- dampingFactor - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
-
- data - Variable in class org.deeplearning4j.spark.BaseSparkTest
-
- data(SparkContext) - Method in interface org.deeplearning4j.spark.data.DataSetProvider
-
Return an rdd of type dataset
- 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
-
- DataSetAssertionFunction() - Constructor for class org.deeplearning4j.spark.datavec.MiniBatchTests.DataSetAssertionFunction
-
- DataSetExportFunction - Class in org.deeplearning4j.spark.data
-
A function (used in forEachPartition) to save DataSet objects to disk/HDFS.
- DataSetExportFunction(URI) - Constructor for class org.deeplearning4j.spark.data.DataSetExportFunction
-
- DataSetFetcher - Interface in org.deeplearning4j.datasets.iterator
-
- dataSetIterator - Variable in class org.deeplearning4j.nn.graph.TestCompGraphCNN
-
- DataSetIteratorProviderFactory - Interface in org.deeplearning4j.parallelism.main
-
Create a dataset iterator.
- DataSetIteratorTest - Class in org.deeplearning4j.datasets.iterator
-
- DataSetIteratorTest() - Constructor for class org.deeplearning4j.datasets.iterator.DataSetIteratorTest
-
- DataSetLoader - Class in org.deeplearning4j.aws.dataset
-
- DataSetLoader() - Constructor for class org.deeplearning4j.aws.dataset.DataSetLoader
-
- DataSetLossCalculator - Class in org.deeplearning4j.earlystopping.scorecalc
-
Given a DataSetIterator: calculate the total loss for the model on that data set.
- DataSetLossCalculator(DataSetIterator, boolean) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator
-
Calculate the score (loss function value) on a given data set (usually a test set)
- DataSetLossCalculatorCG - Class in org.deeplearning4j.earlystopping.scorecalc
-
Given a DataSetIterator: calculate
the total loss for the model on that data set.
- DataSetLossCalculatorCG(DataSetIterator, boolean) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG
-
Calculate the score (loss function value) on a given data set (usually a test set)
- DataSetLossCalculatorCG(MultiDataSetIterator, boolean) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG
-
Calculate the score (loss function value) on a given data set (usually a test set)
- dataSetMetaDataBytes() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- dataSetMetaDataBytesCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- DataSetMetaDataBytesDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
-
- dataSetMetaDataBytesDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- DataSetMetaDataBytesEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
-
- dataSetMetaDataBytesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- dataSetMetaDataClassName() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- dataSetMetaDataClassName(String) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- dataSetMetaDataClassNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- dataSetMetaDataClassNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- dataSetMetaDataClassNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- dataSetMetaDataClassNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- dataSetMetaDataClassNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- dataSetMetaDataClassNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- dataSetMetaDataClassNameLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- dataSetMetaDataClassNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- dataSetMetaDataClassNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- dataSetMetaDataPresent() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
-
- dataSetMetaDataPresent(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
-
- dataSetObjectSizeExamples - Variable in class org.deeplearning4j.spark.api.WorkerConfiguration
-
- DataSetOrdering - Class in org.deeplearning4j.spark.ordering
-
Orders by data set size.
- DataSetOrdering() - Constructor for class org.deeplearning4j.spark.ordering.DataSetOrdering
-
- dataSetPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
-
Optional DataSetPreProcessor
- DataSetProvider - Interface in org.deeplearning4j.spark.data
-
A provider for an DataSet
rdd.
- DataSets - Class in org.deeplearning4j.datasets
-
- dataSetStreams - Variable in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
-
- DataSetToMultiDataSetFn - Class in org.deeplearning4j.spark.impl.graph.dataset
-
Convert a JavaRDD<DataSet> to a JavaRDD<MultiDataSet>
- DataSetToMultiDataSetFn() - Constructor for class org.deeplearning4j.spark.impl.graph.dataset.DataSetToMultiDataSetFn
-
- dataTypeUnMarshal(String) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
-
- DataVecByteDataSetFunction - Class in org.deeplearning4j.spark.datavec
-
- DataVecByteDataSetFunction(int, int, int, int) - Constructor for class org.deeplearning4j.spark.datavec.DataVecByteDataSetFunction
-
- DataVecByteDataSetFunction(int, int, int, int, boolean) - Constructor for class org.deeplearning4j.spark.datavec.DataVecByteDataSetFunction
-
- DataVecByteDataSetFunction(int, int, int, int, boolean, DataSetPreProcessor) - Constructor for class org.deeplearning4j.spark.datavec.DataVecByteDataSetFunction
-
- DataVecDataSetFunction - Class in org.deeplearning4j.spark.datavec
-
Map Collection<Writable> objects (out of a datavec-spark record reader function) to DataSet objects for Spark training.
- DataVecDataSetFunction(int, int, boolean) - Constructor for class org.deeplearning4j.spark.datavec.DataVecDataSetFunction
-
- DataVecDataSetFunction(int, int, boolean, DataSetPreProcessor, WritableConverter) - Constructor for class org.deeplearning4j.spark.datavec.DataVecDataSetFunction
-
- DataVecDataSetFunction(int, int, int, boolean, DataSetPreProcessor, WritableConverter) - Constructor for class org.deeplearning4j.spark.datavec.DataVecDataSetFunction
-
Main constructor, including for multi-label regression
- datavecMarshaller(String) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
-
- DataVecSequenceDataSetFunction - Class in org.deeplearning4j.spark.datavec
-
Map Collection<Collection<Writable>> objects (out of a datavec-spark sequence record reader function) to
DataSet objects for Spark training.
- DataVecSequenceDataSetFunction(int, int, boolean) - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequenceDataSetFunction
-
- DataVecSequenceDataSetFunction(int, int, boolean, DataSetPreProcessor, WritableConverter) - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequenceDataSetFunction
-
- DataVecSequencePairDataSetFunction - Class in org.deeplearning4j.spark.datavec
-
Map Tuple2<Collection<Collection<Writable>>,Collection<Collection<Writable>> objects (out of a TWO datavec-spark
sequence record reader functions) to DataSet objects for Spark training.
- DataVecSequencePairDataSetFunction() - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequencePairDataSetFunction
-
Constructor for equal length and no conversion of labels (i.e., regression or already in one-hot representation).
- DataVecSequencePairDataSetFunction(int, boolean) - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequencePairDataSetFunction
-
Constructor for equal length, no data set preprocessor or writable converter
- DataVecSequencePairDataSetFunction(int, boolean, DataVecSequencePairDataSetFunction.AlignmentMode) - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequencePairDataSetFunction
-
Constructor for data with a specified alignment mode, no data set preprocessor or writable converter
- DataVecSequencePairDataSetFunction(int, boolean, DataVecSequencePairDataSetFunction.AlignmentMode, DataSetPreProcessor, WritableConverter) - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequencePairDataSetFunction
-
- DataVecSequencePairDataSetFunction.AlignmentMode - Enum in org.deeplearning4j.spark.datavec
-
Alignment mode for dealing with input/labels of differing lengths (for example, one-to-many and many-to-one type situations).
- datavecUris - Variable in class org.deeplearning4j.BasePipeline
-
- datavecUris() - Method in class org.deeplearning4j.BasePipeline
-
- datavecUris() - Method in interface org.deeplearning4j.Pipeline
-
The datavec uris to use
- datavecUris() - Method in class org.deeplearning4j.StreamingPipeline
-
- DBOW<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.learning.impl.sequence
-
- DBOW() - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
-
- dbow(int, Sequence<T>, int, AtomicLong, double, boolean, INDArray) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
-
- debugBefore(Exchange, Processor, ProcessorDefinition<?>, String, String) - Method in class org.deeplearning4j.streaming.routes.Dl4jServingRouteTest
-
- debugLattice(OutputStream, String) - Method in class com.atilika.kuromoji.TokenizerBase
-
Writes the Viterbi lattice for the provided text to an output stream
- debugTokenize(OutputStream, String) - Method in class com.atilika.kuromoji.TokenizerBase
-
Tokenizes the provided text and outputs the corresponding Viterbi lattice and the Viterbi path to the provided output stream
- decay - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
-
- decay(double) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
-
At test time: we can use a global estimate of the mean and variance, calculated using a moving average
of the batch means/variances.
- decay - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization
-
- decode(byte[]) - Method in interface org.deeplearning4j.api.storage.Persistable
-
Decode the content of the given
byte array in to this persistable
- decode(ByteBuffer) - Method in interface org.deeplearning4j.api.storage.Persistable
-
Decode from the given ByteBuffer
- decode(InputStream) - Method in interface org.deeplearning4j.api.storage.Persistable
-
Decode from the given input stream
- decode(INDArray) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
-
- decode(byte[]) - Method in class org.deeplearning4j.ui.flow.data.FlowStaticPersistable
-
- decode(ByteBuffer) - Method in class org.deeplearning4j.ui.flow.data.FlowStaticPersistable
-
- decode(InputStream) - Method in class org.deeplearning4j.ui.flow.data.FlowStaticPersistable
-
- decode(byte[]) - Method in class org.deeplearning4j.ui.flow.data.FlowUpdatePersistable
-
- decode(ByteBuffer) - Method in class org.deeplearning4j.ui.flow.data.FlowUpdatePersistable
-
- decode(InputStream) - Method in class org.deeplearning4j.ui.flow.data.FlowUpdatePersistable
-
- decode(byte[]) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
-
- decode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
-
- decode(InputStream) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
-
- decode(byte[]) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
-
- decode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
-
- decode(InputStream) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
-
- decode(byte[]) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
-
- decode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
-
- decode(DirectBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
-
- decode(InputStream) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
-
- decode(byte[]) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
-
- decode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
-
- decode(DirectBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
-
- decode(InputStream) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
-
- decode(DirectBuffer) - Method in interface org.deeplearning4j.ui.storage.AgronaPersistable
-
- decode(byte[]) - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
-
- decode(ByteBuffer) - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
-
- decode(InputStream) - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
-
- decode(byte[]) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
-
- decode(ByteBuffer) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
-
- decode(DirectBuffer) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
-
- decode(InputStream) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
-
- decode(byte[]) - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
-
- decode(ByteBuffer) - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
-
- decode(InputStream) - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
-
- decode(INDArray) - Method in class org.deeplearning4j.util.Viterbi
-
Decodes the given labels, assuming its a binary label matrix
- decode(INDArray, boolean) - Method in class org.deeplearning4j.util.Viterbi
-
Decodes a series of labels
- decodeB64(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
- decodePredictions(INDArray) - Method in enum org.deeplearning4j.nn.modelimport.keras.trainedmodels.TrainedModels
-
- decoderLayerSizes(int...) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
-
Size of the decoder layers, in units.
- decoderLayerSizes - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- DecoratorAccordion - Class in org.deeplearning4j.ui.components.decorator
-
Accordion decorator component: i.e., create an accordion (i.e., collapseable componenet) with multiple sub-components internally
Current implementation supports only one accordion section
- DecoratorAccordion() - Constructor for class org.deeplearning4j.ui.components.decorator.DecoratorAccordion
-
- DecoratorAccordion.Builder - Class in org.deeplearning4j.ui.components.decorator
-
- dedupeByCluster(int) - Method in class org.deeplearning4j.util.StringGrid
-
Deduplicate based on the column clustering signature
- dedupeByClusterAll() - Method in class org.deeplearning4j.util.StringGrid
-
- DeepLearning4jEntryPoint - Class in org.deeplearning4j.keras
-
API exposed to the Python side.
- DeepLearning4jEntryPoint() - Constructor for class org.deeplearning4j.keras.DeepLearning4jEntryPoint
-
- DeepLearning4jEntryPointTest - Class in org.deeplearning4j.keras
-
- DeepLearning4jEntryPointTest() - Constructor for class org.deeplearning4j.keras.DeepLearning4jEntryPointTest
-
- DeepLearningException - Exception in org.deeplearning4j.exception
-
- DeepLearningException() - Constructor for exception org.deeplearning4j.exception.DeepLearningException
-
- DeepLearningException(String, Throwable, boolean, boolean) - Constructor for exception org.deeplearning4j.exception.DeepLearningException
-
- DeepLearningException(String, Throwable) - Constructor for exception org.deeplearning4j.exception.DeepLearningException
-
- DeepLearningException(String) - Constructor for exception org.deeplearning4j.exception.DeepLearningException
-
- DeepLearningException(Throwable) - Constructor for exception org.deeplearning4j.exception.DeepLearningException
-
- DeepLearningIOUtil - Class in org.deeplearning4j.util
-
- DeepWalk<V,E> - Class in org.deeplearning4j.graph.models.deepwalk
-
Implementation of the DeepWalk graph vectorization model, based on the paper
DeepWalk: Online Learning of Social Representations by Perozzi, Al-Rfou & Skiena (2014),
http://arxiv.org/abs/1403.6652
Similar to word2vec in nature, DeepWalk is an unsupervised learning algorithm that learns a vector representation
of each vertex in a graph.
- DeepWalk() - Constructor for class org.deeplearning4j.graph.models.deepwalk.DeepWalk
-
- DeepWalk.Builder<V,E> - Class in org.deeplearning4j.graph.models.deepwalk
-
- DeepWalkGradientCheck - Class in org.deeplearning4j.graph.models.deepwalk
-
- DeepWalkGradientCheck() - Constructor for class org.deeplearning4j.graph.models.deepwalk.DeepWalkGradientCheck
-
- DEFAULT_AMI - Static variable in class org.deeplearning4j.aws.ec2.Ec2BoxCreator
-
- DEFAULT_BASE_RETR_DELAY_MS - Static variable in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
-
Base delay for retries
- DEFAULT_CHART_MARGIN_BOTTOM - Static variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
-
- DEFAULT_CHART_MARGIN_LEFT - Static variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
-
- DEFAULT_CHART_MARGIN_RIGHT - Static variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
-
- DEFAULT_CHART_MARGIN_TOP - Static variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
-
- DEFAULT_DELIMITER - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
-
- DEFAULT_DELIMITER - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
-
- DEFAULT_DELIMITER - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
-
- DEFAULT_EDGE_VALUE - Static variable in class org.deeplearning4j.eval.Evaluation
-
- DEFAULT_EPS - Static variable in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
-
- DEFAULT_EVAL_SCORE_BATCH_SIZE - Static variable in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
-
- DEFAULT_EVAL_SCORE_BATCH_SIZE - Static variable in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
-
- DEFAULT_FLATTENING_ORDER - Static variable in class org.deeplearning4j.nn.gradient.DefaultGradient
-
- DEFAULT_I8N_RESOURCES_DIR - Static variable in class org.deeplearning4j.ui.i18n.DefaultI18N
-
- DEFAULT_LANGUAGE - Static variable in class org.deeplearning4j.ui.i18n.DefaultI18N
-
- DEFAULT_MAX_CHART_POINTS - Static variable in class org.deeplearning4j.ui.module.train.TrainModule
-
- DEFAULT_MAX_RETRIES - Static variable in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
-
Default maximum number of (consecutive) retries on failure
- DEFAULT_MAX_TIMELINE_SIZE_MS - Static variable in class org.deeplearning4j.spark.stats.StatsUtils
-
- DEFAULT_NTP_SERVER - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
-
- DEFAULT_NTP_TIMEOUT_MS - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
-
- DEFAULT_PATH - Static variable in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
-
Default path for posting data to the UI - i.e., http://localhost:9000/remoteReceive or similar
- DEFAULT_PRECISION - Static variable in class org.deeplearning4j.eval.EvaluationBinary
-
- DEFAULT_PRECISION - Static variable in class org.deeplearning4j.eval.RegressionEvaluation
-
- DEFAULT_PRECISION - Static variable in class org.deeplearning4j.eval.ROCBinary
-
- DEFAULT_PRINT_FORMAT - Static variable in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats
-
- DEFAULT_RETRY_BACKOFF_FACTOR - Static variable in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
-
Default backoff multiplicative factor for retrying
- DEFAULT_ROC_THRESHOLD_STEPS - Static variable in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
-
- DEFAULT_TIMESOURCE_CLASS_NAME - Static variable in class org.deeplearning4j.spark.time.TimeSourceProvider
-
Default class to use when getting a TimeSource instance
- DEFAULT_UI_PORT - Static variable in class org.deeplearning4j.ui.play.PlayUIServer
-
- DEFAULT_UNK - Static variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
- DEFAULT_UPDATE_FREQUENCY - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
-
- DEFAULT_WEIGHT_INIT_ORDER - Static variable in class org.deeplearning4j.nn.weights.WeightInitUtil
-
Default order for the arrays created by WeightInitUtil.
- defaultAnalysisEngine() - Static method in class org.deeplearning4j.text.tokenization.tokenizer.PosUimaTokenizer
-
- defaultAnalysisEngine() - Static method in class org.deeplearning4j.text.tokenization.tokenizerfactory.PosUimaTokenizerFactory
-
- defaultAnalysisEngine() - Static method in class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
-
Creates a tokenization,/stemming pipeline
- defaultConfiguration - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
-
- defaultConfiguration - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- DefaultDocumentIteratorTest - Class in org.deeplearning4j.text.documentiterator
-
Created by agibsonccc on 9/29/14.
- DefaultDocumentIteratorTest() - Constructor for class org.deeplearning4j.text.documentiterator.DefaultDocumentIteratorTest
-
- DefaultFactory(Class) - Constructor for class org.deeplearning4j.berkeley.Factory.DefaultFactory
-
- DefaultGradient - Class in org.deeplearning4j.nn.gradient
-
Default gradient implementation.
- DefaultGradient() - Constructor for class org.deeplearning4j.nn.gradient.DefaultGradient
-
- DefaultGradient(INDArray) - Constructor for class org.deeplearning4j.nn.gradient.DefaultGradient
-
- DefaultI18N - Class in org.deeplearning4j.ui.i18n
-
Default internationalization implementation.
Content for internationalization is implemented using resource files.
For the resource files: they should be specified as follows:
1.
- defaultIncludeInPlots(String) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
-
- defaultIncludeInPlots(String) - Method in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats
-
When plotting statistics, we don't necessarily want to plot everything.
- defaultIncludeInPlots(String) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
-
- defaultIncludeInPlots(String) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
-
- DefaultInputStreamCreator - Class in org.deeplearning4j.bagofwords.vectorizer
-
Created by agibsonccc on 10/20/14.
- DefaultInputStreamCreator(DocumentIterator) - Constructor for class org.deeplearning4j.bagofwords.vectorizer.DefaultInputStreamCreator
-
- defaultIterationCount - Static variable in class org.deeplearning4j.clustering.algorithm.strategy.FixedClusterCountStrategy
-
- defaultIterationCount - Static variable in class org.deeplearning4j.clustering.algorithm.strategy.OptimisationStrategy
-
- DefaultLexicographicPairComparator() - Constructor for class org.deeplearning4j.berkeley.Pair.DefaultLexicographicPairComparator
-
- DefaultModule - Class in org.deeplearning4j.ui.module.defaultModule
-
Landing page - i.e., "/" route
- DefaultModule() - Constructor for class org.deeplearning4j.ui.module.defaultModule.DefaultModule
-
- DefaulTokenizerTests - Class in org.deeplearning4j.text.tokenization.tokenizer
-
- DefaulTokenizerTests() - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.DefaulTokenizerTests
-
- DefaultParamInitializer - Class in org.deeplearning4j.nn.params
-
Static weight initializer with just a weight matrix and a bias
- DefaultParamInitializer() - Constructor for class org.deeplearning4j.nn.params.DefaultParamInitializer
-
- DefaultStatsInitializationConfiguration - Class in org.deeplearning4j.ui.stats.impl
-
Created by Alex on 07/10/2016.
- DefaultStatsInitializationConfiguration() - Constructor for class org.deeplearning4j.ui.stats.impl.DefaultStatsInitializationConfiguration
-
- DefaultStatsUpdateConfiguration - Class in org.deeplearning4j.ui.stats.impl
-
Created by Alex on 07/10/2016.
- DefaultStatsUpdateConfiguration.Builder - Class in org.deeplearning4j.ui.stats.impl
-
- DefaultStepFunction - Class in org.deeplearning4j.nn.conf.stepfunctions
-
Default step function
- DefaultStepFunction() - Constructor for class org.deeplearning4j.nn.conf.stepfunctions.DefaultStepFunction
-
- DefaultStepFunction - Class in org.deeplearning4j.optimize.stepfunctions
-
Default step function
- DefaultStepFunction() - Constructor for class org.deeplearning4j.optimize.stepfunctions.DefaultStepFunction
-
- DefaultStreamTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
-
Tokenizer based on the StreamTokenizer
- DefaultStreamTokenizer(InputStream) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer
-
- DefaultTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
-
Default tokenizer
- DefaultTokenizer(String) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer
-
- DefaultTokenizerFactory - Class in org.deeplearning4j.text.tokenization.tokenizerfactory
-
Default tokenizer based on string tokenizer or stream tokenizer
- DefaultTokenizerFactory() - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory
-
- DefaultTrainer - Class in org.deeplearning4j.parallelism.trainer
-
Trains datasets using a standard in memory
parameter averaging technique.
- DefaultTrainer() - Constructor for class org.deeplearning4j.parallelism.trainer.DefaultTrainer
-
- DefaultTrainer.DefaultTrainerBuilder - Class in org.deeplearning4j.parallelism.trainer
-
- DefaultTrainerBuilder() - Constructor for class org.deeplearning4j.parallelism.trainer.DefaultTrainer.DefaultTrainerBuilder
-
- DefaultTrainerContext - Class in org.deeplearning4j.parallelism.factory
-
- DefaultTrainerContext() - Constructor for class org.deeplearning4j.parallelism.factory.DefaultTrainerContext
-
- defaultVals - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
-
Deprecated.
- delete(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.KDTree
-
- deleteFile(File) - Static method in class org.deeplearning4j.streaming.embedded.TestUtils
-
- deleteTempFiles(JavaSparkContext) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
-
Attempt to delete any temporary files generated by this TrainingMaster.
- deleteTempFiles(SparkContext) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
-
Attempt to delete any temporary files generated by this TrainingMaster.
- deleteTempFiles(JavaSparkContext) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
-
- deleteTempFiles(SparkContext) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
-
- DelimitedEdgeLineProcessor - Class in org.deeplearning4j.graph.data.impl
-
A simple line processor, for data in the format
01\n 30\n etc.
- DelimitedEdgeLineProcessor(String, boolean) - Constructor for class org.deeplearning4j.graph.data.impl.DelimitedEdgeLineProcessor
-
- DelimitedEdgeLineProcessor(String, boolean, String...) - Constructor for class org.deeplearning4j.graph.data.impl.DelimitedEdgeLineProcessor
-
- DelimitedVertexLoader - Class in org.deeplearning4j.graph.data.impl
-
Load vertex information, one per line of form "0Some text attribute/label"
- DelimitedVertexLoader(String) - Constructor for class org.deeplearning4j.graph.data.impl.DelimitedVertexLoader
-
- DelimitedVertexLoader(String, String...) - Constructor for class org.deeplearning4j.graph.data.impl.DelimitedVertexLoader
-
- deltaGCCount() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
-
- deltaGCCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
-
- deltaGCCountId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
-
- deltaGCCountMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
-
- deltaGCCountMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
-
- deltaGCCountMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
-
- deltaGCCountMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
-
- deltaGCCountMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
-
- deltaGCCountNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
-
- deltaGCCountNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
-
- deltaGCTimeMs() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
-
- deltaGCTimeMs(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
-
- deltaGCTimeMsId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
-
- deltaGCTimeMsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
-
- deltaGCTimeMsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
-
- deltaGCTimeMsMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
-
- deltaGCTimeMsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
-
- deltaGCTimeMsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
-
- deltaGCTimeMsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
-
- deltaGCTimeMsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
-
- deltaTime() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- deltaTime(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- deltaTimeId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- deltaTimeMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- deltaTimeMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- deltaTimeMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- deltaTimeMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- deltaTimeMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- deltaTimeNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- deltaTimeNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- DENSE_LAYER - Static variable in class org.deeplearning4j.nn.conf.layers.setup.ConvolutionLayerSetup
-
Deprecated.
- DenseLayer - Class in org.deeplearning4j.nn.conf.layers
-
Dense layer: fully connected feed forward layer trainable by backprop.
- DenseLayer - Class in org.deeplearning4j.nn.layers.feedforward.dense
-
- DenseLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.feedforward.dense.DenseLayer
-
- DenseLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.feedforward.dense.DenseLayer
-
- DenseLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
-
- DenseTest - Class in org.deeplearning4j.nn.layers.feedforward.dense
-
Created by nyghtowl on 8/31/15.
- DenseTest() - Constructor for class org.deeplearning4j.nn.layers.feedforward.dense.DenseTest
-
- 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
- depth - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
-
- depth - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
-
- depth() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
-
Finds the depth of the tree.
- depth(Tree) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
-
Returns the distance between this node
and the specified subnode
- deregisterStatsStorageListener(StatsStorageListener) - Method in interface org.deeplearning4j.api.storage.StatsStorage
-
Remove the specified listener, if it is present.
- deregisterStatsStorageListener(StatsStorageListener) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
-
- deregisterStatsStorageListener(StatsStorageListener) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
-
- derivativeActivation(INDArray) - Method in interface org.deeplearning4j.nn.api.Layer
-
- derivativeActivation(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
- derivativeActivation(INDArray) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
- derivativeActivation(INDArray) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- derivativeActivation(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- deriveClusterInfoDistanceStatistics(ClusterInfo) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
-
- derivOfSigmoid(float) - Static method in class org.deeplearning4j.nn.multilayer.BackPropMLPTest
-
- derivOfSigmoid(float[]) - Static method in class org.deeplearning4j.nn.multilayer.BackPropMLPTest
-
- Description - Class in org.deeplearning4j.ui.flow.beans
-
Description bean holds few lines worth text description for any layer
- Description() - Constructor for class org.deeplearning4j.ui.flow.beans.Description
-
- deserialize(String) - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.SequenceElementFactory
-
This method builds object from provided JSON
- deserialize(String) - Method in class org.deeplearning4j.models.sequencevectors.serialization.AbstractElementFactory
-
This method builds object from provided JSON
- deserialize(String) - Method in class org.deeplearning4j.models.sequencevectors.serialization.VocabWordFactory
-
This method builds object from provided JSON
- deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.spark.util.serde.StorageLevelDeserializer
-
- destroy() - Method in class org.deeplearning4j.text.annotator.PoStagger
-
Releases allocated resources.
- destroy() - Method in class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
-
Releases allocated resources.
- detach(StatsStorage) - Method in class org.deeplearning4j.ui.api.UIServer
-
Detach the specified StatsStorage instance from the UI
- detach(StatsStorage) - Method in class org.deeplearning4j.ui.play.PlayUIServer
-
- determinationCoefficient(double[], double[], int) - Static method in class org.deeplearning4j.util.MathUtils
-
This returns the determination coefficient of two vectors given a length
- deviceDescription() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
-
- deviceDescription(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
-
- deviceDescriptionCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
-
- deviceDescriptionCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
-
- deviceDescriptionHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
-
- deviceDescriptionHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
-
- deviceDescriptionId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
-
- deviceDescriptionId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
-
- deviceDescriptionLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
-
- deviceDescriptionMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
-
- deviceDescriptionMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
-
- deviceMemoryMax() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
-
- deviceMemoryMax(long) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
-
- deviceMemoryMaxId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
-
- deviceMemoryMaxMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
-
- deviceMemoryMaxMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
-
- deviceMemoryMaxMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
-
- deviceMemoryMaxMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
-
- deviceMemoryMaxMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
-
- deviceMemoryMaxNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
-
- deviceMemoryMaxNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
-
- diag(INDArray) - Method in class org.deeplearning4j.plot.Tsne
-
- Dictionary - Interface in com.atilika.kuromoji.dict
-
- DictionaryCompiler - Class in com.atilika.kuromoji.ipadic.compile
-
- DictionaryCompiler() - Constructor for class com.atilika.kuromoji.ipadic.compile.DictionaryCompiler
-
- DictionaryCompilerBase - Class in com.atilika.kuromoji.compile
-
- DictionaryCompilerBase() - Constructor for class com.atilika.kuromoji.compile.DictionaryCompilerBase
-
- dictionaryEntries - Variable in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
-
- dictionaryEntries - Variable in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
-
- DictionaryEntry - Class in com.atilika.kuromoji.ipadic.compile
-
- DictionaryEntry(String[]) - Constructor for class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
-
- DictionaryEntryBase - Class in com.atilika.kuromoji.dict
-
- DictionaryEntryBase(String, short, short, short) - Constructor for class com.atilika.kuromoji.dict.DictionaryEntryBase
-
- DictionaryEntryLineParser - Class in com.atilika.kuromoji.util
-
- DictionaryEntryLineParser() - Constructor for class com.atilika.kuromoji.util.DictionaryEntryLineParser
-
- DictionaryEntryLineParserTest - Class in com.atilika.kuromoji.util
-
- DictionaryEntryLineParserTest() - Constructor for class com.atilika.kuromoji.util.DictionaryEntryLineParserTest
-
- DictionaryField - Class in com.atilika.kuromoji.dict
-
- DictionaryField() - Constructor for class com.atilika.kuromoji.dict.DictionaryField
-
- dictionaryMap - Variable in class com.atilika.kuromoji.TokenizerBase
-
- difference(Counter<E>) - Method in class org.deeplearning4j.berkeley.Counter
-
- difference(Collection<? extends T>, Collection<? extends T>) - Static method in class org.deeplearning4j.util.SetUtils
-
Return is s1 \ s2
- DIM_ORDERING_TENSORFLOW - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- DIM_ORDERING_THEANO - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- dimension - Variable in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
-
- dimOrder - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- DIRECT_ROUTE - Static variable in class org.deeplearning4j.streaming.kafka.NDArrayConsumer
-
- DIRECT_ROUTE - Static variable in class org.deeplearning4j.streaming.kafka.NDArrayPublisher
-
- disableLogging() - Static method in class org.deeplearning4j.text.movingwindow.Util
-
- disableRemoteListener() - Method in class org.deeplearning4j.ui.api.UIServer
-
Disable the remote listener functionality (disabled by default)
- disableRemoteListener() - Method in class org.deeplearning4j.ui.play.PlayUIServer
-
- discretize(double, double, double, int) - Static method in class org.deeplearning4j.util.MathUtils
-
Discretize the given value
- DiskBasedQueue<E> - Class in org.deeplearning4j.util
-
Naive disk based queue for storing items on disk.
- DiskBasedQueue() - Constructor for class org.deeplearning4j.util.DiskBasedQueue
-
- DiskBasedQueue(String) - Constructor for class org.deeplearning4j.util.DiskBasedQueue
-
- DiskBasedQueue(File) - Constructor for class org.deeplearning4j.util.DiskBasedQueue
-
- dist(Distribution) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
-
Distribution to sample initial weights from.
- dist - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
-
- dist(Distribution) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
-
Distribution to sample initial weights from.
- dist - Variable in class org.deeplearning4j.nn.conf.layers.Layer
-
- dist - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
- dist(Distribution) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
Distribution to sample initial weights from.
- dist - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
-
- dist - Variable in class org.deeplearning4j.nn.weights.WeightInitUtilTest
-
- distance(DataPoint) - Method in class org.deeplearning4j.clustering.sptree.DataPoint
-
Euclidean distance
- distanceFinderZValue(double[]) - Static method in class org.deeplearning4j.util.MathUtils
-
This will translate a vector in to an equivalent integer
- distanceFunction - Variable in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
-
- DistributedDeepLearningTrainer - Class in org.deeplearning4j.aws.ec2.provision
-
- DistributedFunction<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.functions
-
- DistributedFunction(Broadcast<VoidConfiguration>, Broadcast<VectorsConfiguration>, Broadcast<VocabCache<ShallowSequenceElement>>) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.DistributedFunction
-
- Distribution - Class in org.deeplearning4j.nn.conf.distribution
-
An abstract distribution.
- Distribution() - Constructor for class org.deeplearning4j.nn.conf.distribution.Distribution
-
- distributionInputSize(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
-
- distributionInputSize(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution
-
- distributionInputSize(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
-
- distributionInputSize(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution
-
- distributionInputSize(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
-
- distributionInputSize(int) - Method in interface org.deeplearning4j.nn.conf.layers.variational.ReconstructionDistribution
-
Get the number of distribution parameters for the given input data size.
- Distributions - Class in org.deeplearning4j.nn.conf.distribution
-
Static method for instantiating an nd4j distribution from a configuration object.
- distributionVariationRateLessThan(double) - Static method in class org.deeplearning4j.clustering.algorithm.condition.ConvergenceCondition
-
- DL4JException - Exception in org.deeplearning4j.exception
-
Base exception for DL4J
- DL4JException() - Constructor for exception org.deeplearning4j.exception.DL4JException
-
- DL4JException(String) - Constructor for exception org.deeplearning4j.exception.DL4JException
-
- DL4JException(String, Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JException
-
- DL4JException(Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JException
-
- DL4JInvalidConfigException - Exception in org.deeplearning4j.exception
-
Exception signifying that the specified configuration is invalid
- DL4JInvalidConfigException() - Constructor for exception org.deeplearning4j.exception.DL4JInvalidConfigException
-
- DL4JInvalidConfigException(String) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidConfigException
-
- DL4JInvalidConfigException(String, Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidConfigException
-
- DL4JInvalidConfigException(Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidConfigException
-
- DL4JInvalidInputException - Exception in org.deeplearning4j.exception
-
DL4J Exception thrown when invalid input is provided (wrong rank, wrong size, etc)
- DL4JInvalidInputException() - Constructor for exception org.deeplearning4j.exception.DL4JInvalidInputException
-
- DL4JInvalidInputException(String) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidInputException
-
- DL4JInvalidInputException(String, Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidInputException
-
- DL4JInvalidInputException(Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidInputException
-
- Dl4jReflection - Class in org.deeplearning4j.util
-
- DL4jServeRouteBuilder - Class in org.deeplearning4j.streaming.routes
-
Serve results from a kafka queue.
- DL4jServeRouteBuilder() - Constructor for class org.deeplearning4j.streaming.routes.DL4jServeRouteBuilder
-
- Dl4jServingRouteTest - Class in org.deeplearning4j.streaming.routes
-
Created by agibsonccc on 6/12/16.
- Dl4jServingRouteTest() - Constructor for class org.deeplearning4j.streaming.routes.Dl4jServingRouteTest
-
- DL4JSubTypesScanner - Class in org.deeplearning4j.util.reflections
-
Custom Reflections library scanner for finding DL4J subtypes (custom layers, graph vertices, etc)
- DL4JSubTypesScanner(List<Class<?>>, List<Class<?>>) - Constructor for class org.deeplearning4j.util.reflections.DL4JSubTypesScanner
-
- 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
-
- DM<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.learning.impl.sequence
-
DM implementation for DeepLearning4j
- DM() - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
-
- dm(int, Sequence<T>, int, AtomicLong, double, List<T>, boolean, INDArray) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
-
- dnnEpsilon - Variable in class org.deeplearning4j.nn.layers.normalization.BatchNormalizationTest
-
- dnnInput - Variable in class org.deeplearning4j.nn.layers.normalization.BatchNormalizationTest
-
- doBackward(boolean) - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
-
Do backward pass
- doBackward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
-
- doBackward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
-
- doBackward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
-
- doBackward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
-
- doBackward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
-
- doBackward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
-
- doBackward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
-
- doBackward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
-
- doBackward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
-
- doBackward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
-
- doBackward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.StackVertex
-
- doBackward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex
-
- doBackward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
-
- doBefore() - Method in class org.deeplearning4j.nn.layers.BaseLayerTest
-
- doBefore() - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalizationTest
-
- doBefore() - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseTest
-
- doBefore() - Method in class org.deeplearning4j.nn.weights.WeightInitUtilTest
-
- docAppearedIn(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
Returns number of documents (if applicable) the label was observed in.
- docAppearedIn(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
- docAppearedIn(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Count of documents a word appeared in
- docFrequencies - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
- docIter - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
-
Deprecated.
- docIter - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
-
- docs() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Iterate over documents
- document(int) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Returns a list of words for a document
- documentIterator - Variable in class org.deeplearning4j.models.glove.Glove.Builder
-
- DocumentIterator - Interface in org.deeplearning4j.text.documentiterator
-
Document Iterator: iterate over input streams
- DocumentIteratorConverter - Class in org.deeplearning4j.text.documentiterator.interoperability
-
Simple class providing compatibility between DocumentIterator/LabelAwareDocumentIterator and LabelAwareIterator
- DocumentIteratorConverter(LabelAwareDocumentIterator) - Constructor for class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
-
- DocumentIteratorConverter(DocumentIterator, LabelsSource) - Constructor for class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
-
- documentPosition - Variable in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
-
- documents(T) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Returns the list of documents a vocab word is in
- DocumentSequenceConvertFunction - Class in org.deeplearning4j.spark.models.paragraphvectors.functions
-
- DocumentSequenceConvertFunction(Broadcast<VectorsConfiguration>) - Constructor for class org.deeplearning4j.spark.models.paragraphvectors.functions.DocumentSequenceConvertFunction
-
- documentWithLabel(int) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Returns a list of words for a document
and the associated label
- documentWithLabels(int) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Returns a list of words associated with the document
and the associated labels
- doEvaluation(DataSetIterator, T) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
-
Perform evaluation on the given data (DataSetIterator) with the given
IEvaluation instance
- doEvaluation(MultiDataSetIterator, T) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
-
Perform evaluation on the given data (MultiDataSetIterator) with the given
IEvaluation instance
- doEvaluation(DataSetIterator, T) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
Perform evaluation using an arbitrary IEvaluation instance.
- doEvaluation(JavaRDD<DataSet>, T, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
-
Perform distributed evaluation of any type of
IEvaluation.
- doForward(boolean) - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
-
Do forward pass using the stored inputs
- doForward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
-
- doForward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
-
- doForward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
-
- doForward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
-
- doForward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
-
- doForward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
-
- doForward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
-
- doForward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
-
- doForward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
-
- doForward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
-
- doForward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.StackVertex
-
- doForward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex
-
- doForward(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
-
- doSigmoid(INDArray) - Static method in class org.deeplearning4j.nn.multilayer.BackPropMLPTest
-
- doSigmoidDerivative(INDArray) - Static method in class org.deeplearning4j.nn.multilayer.BackPropMLPTest
-
- doSoftmax(INDArray) - Static method in class org.deeplearning4j.nn.multilayer.BackPropMLPTest
-
- doTanh(INDArray) - Static method in class org.deeplearning4j.nn.multilayer.BackPropMLPTest
-
- doTanhDerivative(INDArray) - Static method in class org.deeplearning4j.nn.multilayer.BackPropMLPTest
-
- dotProduct(Counter<E>) - Method in class org.deeplearning4j.berkeley.Counter
-
- dotProduct(float[], float[]) - Static method in class org.deeplearning4j.nn.multilayer.BackPropMLPTest
-
- doTruncatedBPTT(INDArray[], INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
-
Fit the network using truncated BPTT
- doTruncatedBPTT(INDArray, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- DOUBLE_ARRAY_TRIE_FILENAME - Static variable in class com.atilika.kuromoji.trie.DoubleArrayTrie
-
- doubleArrayTrie - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
-
- DoubleArrayTrie - Class in com.atilika.kuromoji.trie
-
- DoubleArrayTrie() - Constructor for class com.atilika.kuromoji.trie.DoubleArrayTrie
-
- DoubleArrayTrie(boolean) - Constructor for class com.atilika.kuromoji.trie.DoubleArrayTrie
-
- DoubleArrayTrieCompiler - Class in com.atilika.kuromoji.compile
-
- DoubleArrayTrieCompiler() - Constructor for class com.atilika.kuromoji.compile.DoubleArrayTrieCompiler
-
- DoubleArrayTrieTest - Class in com.atilika.kuromoji.trie
-
- DoubleArrayTrieTest() - Constructor for class com.atilika.kuromoji.trie.DoubleArrayTrieTest
-
- DoublesDataSetIterator - Class in org.deeplearning4j.datasets.iterator
-
- DoublesDataSetIterator(Iterable<Pair<double[], double[]>>, int) - Constructor for class org.deeplearning4j.datasets.iterator.DoublesDataSetIterator
-
- download(String, String, File) - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
-
- download(String, String, OutputStream) - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
-
- downloadAndUntar() - Static method in class com.atilika.kuromoji.util.KuromojiBinFilesFetcher
-
- downloadAndUntar() - Method in class org.deeplearning4j.base.MnistFetcher
-
- downloadFolder(String, String, File) - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
-
- drainTo(Collection<? super DataSet>) - Method in class org.deeplearning4j.parallelism.MagicQueue
-
- drainTo(Collection<? super DataSet>, int) - Method in class org.deeplearning4j.parallelism.MagicQueue
-
- draw() - Method in class org.deeplearning4j.datasets.mnist.draw.DrawReconstruction
-
- 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
-
- driver - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.CountFunction
-
- driver - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
-
- driver - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.TrainingFunction
-
- driver - Variable in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.SparkSkipGram
-
- dropConnection(int, int) - Method in class org.deeplearning4j.ui.flow.beans.LayerInfo
-
- dropConnections() - Method in class org.deeplearning4j.ui.flow.beans.LayerInfo
-
- dropOut(double) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
-
Dropout.
- dropOut - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
-
- dropOut(double) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
-
Dropout.
- dropOut - Variable in class org.deeplearning4j.nn.conf.layers.Layer
-
- dropOut - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
- dropOut(double) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
Dropout probability.
- dropout - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- dropOut - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
-
- Dropout - Class in org.deeplearning4j.util
-
- DROPOUT_DL4J - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayerTest
-
- DROPOUT_KERAS - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayerTest
-
- dropoutApplied - Variable in class org.deeplearning4j.nn.layers.BaseLayer
-
- DropoutLayer - Class in org.deeplearning4j.nn.conf.layers
-
- DropoutLayer - Class in org.deeplearning4j.nn.layers
-
Created by davekale on 12/7/16.
- DropoutLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.DropoutLayer
-
- DropoutLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.DropoutLayer
-
- DropoutLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
-
- DropoutLayerTest - Class in org.deeplearning4j.nn.layers
-
- DropoutLayerTest() - Constructor for class org.deeplearning4j.nn.layers.DropoutLayerTest
-
- dropoutMask - Variable in class org.deeplearning4j.nn.layers.BaseLayer
-
- ds - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
-
- ds - Variable in class org.deeplearning4j.nn.graph.TestCompGraphCNN
-
- DummyPreProcessor - Class in org.deeplearning4j.datasets.iterator
-
This is special dummy preProcessor, that does nothing.
- DummyPreProcessor() - Constructor for class org.deeplearning4j.datasets.iterator.DummyPreProcessor
-
- DuplicateToTimeSeriesVertex - Class in org.deeplearning4j.nn.conf.graph.rnn
-
DuplicateToTimeSeriesVertex is a vertex that goes from 2d activations to a 3d time series activations, by means of
duplication.
- DuplicateToTimeSeriesVertex(String) - Constructor for class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex
-
- DuplicateToTimeSeriesVertex - Class in org.deeplearning4j.nn.graph.vertex.impl.rnn
-
DuplicateToTimeSeriesVertex is a vertex that goes from 2d activations to a 3d time series activations, by means of
duplication.
- DuplicateToTimeSeriesVertex(ComputationGraph, String, int, String) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
-
- DuplicateToTimeSeriesVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], String) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
-
- durationMs - Variable in class org.deeplearning4j.spark.stats.BaseEventStats
-