIterationListener
getParam(String) - Method in class org.deeplearning4j.plot.BarnesHutTsne
getParent() - Method in class org.deeplearning4j.clustering.kdtree.KDTree.KDNode
getParent() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
getPathLabel(String) - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
getPerplexity() - Method in class org.deeplearning4j.plot.BarnesHutTsne
getPlot() - Method in class org.deeplearning4j.plot.PlotFilters: Returns the plot ndarray to be rendered
getPoint(String) - Method in class org.deeplearning4j.clustering.cluster.Cluster
getPoint() - Method in class org.deeplearning4j.clustering.kdtree.KDTree.KDNode
getPoint() - Method in class org.deeplearning4j.clustering.sptree.DataPoint
getPointDistanceFromCenterVariance() - Method in class org.deeplearning4j.clustering.cluster.info.ClusterInfo
getPointDistanceFromClusterVariance() - Method in class org.deeplearning4j.clustering.cluster.info.ClusterSetInfo
getPointDistancesFromCenter() - Method in class org.deeplearning4j.clustering.cluster.info.ClusterInfo
getPointDistribution() - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
getPointLocationChange() - Method in class org.deeplearning4j.clustering.cluster.info.ClusterSetInfo
getPoints() - Method in class org.deeplearning4j.clustering.cluster.Cluster
getPointsCount() - Method in class org.deeplearning4j.clustering.cluster.info.ClusterSetInfo
getPointsFartherFromCenterThan(double) - Method in class org.deeplearning4j.clustering.cluster.info.ClusterInfo
getReverseSortedPointDistancesFromCenter() - Method in class org.deeplearning4j.clustering.cluster.info.ClusterInfo
getRight() - Method in class org.deeplearning4j.clustering.kdtree.KDTree.KDNode
getRight() - Method in class org.deeplearning4j.clustering.vptree.VPTree.Node
getRows() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile: Number of rows per image.
getSecondPart() - Method in class org.deeplearning4j.ui.UiConnectionInfo
getSecondPart(String) - Method in class org.deeplearning4j.ui.UiConnectionInfo
getSimiarlityFunction() - Method in class org.deeplearning4j.plot.BarnesHutTsne
getSize() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
getSortedPointDistancesFromCenter() - Method in class org.deeplearning4j.clustering.cluster.info.ClusterInfo
getSouthEast() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
getSouthWest() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
getTerminationCondition() - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
getTerminationCondition() - Method in interface org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategy
getTest() - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
getTheta() - Method in class org.deeplearning4j.plot.BarnesHutTsne
getThreshold() - Method in class org.deeplearning4j.clustering.vptree.VPTree.Node
getTotalPointDistanceFromCenter() - Method in class org.deeplearning4j.clustering.cluster.info.ClusterInfo
getTrain() - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
getType() - Method in class org.deeplearning4j.clustering.algorithm.optimisation.ClusteringOptimization
getType() - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
getType() - Method in interface org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategy
getUpper(INDArray, int) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect
getValue() - Method in class org.deeplearning4j.clustering.algorithm.optimisation.ClusteringOptimization
getVariables() - Method in class org.deeplearning4j.plot.iterationlistener.PlotFiltersIterationListener
getX() - Method in class org.deeplearning4j.clustering.quadtree.Cell
getY() - Method in class org.deeplearning4j.clustering.quadtree.Cell
gradient(INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
gradient() - Method in class org.deeplearning4j.plot.BarnesHutTsne
gradientAndScore() - Method in class org.deeplearning4j.plot.BarnesHutTsne
GREATER - Static variable in class org.deeplearning4j.clustering.kdtree.KDTree
gunzipFile(File, File) - Static method in class org.deeplearning4j.base.MnistFetcher

H

handlers - Variable in class org.deeplearning4j.parallelism.MagicQueue
hashCode() - Method in class org.deeplearning4j.clustering.quadtree.Cell
hashCode() - Method in class org.deeplearning4j.clustering.sptree.DataPoint
hashCode() - Method in class org.deeplearning4j.clustering.sptree.HeapItem
hashCode() - Method in class org.deeplearning4j.clustering.vptree.VPTree.Node
hasMore() - Method in class org.deeplearning4j.datasets.fetchers.CurvesDataFetcher
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
hasNext() - Method in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
hasNext() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
hBeta(INDArray, double) - Method in class org.deeplearning4j.plot.Tsne: Computes a gaussian kernel given a vector of squared distance distances
HeapItem - Class in org.deeplearning4j.clustering.sptree
HeapItem(int, double) - Constructor for class org.deeplearning4j.clustering.sptree.HeapItem
height - Static variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
HyperRect - Class in org.deeplearning4j.clustering.kdtree: Created by agibsonccc on 12/29/14.
HyperRect(List<HyperRect.Interval>) - Constructor for class org.deeplearning4j.clustering.kdtree.HyperRect
HyperRect.Interval - Class in org.deeplearning4j.clustering.kdtree

I

init() - Method in class org.deeplearning4j.plot.Tsne
initClusters() - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm: Initialize the cluster centers at random
initialClusterCount - Variable in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
initialize(ClusterSet, boolean) - Static method in class org.deeplearning4j.clustering.cluster.info.ClusterSetInfo
initialMomentum - Variable in class org.deeplearning4j.plot.BarnesHutTsne
initialMomentum - Variable in class org.deeplearning4j.plot.Tsne.Builder
initialMomentum - Variable in class org.deeplearning4j.plot.Tsne
initParams() - Method in class org.deeplearning4j.plot.BarnesHutTsne
input() - Method in class org.deeplearning4j.plot.BarnesHutTsne
inputColumns() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
inputColumns() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
inputColumns() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
inputStream - Static variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
insert(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.KDTree: Insert a point in to the tree
insert(int) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree: Insert an index of the data in to the tree
Interval(double, double) - Constructor for class org.deeplearning4j.clustering.kdtree.HyperRect.Interval
invertDistanceMetric(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
invoke() - Method in class org.deeplearning4j.plot.iterationlistener.ActivationMeanIterationListener
invoke() - Method in class org.deeplearning4j.plot.iterationlistener.PlotFiltersIterationListener
invoked() - Method in class org.deeplearning4j.plot.iterationlistener.ActivationMeanIterationListener
invoked() - Method in class org.deeplearning4j.plot.iterationlistener.PlotFiltersIterationListener
iris() - Static method in class org.deeplearning4j.datasets.DataSets
iris(int) - Static method in class org.deeplearning4j.datasets.DataSets
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(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
isAllowEmptyClusters() - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
isAllowEmptyClusters() - Method in interface org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategy
isClusteringOptimizationType(ClusteringOptimizationType) - Method in class org.deeplearning4j.clustering.algorithm.strategy.OptimisationStrategy
isCorrect() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree: Returns whether the tree is consistent or not
isCorrect() - Method in class org.deeplearning4j.clustering.sptree.SpTree: Verifies the structure of the tree (does bounds checking on each node)
isEmpty() - Method in class org.deeplearning4j.clustering.cluster.Cluster
isEmpty() - Method in class org.deeplearning4j.parallelism.MagicQueue
isInvert() - Method in class org.deeplearning4j.plot.BarnesHutTsne
isLeaf() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
isLeaf() - Method in class org.deeplearning4j.clustering.sptree.SpTree
isNewLocation() - Method in class org.deeplearning4j.clustering.cluster.PointClassification
isOptimizationApplicableNow(IterationHistory) - Method in interface org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategy
isOptimizationApplicableNow(IterationHistory) - Method in class org.deeplearning4j.clustering.algorithm.strategy.FixedClusterCountStrategy
isOptimizationApplicableNow(IterationHistory) - Method in class org.deeplearning4j.clustering.algorithm.strategy.OptimisationStrategy
isOptimizationDefined() - Method in interface org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategy
isOptimizationDefined() - Method in class org.deeplearning4j.clustering.algorithm.strategy.FixedClusterCountStrategy
isOptimizationDefined() - Method in class org.deeplearning4j.clustering.algorithm.strategy.OptimisationStrategy
isSatisfied(IterationHistory) - Method in interface org.deeplearning4j.clustering.algorithm.condition.ClusteringAlgorithmCondition
isSatisfied(IterationHistory) - Method in class org.deeplearning4j.clustering.algorithm.condition.ConvergenceCondition
isSatisfied(IterationHistory) - Method in class org.deeplearning4j.clustering.algorithm.condition.FixedIterationCountCondition
isSatisfied(IterationHistory) - Method in class org.deeplearning4j.clustering.algorithm.condition.VarianceVariationCondition
isStrategyApplied() - Method in class org.deeplearning4j.clustering.algorithm.iteration.IterationInfo
isStrategyOfType(ClusteringStrategyType) - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
isStrategyOfType(ClusteringStrategyType) - Method in interface org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategy
iterate(INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
iterationCountGreaterThan(int) - Static method in class org.deeplearning4j.clustering.algorithm.condition.FixedIterationCountCondition
iterationDone(Model, int) - Method in class org.deeplearning4j.plot.iterationlistener.ActivationMeanIterationListener
iterationDone(Model, int) - Method in class org.deeplearning4j.plot.iterationlistener.PlotFiltersIterationListener
IterationHistory - Class in org.deeplearning4j.clustering.algorithm.iteration
IterationHistory() - Constructor for class org.deeplearning4j.clustering.algorithm.iteration.IterationHistory
IterationInfo - Class in org.deeplearning4j.clustering.algorithm.iteration
IterationInfo(int) - Constructor for class org.deeplearning4j.clustering.algorithm.iteration.IterationInfo
IterationInfo(int, ClusterSetInfo) - Constructor for class org.deeplearning4j.clustering.algorithm.iteration.IterationInfo
iterationListener - Variable in class org.deeplearning4j.plot.BarnesHutTsne
iterator() - Method in class org.deeplearning4j.parallelism.MagicQueue: This method isn't supported

K

KDNode(INDArray) - Constructor for class org.deeplearning4j.clustering.kdtree.KDTree.KDNode
KDTree - Class in org.deeplearning4j.clustering.kdtree: KDTree based on: https://github.com/nicky-zs/kdtree-python/blob/master/kdtree.py
KDTree(int) - Constructor for class org.deeplearning4j.clustering.kdtree.KDTree
KDTree.KDNode - Class in org.deeplearning4j.clustering.kdtree
KMeansClustering - Class in org.deeplearning4j.clustering.kmeans
KMeansClustering(ClusteringStrategy) - Constructor for class org.deeplearning4j.clustering.kmeans.KMeansClustering
knn(INDArray, double) - Method in class org.deeplearning4j.clustering.kdtree.KDTree

L

labelIndex - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
labelIndexTo - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
last - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
learningRate(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
learningRate - Variable in class org.deeplearning4j.plot.BarnesHutTsne
learningRate - Variable in class org.deeplearning4j.plot.Tsne.Builder
learningRate(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
learningRate - Variable in class org.deeplearning4j.plot.Tsne
LESS - Static variable in class org.deeplearning4j.clustering.kdtree.KDTree
LFWDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
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, int, Random) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator: Create LFW data specific iterator
LoadAndDraw - Class in org.deeplearning4j.datasets.mnist.draw
loader - Static variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
loadIris(int, int) - Static method in class org.deeplearning4j.base.IrisUtils
LOCAL_DIR_NAME - Static variable in class org.deeplearning4j.base.MnistFetcher
LOCAL_DIR_NAME - Static variable in class org.deeplearning4j.datasets.fetchers.CurvesDataFetcher
LocalUnstructuredDataFormatter - Class in org.deeplearning4j.datasets.rearrange: Rearrange an unstructured dataset in to split test/train on the file system
LocalUnstructuredDataFormatter(File, File, LocalUnstructuredDataFormatter.LabelingType, double) - Constructor for class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
LocalUnstructuredDataFormatter.LabelingType - Enum in org.deeplearning4j.datasets.rearrange
log - Static variable in class org.deeplearning4j.base.MnistFetcher
logger - Static variable in class org.deeplearning4j.plot.BarnesHutTsne
logger - Static variable in class org.deeplearning4j.plot.Tsne

M

MagicQueue - Class in org.deeplearning4j.parallelism: Limited Queue implementation, suited for multi-gpu prefetch.
MagicQueue(int) - Constructor for class org.deeplearning4j.parallelism.MagicQueue
MagicQueue.Builder - Class in org.deeplearning4j.parallelism
main(String[]) - Static method in class org.deeplearning4j.datasets.mnist.draw.LoadAndDraw
man - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
maxIter - Variable in class org.deeplearning4j.plot.BarnesHutTsne
maxIter - Variable in class org.deeplearning4j.plot.Tsne.Builder
maxIter - Variable in class org.deeplearning4j.plot.Tsne
maxNumBatches - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
minDistance(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect
minGain(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
minGain - Variable in class org.deeplearning4j.plot.BarnesHutTsne
minGain - Variable in class org.deeplearning4j.plot.Tsne.Builder
minGain(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
minGain - Variable in class org.deeplearning4j.plot.Tsne
mnist() - Static method in class org.deeplearning4j.datasets.DataSets
mnist(int) - Static method in class org.deeplearning4j.datasets.DataSets
MNIST_ROOT - Static 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) - 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 applyTransformToDestination iterator.
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) - Constructor for class org.deeplearning4j.datasets.mnist.MnistManager
momentum - Variable in class org.deeplearning4j.plot.BarnesHutTsne
momentum - Variable in class org.deeplearning4j.plot.Tsne.Builder
momentum - Variable in class org.deeplearning4j.plot.Tsne
MultiLayerNetworkReconstructionRender - Class in org.deeplearning4j.plot: Reconstruction renders for a multi layer network
MultiLayerNetworkReconstructionRender(DataSetIterator, MultiLayerNetwork, int) - Constructor for class org.deeplearning4j.plot.MultiLayerNetworkReconstructionRender
MultiLayerNetworkReconstructionRender(DataSetIterator, MultiLayerNetwork) - Constructor for class org.deeplearning4j.plot.MultiLayerNetworkReconstructionRender

N

nearestCluster(Point) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
NeuralNetworkReconstructionRender - Class in org.deeplearning4j.plot: Neural Network reconstruction renderer
NeuralNetworkReconstructionRender(DataSetIterator, Layer) - Constructor for class org.deeplearning4j.plot.NeuralNetworkReconstructionRender
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
next() - Method in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
next() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile: Move to the next entry.
next() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
next(int) - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
nextBucket - Variable in class org.deeplearning4j.parallelism.MagicQueue
nextImage() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile: Move the cursor to the next image.
nn(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.KDTree: Query for nearest neighbor.
Node(int, double) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree.Node
NODE_RATIO - Static variable in class org.deeplearning4j.clustering.sptree.SpTree
normalize(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
normalize - Variable in class org.deeplearning4j.plot.BarnesHutTsne
normalize - Variable in class org.deeplearning4j.plot.Tsne.Builder
normalize(boolean) - Method in class org.deeplearning4j.plot.Tsne.Builder
normalize - Variable in class org.deeplearning4j.plot.Tsne
NUM_EXAMPLES - Static variable in class org.deeplearning4j.datasets.fetchers.IrisDataFetcher
NUM_EXAMPLES - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
NUM_EXAMPLES_TEST - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
numberOfBuckets - Variable in class org.deeplearning4j.parallelism.MagicQueue
numDimension(int) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
numExamples() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
numExamples() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
numExamples - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
numExamples() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
numParams() - Method in class org.deeplearning4j.plot.BarnesHutTsne
numParams(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne
numPixels - Static variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
numPossibleLabels - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

O

offer(DataSet) - Method in class org.deeplearning4j.parallelism.MagicQueue
OptimisationStrategy - Class in org.deeplearning4j.clustering.algorithm.strategy
OptimisationStrategy(int, String) - Constructor for class org.deeplearning4j.clustering.algorithm.strategy.OptimisationStrategy
optimizationPhaseCondition - Variable in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
optimize() - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
optimize(ClusteringOptimizationType, double) - Method in class org.deeplearning4j.clustering.algorithm.strategy.OptimisationStrategy
optimizeWhenIterationCountMultipleOf(int) - Method in class org.deeplearning4j.clustering.algorithm.strategy.OptimisationStrategy
optimizeWhenPointDistributionVariationRateLessThan(double) - Method in class org.deeplearning4j.clustering.algorithm.strategy.OptimisationStrategy
order - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
org.deeplearning4j.base - package org.deeplearning4j.base
org.deeplearning4j.clustering.algorithm - package org.deeplearning4j.clustering.algorithm
org.deeplearning4j.clustering.algorithm.condition - package org.deeplearning4j.clustering.algorithm.condition
org.deeplearning4j.clustering.algorithm.iteration - package org.deeplearning4j.clustering.algorithm.iteration
org.deeplearning4j.clustering.algorithm.optimisation - package org.deeplearning4j.clustering.algorithm.optimisation
org.deeplearning4j.clustering.algorithm.strategy - package org.deeplearning4j.clustering.algorithm.strategy
org.deeplearning4j.clustering.cluster - package org.deeplearning4j.clustering.cluster
org.deeplearning4j.clustering.cluster.info - package org.deeplearning4j.clustering.cluster.info
org.deeplearning4j.clustering.kdtree - package org.deeplearning4j.clustering.kdtree
org.deeplearning4j.clustering.kmeans - package org.deeplearning4j.clustering.kmeans
org.deeplearning4j.clustering.quadtree - package org.deeplearning4j.clustering.quadtree
org.deeplearning4j.clustering.sptree - package org.deeplearning4j.clustering.sptree
org.deeplearning4j.clustering.vptree - package org.deeplearning4j.clustering.vptree: Created by agibsonccc on 1/3/15.
org.deeplearning4j.datasets - package org.deeplearning4j.datasets
org.deeplearning4j.datasets.datavec - package org.deeplearning4j.datasets.datavec
org.deeplearning4j.datasets.fetchers - package org.deeplearning4j.datasets.fetchers
org.deeplearning4j.datasets.iterator - package org.deeplearning4j.datasets.iterator
org.deeplearning4j.datasets.iterator.impl - package org.deeplearning4j.datasets.iterator.impl
org.deeplearning4j.datasets.mnist - package org.deeplearning4j.datasets.mnist
org.deeplearning4j.datasets.mnist.draw - package org.deeplearning4j.datasets.mnist.draw
org.deeplearning4j.datasets.rearrange - package org.deeplearning4j.datasets.rearrange
org.deeplearning4j.datasets.test - package org.deeplearning4j.datasets.test
org.deeplearning4j.datasets.vectorizer - package org.deeplearning4j.datasets.vectorizer
org.deeplearning4j.parallelism - package org.deeplearning4j.parallelism
org.deeplearning4j.plot - package org.deeplearning4j.plot
org.deeplearning4j.plot.iterationlistener - package org.deeplearning4j.plot.iterationlistener
org.deeplearning4j.ui - package org.deeplearning4j.ui
overshot - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator

P

paintComponent(Graphics) - Method in class org.deeplearning4j.plot.FilterPanel
ParallelWrapper - Class in org.deeplearning4j.parallelism: This is simple data-parallel wrapper suitable for multi-cpu/multi-gpu environments.
ParallelWrapper(Model, int, int) - Constructor for class org.deeplearning4j.parallelism.ParallelWrapper
ParallelWrapper.Builder - Class in org.deeplearning4j.parallelism
params() - Method in class org.deeplearning4j.plot.BarnesHutTsne
paramTable() - Method in class org.deeplearning4j.plot.BarnesHutTsne
peek() - Method in class org.deeplearning4j.parallelism.MagicQueue
perplexity(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
perplexity - Variable in class org.deeplearning4j.plot.BarnesHutTsne
perplexity - Variable in class org.deeplearning4j.plot.Tsne.Builder
perplexity(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
perplexity - Variable in class org.deeplearning4j.plot.Tsne
plot(INDArray, int, List<String>, String) - Method in class org.deeplearning4j.plot.BarnesHutTsne: Deprecated.
use BarnesHutTsne.fit(INDArray) and BarnesHutTsne.saveAsFile(List, String) instead.
plot() - Method in class org.deeplearning4j.plot.PlotFilters: Plot the image
plot(INDArray, int, List<String>, String) - Method in class org.deeplearning4j.plot.Tsne
PlotFilters - Class in org.deeplearning4j.plot: Based on the work by krizshevy et.
PlotFilters(INDArray, int[], int[], int[]) - Constructor for class org.deeplearning4j.plot.PlotFilters
PlotFiltersIterationListener - Class in org.deeplearning4j.plot.iterationlistener
PlotFiltersIterationListener(PlotFilters, List<String>, int) - Constructor for class org.deeplearning4j.plot.iterationlistener.PlotFiltersIterationListener
Point - Class in org.deeplearning4j.clustering.cluster
Point(INDArray) - Constructor for class org.deeplearning4j.clustering.cluster.Point
Point(String, INDArray) - Constructor for class org.deeplearning4j.clustering.cluster.Point
Point(String, String, double[]) - Constructor for class org.deeplearning4j.clustering.cluster.Point
Point(String, String, INDArray) - Constructor for class org.deeplearning4j.clustering.cluster.Point
point(INDArray) - Static method in class org.deeplearning4j.clustering.kdtree.HyperRect
PointClassification - Class in org.deeplearning4j.clustering.cluster
PointClassification(Cluster, double, boolean) - Constructor for class org.deeplearning4j.clustering.cluster.PointClassification
poll(long, TimeUnit) - Method in class org.deeplearning4j.parallelism.MagicQueue: This method is supposed to be called from managed thread, attached to specific device.
poll() - Method in class org.deeplearning4j.parallelism.MagicQueue: This method is supposed to be called from managed thread, attached to specific device.
prefetchBuffer(int) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder: Size of prefetch buffer that will be used for background data prefetching.
preProcessor - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
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.

Q

QuadTree - Class in org.deeplearning4j.clustering.quadtree: QuadTree: http://en.wikipedia.org/wiki/Quadtree Reference impl based on the paper by: http://arxiv.org/pdf/1301.3342v2.pdf Primarily focused on 2 dimensions, may expand later if there's a reason.
QuadTree(INDArray) - Constructor for class org.deeplearning4j.clustering.quadtree.QuadTree: Pass in a matrix
QuadTree(QuadTree, INDArray, Cell) - Constructor for class org.deeplearning4j.clustering.quadtree.QuadTree
QuadTree(Cell) - Constructor for class org.deeplearning4j.clustering.quadtree.QuadTree

R

RawMnistDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl: Mnist data with scaled pixels
RawMnistDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.RawMnistDataSetIterator
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
readjustToData() - Method in class org.deeplearning4j.datasets.mnist.draw.DrawReconstruction
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
realMin - Variable in class org.deeplearning4j.plot.BarnesHutTsne
realMin - Variable in class org.deeplearning4j.plot.Tsne.Builder
realMin - Variable in class org.deeplearning4j.plot.Tsne
rearrange() - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
recordReader - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
RecordReaderDataSetIterator - Class in org.deeplearning4j.datasets.datavec: Record reader dataset iterator
RecordReaderDataSetIterator(RecordReader, WritableConverter, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
RecordReaderDataSetIterator(RecordReader, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
RecordReaderDataSetIterator(RecordReader, int, int, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
RecordReaderDataSetIterator(RecordReader, WritableConverter, int, int, int, boolean) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
RecordReaderDataSetIterator(RecordReader, WritableConverter, int, int, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
RecordReaderDataSetIterator(RecordReader, int, int, int, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
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, boolean) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
RecordReaderDataSetIterator(RecordReader, WritableConverter, int, int, int, int, int, boolean) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator: Main constructor
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
refreshClusterCenter(Cluster, ClusterInfo) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
refreshClustersCenters(ClusterSet, ClusterSetInfo, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
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
remove() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
remove(Object) - Method in class org.deeplearning4j.parallelism.MagicQueue: This method isn't supported
remove() - Method in class org.deeplearning4j.parallelism.MagicQueue
removeAll(Collection<?>) - Method in class org.deeplearning4j.parallelism.MagicQueue: This method isn't supported
removeClusterInfos(List<Cluster>) - Method in class org.deeplearning4j.clustering.cluster.info.ClusterSetInfo
removeEmptyClusters(ClusterSetInfo) - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
removeEmptyClusters() - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
removePoint(String) - Method in class org.deeplearning4j.clustering.cluster.Cluster
removePoints() - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
removePoints() - Method in class org.deeplearning4j.clustering.cluster.Cluster
removePoints() - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
reportScoreAfterAveraging(boolean) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder: This method enables/disables averaged model score reporting
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
reset() - Method in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
reset() - Method in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
reset() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
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
resetSupported() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
retainAll(Collection<?>) - Method in class org.deeplearning4j.parallelism.MagicQueue: This method isn't supported
rng - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher

S

saveAsFile(List<String>, String) - Method in class org.deeplearning4j.plot.BarnesHutTsne: Save the model as a file with a csv format, adding the label as the last column.
scale(INDArray) - Method in class org.deeplearning4j.plot.PlotFilters: scale the data to between 0 and 1
score() - Method in class org.deeplearning4j.plot.BarnesHutTsne
search(DataPoint, int, List<DataPoint>, List<Double>) - Method in class org.deeplearning4j.clustering.vptree.VPTree
search(VPTree.Node, DataPoint, int, PriorityQueue<HeapItem>) - Method in class org.deeplearning4j.clustering.vptree.VPTree
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, 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, 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).
setAccumulation(String) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
setAddress(String) - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder
setAllowEmptyClusters(boolean) - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
setArray(INDArray) - Method in class org.deeplearning4j.clustering.cluster.Point
setAveragePointDistanceFromCenter(double) - Method in class org.deeplearning4j.clustering.cluster.info.ClusterInfo
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
setBoundary(Cell) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
setCenter(Point) - Method in class org.deeplearning4j.clustering.cluster.Cluster
setCenterOfMass(INDArray) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
setCluster(Cluster) - Method in class org.deeplearning4j.clustering.cluster.PointClassification
setClusters(List<Cluster>) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
setClusterSetInfo(ClusterSetInfo) - Method in class org.deeplearning4j.clustering.algorithm.iteration.IterationInfo
setClustersInfos(Map<String, ClusterInfo>) - Method in class org.deeplearning4j.clustering.cluster.info.ClusterSetInfo
setConf(NeuralNetConfiguration) - Method in class org.deeplearning4j.plot.BarnesHutTsne
setCorner(int, double) - Method in class org.deeplearning4j.clustering.sptree.Cell
setCorner(INDArray) - Method in class org.deeplearning4j.clustering.sptree.Cell
setCumSize(int) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
setCumSize(int) - Method in class org.deeplearning4j.clustering.sptree.SpTree
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.
setD(int) - Method in class org.deeplearning4j.clustering.sptree.DataPoint
setData(INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
setDistance(double) - Method in class org.deeplearning4j.clustering.sptree.HeapItem
setDistanceFromCenter(double) - Method in class org.deeplearning4j.clustering.cluster.PointClassification
setDistanceFunction(String) - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
setDistances(CounterMap<DataPoint, DataPoint>) - Method in class org.deeplearning4j.clustering.vptree.VPTree
setDistancesBetweenClustersCenters(Table<String, String, Double>) - Method in class org.deeplearning4j.clustering.cluster.info.ClusterSetInfo
setFilters(PlotFilters) - Method in class org.deeplearning4j.plot.iterationlistener.PlotFiltersIterationListener
setFinalMomentum(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
setFinalMomentum(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
setHh(double) - Method in class org.deeplearning4j.clustering.quadtree.Cell
setHw(double) - Method in class org.deeplearning4j.clustering.quadtree.Cell
setId(String) - Method in class org.deeplearning4j.clustering.cluster.Cluster
setId(String) - Method in class org.deeplearning4j.clustering.cluster.Point
setIndex(int) - Method in class org.deeplearning4j.clustering.algorithm.iteration.IterationInfo
setIndex(int) - Method in class org.deeplearning4j.clustering.sptree.DataPoint
setIndex(int) - Method in class org.deeplearning4j.clustering.sptree.HeapItem
setIndex(int) - Method in class org.deeplearning4j.clustering.vptree.VPTree.Node
setInitialClusterCount(Integer) - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
setInitialMomentum(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
setInitialMomentum(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
setInput(INDArray) - Method in class org.deeplearning4j.plot.PlotFilters
setInvert(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne
setItems(List<DataPoint>) - Method in class org.deeplearning4j.clustering.vptree.VPTree
setIteration(int) - Method in class org.deeplearning4j.plot.iterationlistener.ActivationMeanIterationListener
setIteration(int) - Method in class org.deeplearning4j.plot.iterationlistener.PlotFiltersIterationListener
setIterationsInfos(Map<Integer, IterationInfo>) - Method in class org.deeplearning4j.clustering.algorithm.iteration.IterationHistory
setLabel(String) - Method in class org.deeplearning4j.clustering.cluster.Cluster
setLabel(String) - Method in class org.deeplearning4j.clustering.cluster.Point
setLeaf(boolean) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
setLeft(KDTree.KDNode) - Method in class org.deeplearning4j.clustering.kdtree.KDTree.KDNode
setLeft(VPTree.Node) - Method in class org.deeplearning4j.clustering.vptree.VPTree.Node
setLogin(String) - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder
setMaxIter(int) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
setMaxIter(int) - Method in class org.deeplearning4j.plot.Tsne.Builder
setMaxPointDistanceFromCenter(double) - Method in class org.deeplearning4j.clustering.cluster.info.ClusterInfo
setMomentum(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
setMomentum(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
setNewLocation(boolean) - Method in class org.deeplearning4j.clustering.cluster.PointClassification
setNorthEast(QuadTree) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
setNorthWest(QuadTree) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
setNumberOfBuckets(int) - Method in class org.deeplearning4j.parallelism.MagicQueue.Builder
setNumChildren(int) - Method in class org.deeplearning4j.clustering.sptree.SpTree
setNumDimensions(int) - Method in class org.deeplearning4j.plot.BarnesHutTsne
setOptimizationPhaseCondition(ClusteringAlgorithmCondition) - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
setOutputFile(File) - Method in class org.deeplearning4j.plot.iterationlistener.ActivationMeanIterationListener
setOutputFile(File) - Method in class org.deeplearning4j.plot.iterationlistener.PlotFiltersIterationListener
setParam(String, INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
setParams(INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
setParamsViewArray(INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
setParamTable(Map<String, INDArray>) - Method in class org.deeplearning4j.plot.BarnesHutTsne
setParent(KDTree.KDNode) - Method in class org.deeplearning4j.clustering.kdtree.KDTree.KDNode
setParent(QuadTree) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
setPassword(String) - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder
setPath(String) - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder: If you're using UiServer as servlet, located not at root folder of webserver (i.e.
setPoint(INDArray) - Method in class org.deeplearning4j.clustering.sptree.DataPoint
setPointDistanceFromCenterVariance(double) - Method in class org.deeplearning4j.clustering.cluster.info.ClusterInfo
setPointDistancesFromCenter(Map<String, Double>) - Method in class org.deeplearning4j.clustering.cluster.info.ClusterInfo
setPointDistribution(Map<String, String>) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
setPointLocationChange(AtomicInteger) - Method in class org.deeplearning4j.clustering.cluster.info.ClusterSetInfo
setPoints(List<Point>) - Method in class org.deeplearning4j.clustering.cluster.Cluster
setPort(int) - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder
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
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
setRealMin(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
setRealMin(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
setRight(KDTree.KDNode) - Method in class org.deeplearning4j.clustering.kdtree.KDTree.KDNode
setRight(VPTree.Node) - Method in class org.deeplearning4j.clustering.vptree.VPTree.Node
setSessionId(String) - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder: This method allows you to specify sessionId for this UiConnectionInfo instance PLEASE NOTE: This is not recommended.
setSessionId(String) - Method in class org.deeplearning4j.ui.UiConnectionInfo
setSimiarlityFunction(String) - Method in class org.deeplearning4j.plot.BarnesHutTsne
setSize(int) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
setSouthEast(QuadTree) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
setSouthWest(QuadTree) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
setStrategyApplied(boolean) - Method in class org.deeplearning4j.clustering.algorithm.iteration.IterationInfo
setSwitchMomentumIteration(int) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
setSwitchMomentumIteration(int) - Method in class org.deeplearning4j.plot.Tsne.Builder
setTerminationCondition(ClusteringAlgorithmCondition) - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
setThreshold(double) - Method in class org.deeplearning4j.clustering.vptree.VPTree.Node
setTotalPointDistanceFromCenter(double) - Method in class org.deeplearning4j.clustering.cluster.info.ClusterInfo
setType(ClusteringOptimizationType) - Method in class org.deeplearning4j.clustering.algorithm.optimisation.ClusteringOptimization
setType(ClusteringStrategyType) - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
setup(ClusteringStrategy) - Static method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
setup(int, String) - Static method in class org.deeplearning4j.clustering.algorithm.strategy.FixedClusterCountStrategy
setup(int, String) - Static method in class org.deeplearning4j.clustering.algorithm.strategy.OptimisationStrategy
setup(int, int, String) - Static method in class org.deeplearning4j.clustering.kmeans.KMeansClustering
setup(int, double, String, boolean) - Static method in class org.deeplearning4j.clustering.kmeans.KMeansClustering
setValue(double) - Method in class org.deeplearning4j.clustering.algorithm.optimisation.ClusteringOptimization
setVariables(List<String>) - Method in class org.deeplearning4j.plot.iterationlistener.PlotFiltersIterationListener
setWidth(int, double) - Method in class org.deeplearning4j.clustering.sptree.Cell
setWidth(INDArray) - Method in class org.deeplearning4j.clustering.sptree.Cell
setX(double) - Method in class org.deeplearning4j.clustering.quadtree.Cell
setY(double) - Method in class org.deeplearning4j.clustering.quadtree.Cell
shuffle - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
shutdown() - Method in class org.deeplearning4j.parallelism.ParallelWrapper: This method
similarityFunction(String) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
size() - Method in class org.deeplearning4j.clustering.kdtree.KDTree: The number of elements in the tree
size() - Method in class org.deeplearning4j.parallelism.MagicQueue: This method returns average queue size for all devices
size(int) - Method in class org.deeplearning4j.parallelism.MagicQueue
splitClusters(ClusterSet, ClusterSetInfo, List<Cluster>, double, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
splitClusters(ClusterSet, ClusterSetInfo, List<Cluster>, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
splitClustersWhereAverageDistanceFromCenterGreaterThan(ClusterSet, ClusterSetInfo, double, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
splitClustersWhereMaximumDistanceFromCenterGreaterThan(ClusterSet, ClusterSetInfo, double, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
splitMostPopulatedClusters(ClusterSet, ClusterSetInfo, int, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
splitMostSpreadOutClusters(ClusterSet, ClusterSetInfo, int, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
SpTree - Class in org.deeplearning4j.clustering.sptree
SpTree(SpTree, INDArray, INDArray, INDArray, Set<INDArray>, String) - Constructor for class org.deeplearning4j.clustering.sptree.SpTree
SpTree(INDArray, Set<INDArray>, String) - Constructor for class org.deeplearning4j.clustering.sptree.SpTree
SpTree(SpTree, INDArray, INDArray, INDArray, Set<INDArray>) - Constructor for class org.deeplearning4j.clustering.sptree.SpTree
SpTree(INDArray, Set<INDArray>) - Constructor for class org.deeplearning4j.clustering.sptree.SpTree
SpTree(INDArray) - Constructor for class org.deeplearning4j.clustering.sptree.SpTree
start() - Method in class org.deeplearning4j.datasets.mnist.draw.DrawReconstruction
step(INDArray, int) - Method in class org.deeplearning4j.plot.BarnesHutTsne: An individual iteration
stopLyingIteration(int) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
stopLyingIteration - Variable in class org.deeplearning4j.plot.BarnesHutTsne
stopLyingIteration - Variable in class org.deeplearning4j.plot.Tsne.Builder
stopLyingIteration(int) - Method in class org.deeplearning4j.plot.Tsne.Builder
stopLyingIteration - Variable in class org.deeplearning4j.plot.Tsne
subDivide() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree: Create four children which fully divide this cell into four quads of equal area
subDivide() - Method in class org.deeplearning4j.clustering.sptree.SpTree: Subdivide the node in to 4 children
switchMomentumIteration - Variable in class org.deeplearning4j.plot.BarnesHutTsne
switchMomentumIteration - Variable in class org.deeplearning4j.plot.Tsne.Builder
switchMomentumIteration - Variable in class org.deeplearning4j.plot.Tsne
symmetrized(INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne: Symmetrize the value matrix

T

TEMP_ROOT - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
terminationCondition - Variable in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
TestDataSetIterator - Class in org.deeplearning4j.datasets.test: Track number of times the dataset iterator has been called
TestDataSetIterator(DataSetIterator) - Constructor for class org.deeplearning4j.datasets.test.TestDataSetIterator
testFileLabelsFilename_unzipped - Static variable in class org.deeplearning4j.base.MnistFetcher
testFilesFilename_unzipped - Static variable in class org.deeplearning4j.base.MnistFetcher
theta(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
title - Variable in class org.deeplearning4j.datasets.mnist.draw.DrawReconstruction
toArray() - Method in class org.deeplearning4j.parallelism.MagicQueue: This method isn't supported
toArray(T[]) - Method in class org.deeplearning4j.parallelism.MagicQueue: This method isn't supported
tolerance(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
tolerance - Variable in class org.deeplearning4j.plot.BarnesHutTsne
tolerance - Variable in class org.deeplearning4j.plot.Tsne.Builder
tolerance(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
tolerance - Variable in class org.deeplearning4j.plot.Tsne
toPoints(List<INDArray>) - Static method in class org.deeplearning4j.clustering.cluster.Point
totalExamples() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
totalExamples() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
totalExamples - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
totalExamples() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
totalOutcomes() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
totalOutcomes() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
totalOutcomes() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
train - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
trainingFileLabelsFilename_unzipped - Static variable in class org.deeplearning4j.base.MnistFetcher
trainingFilesFilename_unzipped - Static variable in class org.deeplearning4j.base.MnistFetcher
Tsne - Class in org.deeplearning4j.plot: dl4j port of original t-sne algorithm described/implemented by van der Maaten and Hinton
Tsne(int, double, double, double, double, double, int, boolean, boolean, int, double, double, boolean, double) - Constructor for class org.deeplearning4j.plot.Tsne
Tsne.Builder - Class in org.deeplearning4j.plot
type - Variable in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy

U

UiConnectionInfo - Class in org.deeplearning4j.ui: POJO describing the location and credentials for DL4j UiServer instance
UiConnectionInfo() - Constructor for class org.deeplearning4j.ui.UiConnectionInfo
UiConnectionInfo.Builder - Class in org.deeplearning4j.ui
update(Gradient) - Method in class org.deeplearning4j.plot.BarnesHutTsne
update(INDArray, String) - Method in class org.deeplearning4j.plot.BarnesHutTsne
useAdaGrad(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
useAdaGrad - Variable in class org.deeplearning4j.plot.BarnesHutTsne
useAdaGrad - Variable in class org.deeplearning4j.plot.Tsne.Builder
useAdaGrad(boolean) - Method in class org.deeplearning4j.plot.Tsne.Builder
useAdaGrad - Variable in class org.deeplearning4j.plot.Tsne
useCurrent - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
useLegacyAveraging(boolean) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder: If set to true, legacy averaging method is used.
usePca - Variable in class org.deeplearning4j.plot.BarnesHutTsne
usePca - Variable in class org.deeplearning4j.plot.Tsne.Builder
usePca(boolean) - Method in class org.deeplearning4j.plot.Tsne.Builder
usePca - Variable in class org.deeplearning4j.plot.Tsne

V

validateInput() - Method in class org.deeplearning4j.plot.BarnesHutTsne
valueOf(String) - Static method in enum org.deeplearning4j.clustering.algorithm.optimisation.ClusteringOptimizationType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategyType: Returns the enum constant of this type with the specified name.
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.
valueOf(String) - Static method in enum org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter.LabelingType: Returns the enum constant of this type with the specified name.
values() - Static method in enum org.deeplearning4j.clustering.algorithm.optimisation.ClusteringOptimizationType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategyType: 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.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.
values() - Static method in enum org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter.LabelingType: Returns an array containing the constants of this enum type, in the order they are declared.
VarianceVariationCondition - Class in org.deeplearning4j.clustering.algorithm.condition
VarianceVariationCondition(Condition, int) - Constructor for class org.deeplearning4j.clustering.algorithm.condition.VarianceVariationCondition
varianceVariationLessThan(double, int) - Static method in class org.deeplearning4j.clustering.algorithm.condition.VarianceVariationCondition
vectorize() - Method in interface org.deeplearning4j.datasets.vectorizer.Vectorizer: Vectorizes the input source in to a dataset
Vectorizer - Interface in org.deeplearning4j.datasets.vectorizer: A Vectorizer at its essence takes an input source and converts it to a matrix for neural network consumption.
VPTree - Class in org.deeplearning4j.clustering.vptree: Vantage point tree implementation
VPTree(INDArray, String, boolean) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
VPTree(List<DataPoint>, CounterMap<DataPoint, DataPoint>, String, boolean) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
VPTree(List<DataPoint>, String, boolean) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
VPTree(INDArray, String) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
VPTree(List<DataPoint>, CounterMap<DataPoint, DataPoint>, String) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
VPTree(List<DataPoint>, String) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
VPTree(INDArray) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
VPTree(List<DataPoint>, CounterMap<DataPoint, DataPoint>) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
VPTree(List<DataPoint>) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
VPTree.Node - Class in org.deeplearning4j.clustering.vptree

W

width(int) - Method in class org.deeplearning4j.clustering.sptree.Cell
width() - Method in class org.deeplearning4j.clustering.sptree.Cell
width - Static variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
workers(int) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder: This method allows to configure number of workers that'll be used for parallel training
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.

Y

Y - Variable in class org.deeplearning4j.plot.BarnesHutTsne
Y - Variable in class org.deeplearning4j.plot.Tsne
Y_GRAD - Static variable in class org.deeplearning4j.plot.BarnesHutTsne

A B C D E F G H I K L M N O P Q R S T U V W Y