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

A

ACCUM_GRADIENT - Static variable in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

ACCUM_GRADIENT - Static variable in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Add - Class in org.deeplearning4j.spark.impl.common

Adds 2 ndarrays

Add() - Constructor for class org.deeplearning4j.spark.impl.common.Add

addAccumulator(Double, Double) - Method in class org.deeplearning4j.spark.impl.common.BestScoreAccumulator

addAccumulator(Double, Double) - Method in class org.deeplearning4j.spark.impl.common.DoubleAccumulator

addAccumulator(INDArray, INDArray) - Method in class org.deeplearning4j.spark.impl.common.ParamAccumulator

Adder - Class in org.deeplearning4j.spark.impl.common

Adder(int, Accumulator<Integer>) - Constructor for class org.deeplearning4j.spark.impl.common.Adder

addInPlace(Double, Double) - Method in class org.deeplearning4j.spark.impl.common.BestScoreAccumulator

addInPlace(Double, Double) - Method in class org.deeplearning4j.spark.impl.common.DoubleAccumulator

addInPlace(INDArray, INDArray) - Method in class org.deeplearning4j.spark.impl.common.ParamAccumulator

AVERAGE_EACH_ITERATION - Static variable in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

AVERAGE_EACH_ITERATION - Static variable in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

B

BaseSparkEarlyStoppingTrainer<T extends Model> - Class in org.deeplearning4j.spark.earlystopping

Base/abstract class for conducting early stopping training via Spark, on a MultiLayerNetwork or a ComputationGraph

BaseSparkEarlyStoppingTrainer(SparkContext, EarlyStoppingConfiguration<T>, T, JavaRDD<DataSet>, JavaRDD<MultiDataSet>, int, int, int, EarlyStoppingListener<T>) - Constructor for class org.deeplearning4j.spark.earlystopping.BaseSparkEarlyStoppingTrainer

batchSize - Variable in class org.deeplearning4j.spark.canova.CanovaDataSetFunction

best_score_acc - Variable in class org.deeplearning4j.spark.impl.multilayer.IterativeReduceFlatMap

BestScoreAccumulator - Class in org.deeplearning4j.spark.impl.common

Accumulator which tracks best score seen.

BestScoreAccumulator() - Constructor for class org.deeplearning4j.spark.impl.common.BestScoreAccumulator

BestScoreIterationListener - Class in org.deeplearning4j.spark.impl.common

Iteration listener which sends score to BestScoreAcumulator Created by mlapan on 27/10/15.

BestScoreIterationListener(Accumulator<Double>) - Constructor for class org.deeplearning4j.spark.impl.common.BestScoreIterationListener

C

calculateScore(MultiLayerNetwork) - Method in class org.deeplearning4j.spark.earlystopping.SparkDataSetLossCalculator

calculateScore(ComputationGraph) - Method in class org.deeplearning4j.spark.earlystopping.SparkLossCalculatorComputationGraph

calculateScore(JavaRDD<MultiDataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

calculateScore(JavaRDD<DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

calculateScoreDataSet(JavaRDD<DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

call(Tuple2<Text, BytesWritable>) - Method in class org.deeplearning4j.spark.canova.CanovaByteDataSetFunction

call(Collection<Writable>) - Method in class org.deeplearning4j.spark.canova.CanovaDataSetFunction

call(Collection<Collection<Writable>>) - Method in class org.deeplearning4j.spark.canova.CanovaSequenceDataSetFunction

call(Tuple2<Collection<Collection<Writable>>, Collection<Collection<Writable>>>) - Method in class org.deeplearning4j.spark.canova.CanovaSequencePairDataSetFunction

call(Iterator<DataSet>) - Method in class org.deeplearning4j.spark.canova.RDDMiniBatches.MiniBatchFunction

call(String) - Method in class org.deeplearning4j.spark.canova.RecordReaderFunction

call(INDArray, INDArray) - Method in class org.deeplearning4j.spark.impl.common.Add

call(INDArray) - Method in class org.deeplearning4j.spark.impl.common.Adder

call(Gradient) - Method in class org.deeplearning4j.spark.impl.common.gradient.GradientAdder

call(Tuple3<Gradient, Updater, ScoreReport>) - Method in class org.deeplearning4j.spark.impl.common.misc.GradientFromTupleFunction

call(Tuple3<Gradient, ComputationGraphUpdater, ScoreReport>) - Method in class org.deeplearning4j.spark.impl.common.misc.GradientFromTupleFunctionCG

call(Tuple3<INDArray, Updater, ScoreReport>) - Method in class org.deeplearning4j.spark.impl.common.misc.INDArrayFromTupleFunction

call(Tuple3<INDArray, ComputationGraphUpdater, ScoreReport>) - Method in class org.deeplearning4j.spark.impl.common.misc.INDArrayFromTupleFunctionCG

call(Tuple3<Gradient, Updater, ScoreReport>) - Method in class org.deeplearning4j.spark.impl.common.misc.UpdaterFromGradientTupleFunction

call(Tuple3<Gradient, ComputationGraphUpdater, ScoreReport>) - Method in class org.deeplearning4j.spark.impl.common.misc.UpdaterFromGradientTupleFunctionCG

call(Tuple3<INDArray, Updater, ScoreReport>) - Method in class org.deeplearning4j.spark.impl.common.misc.UpdaterFromTupleFunction

call(Tuple3<INDArray, ComputationGraphUpdater, ScoreReport>) - Method in class org.deeplearning4j.spark.impl.common.misc.UpdaterFromTupleFunctionCG

call(UpdaterAggregator, UpdaterAggregator) - Method in class org.deeplearning4j.spark.impl.common.updater.UpdaterAggregatorCombiner

call(ComputationGraphUpdater.Aggregator, ComputationGraphUpdater.Aggregator) - Method in class org.deeplearning4j.spark.impl.common.updater.UpdaterAggregatorCombinerCG

call(UpdaterAggregator, Updater) - Method in class org.deeplearning4j.spark.impl.common.updater.UpdaterElementCombiner

call(ComputationGraphUpdater.Aggregator, ComputationGraphUpdater) - Method in class org.deeplearning4j.spark.impl.common.updater.UpdaterElementCombinerCG

call(DataSet) - Method in class org.deeplearning4j.spark.impl.computationgraph.dataset.DataSetToMultiDataSetFn

call(Tuple2<K, DataSet>) - Method in class org.deeplearning4j.spark.impl.computationgraph.dataset.PairDataSetToMultiDataSetFn

call(Iterator<MultiDataSet>) - Method in class org.deeplearning4j.spark.impl.computationgraph.gradientaccum.GradientAccumFlatMapCG

call(Iterator<MultiDataSet>) - Method in class org.deeplearning4j.spark.impl.computationgraph.IterativeReduceFlatMapCG

call(Iterator<DataSet>) - Method in class org.deeplearning4j.spark.impl.computationgraph.ScoreFlatMapFunctionCGDataSet

call(Iterator<MultiDataSet>) - Method in class org.deeplearning4j.spark.impl.computationgraph.ScoreFlatMapFunctionCGMultiDataSet

call(Iterator<MultiDataSet>) - Method in class org.deeplearning4j.spark.impl.computationgraph.scoring.ScoreExamplesFunction

call(Iterator<Tuple2<K, MultiDataSet>>) - Method in class org.deeplearning4j.spark.impl.computationgraph.scoring.ScoreExamplesWithKeyFunction

call(DataSet) - Method in class org.deeplearning4j.spark.impl.layer.DL4jWorker

call(Iterator<DataSet>) - Method in class org.deeplearning4j.spark.impl.layer.IterativeReduceFlatMap

call(Iterator<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.evaluation.EvaluateFlatMapFunction

call(Evaluation, Evaluation) - Method in class org.deeplearning4j.spark.impl.multilayer.evaluation.EvaluationReduceFunction

call(DataSet) - Method in class org.deeplearning4j.spark.impl.multilayer.gradientaccum.GradientAccum

call(Iterator<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.gradientaccum.GradientAccumFlatMap

call(DataSet) - Method in class org.deeplearning4j.spark.impl.multilayer.IterativeReduce

call(Iterator<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.IterativeReduceFlatMap

call(Iterator<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.ScoreFlatMapFunction

call(Iterator<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.scoring.ScoreExamplesFunction

call(Iterator<Tuple2<K, DataSet>>) - Method in class org.deeplearning4j.spark.impl.multilayer.scoring.ScoreExamplesWithKeyFunction

CanovaByteDataSetFunction - Class in org.deeplearning4j.spark.canova

Created by nyghtowl on 1/16/16.

CanovaByteDataSetFunction(int, int, int, int) - Constructor for class org.deeplearning4j.spark.canova.CanovaByteDataSetFunction

CanovaByteDataSetFunction(int, int, int, int, boolean) - Constructor for class org.deeplearning4j.spark.canova.CanovaByteDataSetFunction

CanovaByteDataSetFunction(int, int, int, int, boolean, DataSetPreProcessor) - Constructor for class org.deeplearning4j.spark.canova.CanovaByteDataSetFunction

CanovaDataSetFunction - Class in org.deeplearning4j.spark.canova

Map Collection<Writable> objects (out of a canova-spark record reader function) to DataSet objects for Spark training.

CanovaDataSetFunction(int, int, boolean) - Constructor for class org.deeplearning4j.spark.canova.CanovaDataSetFunction

CanovaDataSetFunction(int, int, boolean, DataSetPreProcessor, WritableConverter) - Constructor for class org.deeplearning4j.spark.canova.CanovaDataSetFunction

CanovaSequenceDataSetFunction - Class in org.deeplearning4j.spark.canova

Map Collection<Collection<Writable>> objects (out of a canova-spark sequence record reader function) to DataSet objects for Spark training.

CanovaSequenceDataSetFunction(int, int, boolean) - Constructor for class org.deeplearning4j.spark.canova.CanovaSequenceDataSetFunction

CanovaSequenceDataSetFunction(int, int, boolean, DataSetPreProcessor, WritableConverter) - Constructor for class org.deeplearning4j.spark.canova.CanovaSequenceDataSetFunction

CanovaSequencePairDataSetFunction - Class in org.deeplearning4j.spark.canova

Map Tuple2<Collection<Collection<Writable>>,Collection<Collection<Writable>> objects (out of a TWO canova-spark sequence record reader functions) to DataSet objects for Spark training.

CanovaSequencePairDataSetFunction() - Constructor for class org.deeplearning4j.spark.canova.CanovaSequencePairDataSetFunction

Constructor for equal length and no conversion of labels (i.e., regression or already in one-hot representation).

CanovaSequencePairDataSetFunction(int, boolean) - Constructor for class org.deeplearning4j.spark.canova.CanovaSequencePairDataSetFunction

Constructor for equal length, no data set preprocessor or writable converter

CanovaSequencePairDataSetFunction(int, boolean, CanovaSequencePairDataSetFunction.AlignmentMode) - Constructor for class org.deeplearning4j.spark.canova.CanovaSequencePairDataSetFunction

Constructor for data with a specified alignment mode, no data set preprocessor or writable converter

CanovaSequencePairDataSetFunction(int, boolean, CanovaSequencePairDataSetFunction.AlignmentMode, DataSetPreProcessor, WritableConverter) - Constructor for class org.deeplearning4j.spark.canova.CanovaSequencePairDataSetFunction

CanovaSequencePairDataSetFunction.AlignmentMode - Enum in org.deeplearning4j.spark.canova

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

compare(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering

create(SparkContext) - Static method in class org.deeplearning4j.spark.impl.common.BestScoreAccumulator

create(SparkContext, String) - Static method in class org.deeplearning4j.spark.impl.common.DoubleAccumulator

D

DataSetOrdering - Class in org.deeplearning4j.spark.ordering

Orders by data set size.

DataSetOrdering() - Constructor for class org.deeplearning4j.spark.ordering.DataSetOrdering

DataSetToMultiDataSetFn - Class in org.deeplearning4j.spark.impl.computationgraph.dataset

Convert a JavaRDD<DataSet> to a JavaRDD<MultiDataSet>

DataSetToMultiDataSetFn() - Constructor for class org.deeplearning4j.spark.impl.computationgraph.dataset.DataSetToMultiDataSetFn

DEFAULT_EVAL_SCORE_BATCH_SIZE - Static variable in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

DEFAULT_EVAL_SCORE_BATCH_SIZE - Static variable in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

DIVIDE_ACCUM_GRADIENT - Static variable in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

DIVIDE_ACCUM_GRADIENT - Static variable in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

DL4jWorker - Class in org.deeplearning4j.spark.impl.layer

This is considered the "Worker" This is the code that will run the .fitDataSet() method on the network the issue here is that this is getting called 1x per record and before we could call it in a more controlled mini-batch setting

DL4jWorker(String, INDArray) - Constructor for class org.deeplearning4j.spark.impl.layer.DL4jWorker

DoubleAccumulator - Class in org.deeplearning4j.spark.impl.common

Created by nyghtowl on 1/14/16.

DoubleAccumulator() - Constructor for class org.deeplearning4j.spark.impl.common.DoubleAccumulator

E

equiv(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering

evalBatchSize - Variable in class org.deeplearning4j.spark.impl.multilayer.evaluation.EvaluateFlatMapFunction

evaluate(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Evaluate the network (classification performance) in a distributed manner on the provided data

evaluate(JavaRDD<DataSet>, List<String>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Evaluate the network (classification performance) in a distributed manner, using default batch size and a provided list of labels

evaluate(JavaRDD<DataSet>, List<String>, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Evaluate the network (classification performance) in a distributed manner, using specified batch size and a provided list of labels

EvaluateFlatMapFunction - Class in org.deeplearning4j.spark.impl.multilayer.evaluation

Function to evaluate data (classification), in a distributed manner Flat map function used to batch examples for computational efficiency + reduce number of Evaluation objects returned for network efficiency.

EvaluateFlatMapFunction(Broadcast<String>, Broadcast<INDArray>, int, Broadcast<List<String>>) - Constructor for class org.deeplearning4j.spark.impl.multilayer.evaluation.EvaluateFlatMapFunction

EvaluationReduceFunction - Class in org.deeplearning4j.spark.impl.multilayer.evaluation

Created by nyghtowl on 1/13/16.

EvaluationReduceFunction() - Constructor for class org.deeplearning4j.spark.impl.multilayer.evaluation.EvaluationReduceFunction

examplesPerFit - Variable in class org.deeplearning4j.spark.earlystopping.BaseSparkEarlyStoppingTrainer

F

fit(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.earlystopping.BaseSparkEarlyStoppingTrainer

fit() - Method in class org.deeplearning4j.spark.earlystopping.BaseSparkEarlyStoppingTrainer

fit(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingGraphTrainer

fit(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingTrainer

fit(String, int, RecordReader, int, int, int) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

Train a ComputationGraph network based on data loaded from a text file + RecordReader.

fit(String, int, RecordReader) - Method in class org.deeplearning4j.spark.impl.layer.SparkDl4jLayer

Fit the layer based on the specified org.deeplearning4j.spark context text file

fit(JavaSparkContext, JavaRDD<LabeledPoint>) - Method in class org.deeplearning4j.spark.impl.layer.SparkDl4jLayer

Fit the given rdd given the context.

fit(String, int, RecordReader) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Train a multi layer network based on data loaded from a text file + RecordReader.

fit(String, int, RecordReader, int, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Train a multi layer network based on data loaded from a text file + RecordReader.

fit(String, int, RecordReader, int, int, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Train a multi layer network based on data loaded from a text file + RecordReader.

fit(JavaRDD<LabeledPoint>, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Fit the given rdd given the context.

fit(JavaSparkContext, JavaRDD<LabeledPoint>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Fit the given rdd given the context.

fitDataSet(JavaRDD<DataSet>, int, int, int) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

DataSet version of SparkComputationGraph.fitMultiDataSet(JavaRDD, int, int, int).

fitDataSet(JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

Fit the dataset rdd

fitDataSet(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.layer.SparkDl4jLayer

Fit a java rdd of dataset

fitDataSet(JavaRDD<DataSet>, int, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Equivalent to SparkDl4jMultiLayer.fitDataSet(JavaRDD, int, int, int), but persist and count the size of the data set first, instead of requiring the data set size to be provided externally.

fitDataSet(JavaRDD<DataSet>, int, int, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Fit the data, splitting into smaller data subsets if necessary.

fitDataSet(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Fit the dataset rdd

fitMulti(JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.earlystopping.BaseSparkEarlyStoppingTrainer

fitMulti(JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingGraphTrainer

fitMulti(JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingTrainer

fitMultiDataSet(JavaRDD<MultiDataSet>, int, int, int) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

Fit the data, splitting into smaller data subsets if necessary.

fromBinary(JavaPairRDD<String, PortableDataStream>, RecordReader) - Static method in class org.deeplearning4j.spark.util.MLLibUtil

Convert a traditional sc.binaryFiles in to something usable for machine learning

fromBinary(JavaRDD<Tuple2<String, PortableDataStream>>, RecordReader) - Static method in class org.deeplearning4j.spark.util.MLLibUtil

Convert a traditional sc.binaryFiles in to something usable for machine learning

fromDataSet(JavaSparkContext, JavaRDD<DataSet>) - Static method in class org.deeplearning4j.spark.util.MLLibUtil

Convert an rdd of data set in to labeled point

fromLabeledPoint(JavaRDD<LabeledPoint>, int, int) - Static method in class org.deeplearning4j.spark.util.MLLibUtil

Convert an rdd of labeled point based on the specified batch size in to data set

fromLabeledPoint(JavaSparkContext, JavaRDD<LabeledPoint>, int) - Static method in class org.deeplearning4j.spark.util.MLLibUtil

From labeled point

G

getAccumulator() - Method in class org.deeplearning4j.spark.impl.common.Adder

getAccumulator() - Method in class org.deeplearning4j.spark.impl.common.gradient.GradientAdder

getCounter() - Method in class org.deeplearning4j.spark.impl.common.Adder

getNetwork() - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

getNetwork() - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

getScore() - Method in class org.deeplearning4j.spark.earlystopping.BaseSparkEarlyStoppingTrainer

getScore() - Method in class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingGraphTrainer

getScore() - Method in class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingTrainer

getScore() - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

Gets the last (average) minibatch score from calling fit

getScore() - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Gets the last (average) minibatch score from calling fit

GradientAccum - Class in org.deeplearning4j.spark.impl.multilayer.gradientaccum

Runs iterative reduce on the dataset

GradientAccum(Broadcast<INDArray>, String) - Constructor for class org.deeplearning4j.spark.impl.multilayer.gradientaccum.GradientAccum

Train and average over mini batches from a dataset

GradientAccumFlatMap - Class in org.deeplearning4j.spark.impl.multilayer.gradientaccum

Iterative reduce with flat map using map partitions

GradientAccumFlatMap(String, Broadcast<INDArray>, Broadcast<Updater>) - Constructor for class org.deeplearning4j.spark.impl.multilayer.gradientaccum.GradientAccumFlatMap

Pass in json configuration and baseline parameters

GradientAccumFlatMapCG - Class in org.deeplearning4j.spark.impl.computationgraph.gradientaccum

Iterative reduce with flat map using map partitions

GradientAccumFlatMapCG(String, Broadcast<INDArray>, Broadcast<ComputationGraphUpdater>) - Constructor for class org.deeplearning4j.spark.impl.computationgraph.gradientaccum.GradientAccumFlatMapCG

Pass in json configuration and baseline parameters

GradientAdder - Class in org.deeplearning4j.spark.impl.common.gradient

Created by agibsonccc on 9/27/15.

GradientAdder(int) - Constructor for class org.deeplearning4j.spark.impl.common.gradient.GradientAdder

GradientFromTupleFunction - Class in org.deeplearning4j.spark.impl.common.misc

GradientFromTupleFunction() - Constructor for class org.deeplearning4j.spark.impl.common.misc.GradientFromTupleFunction

GradientFromTupleFunctionCG - Class in org.deeplearning4j.spark.impl.common.misc

GradientFromTupleFunctionCG() - Constructor for class org.deeplearning4j.spark.impl.common.misc.GradientFromTupleFunctionCG

gt(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering

gteq(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering

I

INDArrayFromTupleFunction - Class in org.deeplearning4j.spark.impl.common.misc

INDArrayFromTupleFunction() - Constructor for class org.deeplearning4j.spark.impl.common.misc.INDArrayFromTupleFunction

INDArrayFromTupleFunctionCG - Class in org.deeplearning4j.spark.impl.common.misc

INDArrayFromTupleFunctionCG() - Constructor for class org.deeplearning4j.spark.impl.common.misc.INDArrayFromTupleFunctionCG

invoke() - Method in class org.deeplearning4j.spark.impl.common.BestScoreIterationListener

invoked() - Method in class org.deeplearning4j.spark.impl.common.BestScoreIterationListener

invokeListeners(ComputationGraph, int) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

invokeListeners(MultiLayerNetwork, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

iterationDone(Model, int) - Method in class org.deeplearning4j.spark.impl.common.BestScoreIterationListener

IterativeReduce - Class in org.deeplearning4j.spark.impl.multilayer

Runs iterative reduce on the dataset

IterativeReduce(Broadcast<INDArray>, String) - Constructor for class org.deeplearning4j.spark.impl.multilayer.IterativeReduce

Train and average over mini batches from a dataset

IterativeReduceFlatMap - Class in org.deeplearning4j.spark.impl.layer

Iterative reduce with flat map using map partitions

IterativeReduceFlatMap(String, Broadcast<INDArray>) - Constructor for class org.deeplearning4j.spark.impl.layer.IterativeReduceFlatMap

Pass in json configuration and baseline parameters

IterativeReduceFlatMap - Class in org.deeplearning4j.spark.impl.multilayer

Iterative reduce with flat map using map partitions

IterativeReduceFlatMap(String, Broadcast<INDArray>, Broadcast<Updater>, Accumulator<Double>) - Constructor for class org.deeplearning4j.spark.impl.multilayer.IterativeReduceFlatMap

Pass in network configuration as json, broadcast parameters, broadcast updater and the bestScore to fit mapped data set and update and return parameters, updater and best score.

IterativeReduceFlatMapCG - Class in org.deeplearning4j.spark.impl.computationgraph

Iterative reduce for ComputationGraph with flat map using map partitions

IterativeReduceFlatMapCG(String, Broadcast<INDArray>, Broadcast<ComputationGraphUpdater>) - Constructor for class org.deeplearning4j.spark.impl.computationgraph.IterativeReduceFlatMapCG

Pass in json configuration and baseline parameters

J

json - Variable in class org.deeplearning4j.spark.impl.multilayer.evaluation.EvaluateFlatMapFunction

json - Variable in class org.deeplearning4j.spark.impl.multilayer.IterativeReduceFlatMap

L

labels - Variable in class org.deeplearning4j.spark.impl.multilayer.evaluation.EvaluateFlatMapFunction

log - Static variable in class org.deeplearning4j.spark.impl.computationgraph.IterativeReduceFlatMapCG

log - Static variable in class org.deeplearning4j.spark.impl.computationgraph.scoring.ScoreExamplesFunction

log - Static variable in class org.deeplearning4j.spark.impl.computationgraph.scoring.ScoreExamplesWithKeyFunction

log - Static variable in class org.deeplearning4j.spark.impl.multilayer.evaluation.EvaluateFlatMapFunction

log - Static variable in class org.deeplearning4j.spark.impl.multilayer.evaluation.EvaluationReduceFunction

log - Static variable in class org.deeplearning4j.spark.impl.multilayer.IterativeReduceFlatMap

log - Static variable in class org.deeplearning4j.spark.impl.multilayer.scoring.ScoreExamplesFunction

log - Static variable in class org.deeplearning4j.spark.impl.multilayer.scoring.ScoreExamplesWithKeyFunction

lt(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering

lteq(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering

M

max(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering

min(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering

miniBatchesJava() - Method in class org.deeplearning4j.spark.canova.RDDMiniBatches

MiniBatchFunction(int) - Constructor for class org.deeplearning4j.spark.canova.RDDMiniBatches.MiniBatchFunction

mkOrderingOps(DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering

MLLibUtil - Class in org.deeplearning4j.spark.util

Dl4j <----> MLLib

MLLibUtil() - Constructor for class org.deeplearning4j.spark.util.MLLibUtil

N

NAME - Static variable in class org.deeplearning4j.spark.impl.common.BestScoreAccumulator

name() - Method in class org.deeplearning4j.spark.impl.common.SumAccum

numPartitions - Variable in class org.deeplearning4j.spark.earlystopping.BaseSparkEarlyStoppingTrainer

O

on(Function1<U, DataSet>) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering

org.deeplearning4j.spark.canova - package org.deeplearning4j.spark.canova

org.deeplearning4j.spark.earlystopping - package org.deeplearning4j.spark.earlystopping

org.deeplearning4j.spark.impl.common - package org.deeplearning4j.spark.impl.common

org.deeplearning4j.spark.impl.common.gradient - package org.deeplearning4j.spark.impl.common.gradient

org.deeplearning4j.spark.impl.common.misc - package org.deeplearning4j.spark.impl.common.misc

org.deeplearning4j.spark.impl.common.updater - package org.deeplearning4j.spark.impl.common.updater

org.deeplearning4j.spark.impl.computationgraph - package org.deeplearning4j.spark.impl.computationgraph

org.deeplearning4j.spark.impl.computationgraph.dataset - package org.deeplearning4j.spark.impl.computationgraph.dataset

org.deeplearning4j.spark.impl.computationgraph.gradientaccum - package org.deeplearning4j.spark.impl.computationgraph.gradientaccum

org.deeplearning4j.spark.impl.computationgraph.scoring - package org.deeplearning4j.spark.impl.computationgraph.scoring

org.deeplearning4j.spark.impl.layer - package org.deeplearning4j.spark.impl.layer

org.deeplearning4j.spark.impl.multilayer - package org.deeplearning4j.spark.impl.multilayer

org.deeplearning4j.spark.impl.multilayer.evaluation - package org.deeplearning4j.spark.impl.multilayer.evaluation

org.deeplearning4j.spark.impl.multilayer.gradientaccum - package org.deeplearning4j.spark.impl.multilayer.gradientaccum

org.deeplearning4j.spark.impl.multilayer.scoring - package org.deeplearning4j.spark.impl.multilayer.scoring

org.deeplearning4j.spark.ordering - package org.deeplearning4j.spark.ordering

org.deeplearning4j.spark.util - package org.deeplearning4j.spark.util

P

PairDataSetToMultiDataSetFn<K> - Class in org.deeplearning4j.spark.impl.computationgraph.dataset

Simple conversion function to convert from a JavaPairRDD<K,DataSet> to a JavaPairRDD<K,MultiDataSet>

PairDataSetToMultiDataSetFn() - Constructor for class org.deeplearning4j.spark.impl.computationgraph.dataset.PairDataSetToMultiDataSetFn

ParamAccumulator - Class in org.deeplearning4j.spark.impl.common

Accumulator for addition of parameters

ParamAccumulator() - Constructor for class org.deeplearning4j.spark.impl.common.ParamAccumulator

params - Variable in class org.deeplearning4j.spark.impl.multilayer.evaluation.EvaluateFlatMapFunction

params - Variable in class org.deeplearning4j.spark.impl.multilayer.IterativeReduceFlatMap

pointOf(Collection<Writable>) - Static method in class org.deeplearning4j.spark.util.MLLibUtil

Returns a labeled point of the writables where the final item is the point and the rest of the items are features

predict(Matrix) - Method in class org.deeplearning4j.spark.impl.layer.SparkDl4jLayer

Predict the given feature matrix

predict(Vector) - Method in class org.deeplearning4j.spark.impl.layer.SparkDl4jLayer

Predict the given vector

predict(Matrix) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Predict the given feature matrix

predict(Vector) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Predict the given vector

R

RDDMiniBatches - Class in org.deeplearning4j.spark.canova

RDD mini batch partitioning

RDDMiniBatches(int, JavaRDD<DataSet>) - Constructor for class org.deeplearning4j.spark.canova.RDDMiniBatches

RDDMiniBatches.MiniBatchFunction - Class in org.deeplearning4j.spark.canova

RecordReaderFunction - Class in org.deeplearning4j.spark.canova

Turn a string in to a dataset based on a record reader

RecordReaderFunction(RecordReader, int, int, WritableConverter) - Constructor for class org.deeplearning4j.spark.canova.RecordReaderFunction

RecordReaderFunction(RecordReader, int, int) - Constructor for class org.deeplearning4j.spark.canova.RecordReaderFunction

reverse() - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering

runIteration(JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

runIteration(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

S

scoreExamples(JavaRDD<MultiDataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

Score the examples individually, using the default batch size SparkComputationGraph.DEFAULT_EVAL_SCORE_BATCH_SIZE.

scoreExamples(JavaRDD<MultiDataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

Score the examples individually, using a specified batch size.

scoreExamples(JavaPairRDD<K, MultiDataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

Score the examples individually, using the default batch size SparkComputationGraph.DEFAULT_EVAL_SCORE_BATCH_SIZE.

scoreExamples(JavaPairRDD<K, MultiDataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

Score the examples individually, using a specified batch size.

scoreExamples(JavaRDD<DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Score the examples individually, using the default batch size SparkDl4jMultiLayer.DEFAULT_EVAL_SCORE_BATCH_SIZE.

scoreExamples(JavaRDD<DataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Score the examples individually, using a specified batch size.

scoreExamples(JavaPairRDD<K, DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Score the examples individually, using the default batch size SparkDl4jMultiLayer.DEFAULT_EVAL_SCORE_BATCH_SIZE.

scoreExamples(JavaPairRDD<K, DataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Score the examples individually, using a specified batch size.

scoreExamplesDataSet(JavaRDD<DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

DataSet version of SparkComputationGraph.scoreExamples(JavaRDD, boolean)

scoreExamplesDataSet(JavaRDD<DataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

DataSet version of SparkComputationGraph.scoreExamples(JavaPairRDD, boolean, int)

scoreExamplesDataSet(JavaPairRDD<K, DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

DataSet version of SparkComputationGraph.scoreExamples(JavaPairRDD, boolean)

scoreExamplesDataSet(JavaPairRDD<K, DataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

DataSet version of SparkComputationGraph.scoreExamples(JavaPairRDD, boolean,int)

ScoreExamplesFunction - Class in org.deeplearning4j.spark.impl.computationgraph.scoring

Function to score examples individually.

ScoreExamplesFunction(Broadcast<INDArray>, Broadcast<String>, boolean, int) - Constructor for class org.deeplearning4j.spark.impl.computationgraph.scoring.ScoreExamplesFunction

ScoreExamplesFunction - Class in org.deeplearning4j.spark.impl.multilayer.scoring

Function to score examples individually.

ScoreExamplesFunction(Broadcast<INDArray>, Broadcast<String>, boolean, int) - Constructor for class org.deeplearning4j.spark.impl.multilayer.scoring.ScoreExamplesFunction

ScoreExamplesWithKeyFunction<K> - Class in org.deeplearning4j.spark.impl.computationgraph.scoring

Function to score examples individually, where each example is associated with a particular key
Note that scoring is batched for computational efficiency.
This is the Spark implementation of the ComputationGraph.scoreExamples(MultiDataSet, boolean) method
Note: The MultiDataSet objects passed in must have exactly one example in them (otherwise: can't have a 1:1 association between keys and data sets to score)

ScoreExamplesWithKeyFunction(Broadcast<INDArray>, Broadcast<String>, boolean, int) - Constructor for class org.deeplearning4j.spark.impl.computationgraph.scoring.ScoreExamplesWithKeyFunction

ScoreExamplesWithKeyFunction<K> - Class in org.deeplearning4j.spark.impl.multilayer.scoring

Function to score examples individually, where each example is associated with a particular key
Note that scoring is batched for computational efficiency.
This is the Spark implementation of t he MultiLayerNetwork.scoreExamples(DataSet, boolean) method
Note: The DataSet objects passed in must have exactly one example in them (otherwise: can't have a 1:1 association between keys and data sets to score)

ScoreExamplesWithKeyFunction(Broadcast<INDArray>, Broadcast<String>, boolean, int) - Constructor for class org.deeplearning4j.spark.impl.multilayer.scoring.ScoreExamplesWithKeyFunction

ScoreFlatMapFunction - Class in org.deeplearning4j.spark.impl.multilayer

ScoreFlatMapFunction(String, Broadcast<INDArray>) - Constructor for class org.deeplearning4j.spark.impl.multilayer.ScoreFlatMapFunction

ScoreFlatMapFunctionCGDataSet - Class in org.deeplearning4j.spark.impl.computationgraph

Function used to score a DataSet using a ComputationGraph

ScoreFlatMapFunctionCGDataSet(String, Broadcast<INDArray>) - Constructor for class org.deeplearning4j.spark.impl.computationgraph.ScoreFlatMapFunctionCGDataSet

ScoreFlatMapFunctionCGMultiDataSet - Class in org.deeplearning4j.spark.impl.computationgraph

Function used to score a MultiDataSet using a given ComputationGraph

ScoreFlatMapFunctionCGMultiDataSet(String, Broadcast<INDArray>) - Constructor for class org.deeplearning4j.spark.impl.computationgraph.ScoreFlatMapFunctionCGMultiDataSet

ScoreReport - Class in org.deeplearning4j.spark.impl.common.misc

ScoreReport() - Constructor for class org.deeplearning4j.spark.impl.common.misc.ScoreReport

SerializationTester - Class in org.deeplearning4j.spark.util

Test serialization

SerializationTester() - Constructor for class org.deeplearning4j.spark.util.SerializationTester

setAccumulator(SumAccum) - Method in class org.deeplearning4j.spark.impl.common.Adder

setAccumulator(SumAccum) - Method in class org.deeplearning4j.spark.impl.common.gradient.GradientAdder

setCounter(Accumulator<Integer>) - Method in class org.deeplearning4j.spark.impl.common.Adder

setListener(EarlyStoppingListener<T>) - Method in class org.deeplearning4j.spark.earlystopping.BaseSparkEarlyStoppingTrainer

setListeners(Collection<IterationListener>) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

This method allows you to specify IterationListeners for this model.

setListeners(Collection<IterationListener>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

This method allows you to specify IterationListeners for this model.

setNetwork(ComputationGraph) - Method in class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

setNetwork(MultiLayerNetwork) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

SparkComputationGraph - Class in org.deeplearning4j.spark.impl.computationgraph

Main class for training ComputationGraph networks using Spark

SparkComputationGraph(SparkContext, ComputationGraph) - Constructor for class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

Instantiate a ComputationGraph instance with the given context and network.

SparkComputationGraph(JavaSparkContext, ComputationGraph) - Constructor for class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

SparkComputationGraph(SparkContext, ComputationGraphConfiguration) - Constructor for class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

SparkComputationGraph(JavaSparkContext, ComputationGraphConfiguration) - Constructor for class org.deeplearning4j.spark.impl.computationgraph.SparkComputationGraph

SparkDataSetLossCalculator - Class in org.deeplearning4j.spark.earlystopping

Score calculator to calculate the total loss for the MultiLayerNetwork on that data set (data set as a JavaRDD), using Spark.

SparkDataSetLossCalculator(JavaRDD<DataSet>, boolean, SparkContext) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkDataSetLossCalculator

Calculate the score (loss function value) on a given data set (usually a test set)

SparkDl4jLayer - Class in org.deeplearning4j.spark.impl.layer

Master class for org.deeplearning4j.spark layers

SparkDl4jLayer(SparkContext, NeuralNetConfiguration) - Constructor for class org.deeplearning4j.spark.impl.layer.SparkDl4jLayer

SparkDl4jLayer(JavaSparkContext, NeuralNetConfiguration) - Constructor for class org.deeplearning4j.spark.impl.layer.SparkDl4jLayer

SparkDl4jMultiLayer - Class in org.deeplearning4j.spark.impl.multilayer

Master class for spark

SparkDl4jMultiLayer(SparkContext, MultiLayerNetwork) - Constructor for class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Instantiate a multi layer spark instance with the given context and network.

SparkDl4jMultiLayer(JavaSparkContext, MultiLayerNetwork) - Constructor for class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

SparkDl4jMultiLayer(SparkContext, MultiLayerConfiguration) - Constructor for class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Training constructor.

SparkDl4jMultiLayer(JavaSparkContext, MultiLayerConfiguration) - Constructor for class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Training constructor.

SparkEarlyStoppingGraphTrainer - Class in org.deeplearning4j.spark.earlystopping

Class for conducting early stopping training via Spark on a ComputationGraph

SparkEarlyStoppingGraphTrainer(SparkContext, EarlyStoppingConfiguration<ComputationGraph>, ComputationGraph, JavaRDD<MultiDataSet>, int, int) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingGraphTrainer

SparkEarlyStoppingGraphTrainer(SparkContext, EarlyStoppingConfiguration<ComputationGraph>, ComputationGraph, JavaRDD<MultiDataSet>, int, int, int) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingGraphTrainer

SparkEarlyStoppingGraphTrainer(SparkContext, EarlyStoppingConfiguration<ComputationGraph>, ComputationGraph, JavaRDD<MultiDataSet>, int, int, EarlyStoppingListener<ComputationGraph>) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingGraphTrainer

SparkEarlyStoppingGraphTrainer(SparkContext, EarlyStoppingConfiguration<ComputationGraph>, ComputationGraph, JavaRDD<MultiDataSet>, int, int, int, EarlyStoppingListener<ComputationGraph>) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingGraphTrainer

SparkEarlyStoppingTrainer - Class in org.deeplearning4j.spark.earlystopping

Class for conducting early stopping training via Spark on a MultiLayerNetwork

SparkEarlyStoppingTrainer(SparkContext, EarlyStoppingConfiguration<MultiLayerNetwork>, MultiLayerNetwork, JavaRDD<DataSet>, int, int) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingTrainer

SparkEarlyStoppingTrainer(SparkContext, EarlyStoppingConfiguration<MultiLayerNetwork>, MultiLayerNetwork, JavaRDD<DataSet>, int, int, EarlyStoppingListener<MultiLayerNetwork>) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingTrainer

SparkEarlyStoppingTrainer(SparkContext, EarlyStoppingConfiguration<MultiLayerNetwork>, MultiLayerNetwork, JavaRDD<DataSet>, int, int, int) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingTrainer

SparkEarlyStoppingTrainer(SparkContext, EarlyStoppingConfiguration<MultiLayerNetwork>, MultiLayerNetwork, JavaRDD<DataSet>, int, int, int, EarlyStoppingListener<MultiLayerNetwork>) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingTrainer

SparkLossCalculatorComputationGraph - Class in org.deeplearning4j.spark.earlystopping

Score calculator to calculate the total loss for the ComputationGraph on that data set (data set as a JavaRDD), using Spark.
Typically used to calculate the loss on a test set.
Note: to test a ComputationGraph on a DataSet use DataSetToMultiDataSetFn

SparkLossCalculatorComputationGraph(JavaRDD<MultiDataSet>, boolean, SparkContext) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkLossCalculatorComputationGraph

Calculate the score (loss function value) on a given data set (usually a test set)

SumAccum - Class in org.deeplearning4j.spark.impl.common

SumAccum(int) - Constructor for class org.deeplearning4j.spark.impl.common.SumAccum

T

testSerialization(ActorSystem, Object) - Static method in class org.deeplearning4j.spark.util.SerializationTester

Testing akka serialization

testSerialization(Object) - Static method in class org.deeplearning4j.spark.util.SerializationTester

Test serialization

toClassifierPrediction(Vector) - Static method in class org.deeplearning4j.spark.util.MLLibUtil

This is for the edge case where you have a single output layer and need to convert the output layer to an index

toMatrix(Matrix) - Static method in class org.deeplearning4j.spark.util.MLLibUtil

Convert an ndarray to a matrix.

toMatrix(INDArray) - Static method in class org.deeplearning4j.spark.util.MLLibUtil

Convert an ndarray to a matrix.

totalExamples - Variable in class org.deeplearning4j.spark.earlystopping.BaseSparkEarlyStoppingTrainer

toVector(Vector) - Static method in class org.deeplearning4j.spark.util.MLLibUtil

Convert an ndarray to a vector

toVector(INDArray) - Static method in class org.deeplearning4j.spark.util.MLLibUtil

Convert an ndarray to a vector

train(JavaRDD<LabeledPoint>, NeuralNetConfiguration) - Static method in class org.deeplearning4j.spark.impl.layer.SparkDl4jLayer

Train a multi layer network

train(JavaRDD<LabeledPoint>, MultiLayerConfiguration) - Static method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer

Train a multi layer network

tryCompare(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering

U

updater - Variable in class org.deeplearning4j.spark.impl.multilayer.IterativeReduceFlatMap

UpdaterAggregatorCombiner - Class in org.deeplearning4j.spark.impl.common.updater

Simple function to combine UpdaterAggregators

UpdaterAggregatorCombiner() - Constructor for class org.deeplearning4j.spark.impl.common.updater.UpdaterAggregatorCombiner

UpdaterAggregatorCombinerCG - Class in org.deeplearning4j.spark.impl.common.updater

Simple function to combine ComputationGrapuhUpdater.Aggregators

UpdaterAggregatorCombinerCG() - Constructor for class org.deeplearning4j.spark.impl.common.updater.UpdaterAggregatorCombinerCG

UpdaterElementCombiner - Class in org.deeplearning4j.spark.impl.common.updater

Simple function to add ad Updater to an UpdaterAggregator

UpdaterElementCombiner() - Constructor for class org.deeplearning4j.spark.impl.common.updater.UpdaterElementCombiner

UpdaterElementCombinerCG - Class in org.deeplearning4j.spark.impl.common.updater

Simple function to add an Updater to an UpdaterAggregator

UpdaterElementCombinerCG() - Constructor for class org.deeplearning4j.spark.impl.common.updater.UpdaterElementCombinerCG

UpdaterFromGradientTupleFunction - Class in org.deeplearning4j.spark.impl.common.misc

UpdaterFromGradientTupleFunction() - Constructor for class org.deeplearning4j.spark.impl.common.misc.UpdaterFromGradientTupleFunction

UpdaterFromGradientTupleFunctionCG - Class in org.deeplearning4j.spark.impl.common.misc

UpdaterFromGradientTupleFunctionCG() - Constructor for class org.deeplearning4j.spark.impl.common.misc.UpdaterFromGradientTupleFunctionCG

UpdaterFromTupleFunction - Class in org.deeplearning4j.spark.impl.common.misc

UpdaterFromTupleFunction() - Constructor for class org.deeplearning4j.spark.impl.common.misc.UpdaterFromTupleFunction

UpdaterFromTupleFunctionCG - Class in org.deeplearning4j.spark.impl.common.misc

UpdaterFromTupleFunctionCG() - Constructor for class org.deeplearning4j.spark.impl.common.misc.UpdaterFromTupleFunctionCG

V

valueOf(String) - Static method in enum org.deeplearning4j.spark.canova.CanovaSequencePairDataSetFunction.AlignmentMode

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

values() - Static method in enum org.deeplearning4j.spark.canova.CanovaSequencePairDataSetFunction.AlignmentMode

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

Z

zero(Double) - Method in class org.deeplearning4j.spark.impl.common.BestScoreAccumulator

zero(Double) - Method in class org.deeplearning4j.spark.impl.common.DoubleAccumulator

zero(INDArray) - Method in class org.deeplearning4j.spark.impl.common.ParamAccumulator

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