- w_0(double[], double[], int) - Static method in class org.deeplearning4j.util.MathUtils
-
- w_1(double[], double[], int) - Static method in class org.deeplearning4j.util.MathUtils
-
- waitTillRunning() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
-
- waitTillRunning() - Method in interface org.deeplearning4j.parallelism.trainer.Trainer
-
Block the main thread
till the trainer is up and running.
- walk(Vertex<V>, int) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
-
- WalkDirection - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
-
This enum describes walker behavior when choosing next hop.
- walkDirection - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
-
- walkDirection - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
-
- walker - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
-
- walker - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
-
- walkLength() - Method in interface org.deeplearning4j.graph.iterator.GraphWalkIterator
-
Length of the walks returned by next()
Note that a walk of length i contains i+1 vertices
- walkLength() - Method in class org.deeplearning4j.graph.iterator.RandomWalkIterator
-
- walkLength() - Method in class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
-
- walkLength - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
-
- walkLength - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
-
- walkLength - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
-
- walkLength - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
-
- WalkMode - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
-
- wasAveraged - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
-
- WeakHashMapFactory() - Constructor for class org.deeplearning4j.berkeley.MapFactory.WeakHashMapFactory
-
- WebReporter - Class in org.deeplearning4j.ui
-
This is simple wrapper for sending state updates generated by IterationListeners.
- weight - Variable in class org.deeplearning4j.nn.layers.BaseLayerTest
-
- WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.CenterLossParamInitializer
-
- WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
-
- WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.DefaultParamInitializer
-
- WEIGHT_KEY_SUFFIX - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
-
- WeightedEdgeLineProcessor - Class in org.deeplearning4j.graph.data.impl
-
A simple line processor, for data in the format 0<delim>1<delim>weight.
- WeightedEdgeLineProcessor(String, boolean) - Constructor for class org.deeplearning4j.graph.data.impl.WeightedEdgeLineProcessor
-
- WeightedEdgeLineProcessor(String, boolean, String...) - Constructor for class org.deeplearning4j.graph.data.impl.WeightedEdgeLineProcessor
-
- WeightedRandomWalkGraphIteratorProvider<V> - Class in org.deeplearning4j.graph.iterator.parallel
-
Weighted random walk graph iterator provider: given a weighted graph (of type IGraph<?,? extends Number>),
split up the generation of weighted random walks for parallel learning.
- WeightedRandomWalkGraphIteratorProvider(IGraph<V, ? extends Number>, int) - Constructor for class org.deeplearning4j.graph.iterator.parallel.WeightedRandomWalkGraphIteratorProvider
-
- WeightedRandomWalkGraphIteratorProvider(IGraph<V, ? extends Number>, int, long, NoEdgeHandling) - Constructor for class org.deeplearning4j.graph.iterator.parallel.WeightedRandomWalkGraphIteratorProvider
-
- WeightedRandomWalkIterator<V> - Class in org.deeplearning4j.graph.iterator
-
Given a graph, iterate through random walks on that graph of a specified length.
- WeightedRandomWalkIterator(IGraph<V, ? extends Number>, int) - Constructor for class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
-
- WeightedRandomWalkIterator(IGraph<V, ? extends Number>, int, long) - Constructor for class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
-
Construct a RandomWalkIterator for a given graph, with a specified walk length and random number generator seed.
Uses NoEdgeHandling.EXCEPTION_ON_DISCONNECTED - hence exception will be thrown when generating random
walks on graphs with vertices containing having no edges, or no outgoing edges (for directed graphs)
- WeightedRandomWalkIterator(IGraph<V, ? extends Number>, int, long, NoEdgeHandling) - Constructor for class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
-
- WeightedRandomWalkIterator(IGraph<V, ? extends Number>, int, long, NoEdgeHandling, int, int) - Constructor for class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
-
Constructor used to generate random walks starting at a subset of the vertices in the graph.
- WeightedWalker<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
-
This is vertex weight-based walker for SequenceVectors-based DeepWalk implementation.
- WeightedWalker() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker
-
- WeightedWalker.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
-
- WeightedWalkerTest - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
-
- WeightedWalkerTest() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalkerTest
-
- weightGradient - Variable in class org.deeplearning4j.nn.updater.TestUpdaters
-
- weightInit(WeightInit) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
-
Weight initialization scheme.
- weightInit - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
-
- weightInit(WeightInit) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
-
Weight initialization scheme.
- weightInit - Variable in class org.deeplearning4j.nn.conf.layers.Layer
-
- weightInit - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
- weightInit(WeightInit) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
Weight initialization scheme.
- weightInit - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
-
- WeightInit - Enum in org.deeplearning4j.nn.weights
-
Weight initialization scheme
- WeightInitUtil - Class in org.deeplearning4j.nn.weights
-
Weight initialization utility
- WeightInitUtilTest - Class in org.deeplearning4j.nn.weights
-
Created by nyghtowl on 11/14/15.
- WeightInitUtilTest() - Constructor for class org.deeplearning4j.nn.weights.WeightInitUtilTest
-
- WeightIterator() - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.WeightIterator
-
- weightL1Regularization - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- weightL2Regularization - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- WeightLookupTable<T extends SequenceElement> - Interface in org.deeplearning4j.models.embeddings
-
General weight lookup table
- weightMatrices(MultiLayerNetwork) - Static method in class org.deeplearning4j.util.MultiLayerUtil
-
Return the weight matrices for a multi layer network
- weights - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- weights(InMemoryLookupTable) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
-
Deprecated.
- weightsFor(List<Double>) - Static method in class org.deeplearning4j.util.MathUtils
-
This returns the minimized loss values for a given vector.
- weightsFor(double[]) - Static method in class org.deeplearning4j.util.MathUtils
-
This returns the minimized loss values for a given vector.
- whitespaceMode(String) - Method in class org.deeplearning4j.ui.components.table.style.StyleTable.Builder
-
Set the whitespace mode (CSS style tag).
- width(int) - Method in class org.deeplearning4j.clustering.sptree.Cell
-
- width() - Method in class org.deeplearning4j.clustering.sptree.Cell
-
- width - Static variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
-
- width - Variable in class org.deeplearning4j.ui.api.Style.Builder
-
- width(double, LengthUnit) - Method in class org.deeplearning4j.ui.api.Style.Builder
-
- widthUnit - Variable in class org.deeplearning4j.ui.api.Style.Builder
-
- window - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
-
- window - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
-
- window - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
-
- window - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
-
- window - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
- window - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
-
- window(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
-
Deprecated.
- WINDOW - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
-
Deprecated.
- WINDOW - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
-
Deprecated.
- Window - Class in org.deeplearning4j.text.movingwindow
-
A representation of a sliding window.
- Window(Collection<String>, int, int) - Constructor for class org.deeplearning4j.text.movingwindow.Window
-
Creates a window with a context of size 3
- Window(Collection<String>, int, int, int) - Constructor for class org.deeplearning4j.text.movingwindow.Window
-
Initialize a window with the given size
- WindowConverter - Class in org.deeplearning4j.text.movingwindow
-
Util methods for converting windows to
training examples
- windowForWordInPosition(int, int, List<String>) - Static method in class org.deeplearning4j.text.movingwindow.Windows
-
Creates a sliding window from text
- Windows - Class in org.deeplearning4j.text.movingwindow
-
Static utility class for textual based windowing cooccurrences
- windows(InputStream, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows
-
Constructs a list of window of size windowSize.
- windows(InputStream, TokenizerFactory, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows
-
Constructs a list of window of size windowSize.
- windows(String, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows
-
Constructs a list of window of size windowSize.
- windows(String, TokenizerFactory, int, WordVectors) - Static method in class org.deeplearning4j.text.movingwindow.Windows
-
Constructs a list of window of size windowSize.
- windows(String) - Static method in class org.deeplearning4j.text.movingwindow.Windows
-
Constructs a list of window of size windowSize.
- windows(String, TokenizerFactory) - Static method in class org.deeplearning4j.text.movingwindow.Windows
-
Constructs a list of window of size windowSize.
- windows(List<String>, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows
-
Constructs a list of window of size windowSize
- windows() - Method in class org.deeplearning4j.util.MovingWindowMatrix
-
Returns a list of non flattened moving window matrices
- windows(boolean) - Method in class org.deeplearning4j.util.MovingWindowMatrix
-
Moving window, capture a row x column moving window of
a given matrix
- windowSize(int) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder
-
Sets the window size used in skipgram model
- windowSize - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
-
- windowSize(int) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
-
- windowSize - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
-
- windowSize(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
-
- windowSize(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
-
Deprecated.
- windowSize(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
-
This method defines context window size
- windowSize(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
-
Sets window size for skip-Gram training
- windowSize(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
This method defines context window size
- windowSize - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
-
- windowSize(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
-
Specifies window size
- Word2Vec - Class in org.deeplearning4j.models.word2vec
-
This is Word2Vec implementation based on SequenceVectors
- Word2Vec() - Constructor for class org.deeplearning4j.models.word2vec.Word2Vec
-
- Word2Vec - Class in org.deeplearning4j.spark.models.embeddings.word2vec
-
Spark version of word2vec
- Word2Vec(INDArray) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec
-
- Word2Vec() - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec
-
- word2Vec - Variable in class org.deeplearning4j.spark.models.sequencevectors.export.impl.VocabCacheExporter
-
- Word2Vec.Builder - Class in org.deeplearning4j.models.word2vec
-
- Word2Vec.Builder - Class in org.deeplearning4j.spark.models.embeddings.word2vec
-
- Word2VecChange - Class in org.deeplearning4j.spark.models.embeddings.word2vec
-
Deprecated.
- Word2VecChange(List<Triple<Integer, Integer, Integer>>, Word2VecParam) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecChange
-
Deprecated.
- Word2VecDataFetcher - Class in org.deeplearning4j.models.word2vec.iterator
-
- Word2VecDataFetcher(String, Word2Vec, List<String>) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
-
- Word2VecDataSetIterator - Class in org.deeplearning4j.models.word2vec.iterator
-
Iterates over a sentence with moving window to produce a data applyTransformToDestination
for word windows based on a pretrained word2vec.
- Word2VecDataSetIterator(Word2Vec, LabelAwareSentenceIterator, List<String>, int, boolean, boolean) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
-
Allows for customization of all of the params of the iterator
- Word2VecDataSetIterator(Word2Vec, LabelAwareSentenceIterator, List<String>) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
-
Initializes this iterator with homogenization and adding labels
and a batch size of 10
- Word2VecDataSetIterator(Word2Vec, LabelAwareSentenceIterator, List<String>, int) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
-
Initializes this iterator with homogenization and adding labels
- Word2VecDataSetIteratorTest - Class in org.deeplearning4j.models.word2vec.iterator
-
- Word2VecDataSetIteratorTest() - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIteratorTest
-
- Word2VecFuncCall - Class in org.deeplearning4j.spark.models.embeddings.word2vec
-
Deprecated.
- Word2VecFuncCall(Broadcast<Word2VecParam>, Long, List<VocabWord>) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecFuncCall
-
Deprecated.
- Word2VecIteratorTest - Class in org.deeplearning4j.models.word2vec.iterator
-
Created by agibsonccc on 3/5/15.
- Word2VecIteratorTest() - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecIteratorTest
-
- Word2VecParam - Class in org.deeplearning4j.spark.models.embeddings.word2vec
-
Deprecated.
- Word2VecParam(boolean, double, int, INDArray, int, AtomicLong, double, double, int, int, Broadcast<AtomicLong>, InMemoryLookupTable, int, Broadcast<double[]>) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
-
Deprecated.
- Word2VecParam.Builder - Class in org.deeplearning4j.spark.models.embeddings.word2vec
-
Deprecated.
- Word2VecPerformer - Class in org.deeplearning4j.spark.models.embeddings.word2vec
-
Deprecated.
- Word2VecPerformer(SparkConf, Broadcast<AtomicLong>, InMemoryLookupTable) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformer
-
Deprecated.
- Word2VecPerformerVoid - Class in org.deeplearning4j.spark.models.embeddings.word2vec
-
Deprecated.
- Word2VecPerformerVoid(SparkConf, Broadcast<AtomicLong>, InMemoryLookupTable) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
-
Deprecated.
- Word2VecSetup - Class in org.deeplearning4j.spark.models.embeddings.word2vec
-
Deprecated.
- Word2VecSetup(Broadcast<Word2VecParam>) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecSetup
-
Deprecated.
- Word2VecTest - Class in org.deeplearning4j.spark.models.embeddings.word2vec
-
This test is for LEGACY w2v implementation
- Word2VecTest() - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecTest
-
- Word2VecTests - Class in org.deeplearning4j.models.word2vec
-
- Word2VecTests() - Constructor for class org.deeplearning4j.models.word2vec.Word2VecTests
-
- Word2VecTestsSmall - Class in org.deeplearning4j.models.word2vec
-
- Word2VecTestsSmall() - Constructor for class org.deeplearning4j.models.word2vec.Word2VecTestsSmall
-
- Word2VecVariables - Class in org.deeplearning4j.spark.models.embeddings.word2vec
-
Deprecated.
- Word2VecVisualizationTests - Class in org.deeplearning4j.models.word2vec
-
This set of tests will address TSNE building checks, as well as parts of UI package involved there
- Word2VecVisualizationTests() - Constructor for class org.deeplearning4j.models.word2vec.Word2VecVisualizationTests
-
- WORD_COST - Static variable in class com.atilika.kuromoji.dict.DictionaryField
-
- wordAtIndex(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
Returns the label of the element at specified Huffman index
- wordAtIndex(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
Returns the word contained at the given index or null
- wordAtIndex(int) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Returns the word contained at the given index or null
- WordConverter - Class in org.deeplearning4j.text.movingwindow
-
- WordConverter(List<String>, Word2Vec) - Constructor for class org.deeplearning4j.text.movingwindow.WordConverter
-
- wordCost - Variable in class com.atilika.kuromoji.dict.DictionaryEntryBase
-
- wordCost(short) - Method in class com.atilika.kuromoji.dict.GenericDictionaryEntry.Builder
-
- wordCount(Broadcast<AtomicLong>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
-
Deprecated.
- wordFor(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
Returns SequenceElement for specified label
- wordFor(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
- wordFor(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
- wordFor(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
- wordFor(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
- wordFor(long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
- WordFreqAccumulator - Class in org.deeplearning4j.spark.text.accumulators
-
- WordFreqAccumulator() - Constructor for class org.deeplearning4j.spark.text.accumulators.WordFreqAccumulator
-
- wordFrequencies - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
- wordFrequency(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
Returns the SequenceElement's frequency over training corpus
- wordFrequency(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
Returns the number of times the word has occurred
- wordFrequency(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Returns the number of times the word has occurred
- WordIdMap - Class in com.atilika.kuromoji.buffer
-
- WordIdMap(InputStream) - Constructor for class com.atilika.kuromoji.buffer.WordIdMap
-
- wordIdMap - Variable in class com.atilika.kuromoji.dict.TokenInfoDictionary
-
- WordIdMapCompiler - Class in com.atilika.kuromoji.compile
-
- WordIdMapCompiler() - Constructor for class com.atilika.kuromoji.compile.WordIdMapCompiler
-
- WordIdMapCompiler.GrowableIntArray - Class in com.atilika.kuromoji.compile
-
- WordIdMapCompilerTest - Class in com.atilika.kuromoji.compile
-
- WordIdMapCompilerTest() - Constructor for class com.atilika.kuromoji.compile.WordIdMapCompilerTest
-
- wordIdsCompiler - Variable in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
-
- words() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
Returns collection of labels available in this vocabulary
- words() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
Returns all of the words in the vocab
- words() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Returns all of the words in the vocab
- words() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
-
Returns sorted list of words in vocabulary.
- WordSimilarity() - Constructor for class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils.WordSimilarity
-
- WordsListToVocabWordsFunction - Class in org.deeplearning4j.spark.text.functions
-
- WordsListToVocabWordsFunction(Broadcast<VocabCache<VocabWord>>) - Constructor for class org.deeplearning4j.spark.text.functions.WordsListToVocabWordsFunction
-
- wordsNearest(String, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
-
- wordsNearest(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
-
- wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
-
Words nearest based on positive and negative words
* @param top the top n words
- wordsNearest(String, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.FlatModelUtils
-
This method does full scan against whole vocabulary, building descending list of similar words
- wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.FlatModelUtils
-
This method does full scan against whole vocabulary, building descending list of similar words
- wordsNearest(String, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.TreeModelUtils
-
This method returns nearest words for target word, based on tree structure.
- wordsNearest(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.TreeModelUtils
-
- wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.TreeModelUtils
-
- wordsNearest(String, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
-
This method implementations should return N nearest elements labels to given element's label
- wordsNearest(Collection<String>, Collection<String>, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
-
Words nearest based on positive and negative words
- wordsNearest(INDArray, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
-
Words nearest based on positive and negative words
* @param top the top n words
- wordsNearest(INDArray, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
-
- wordsNearest(Collection<String>, Collection<String>, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
-
Words nearest based on positive and negative words
- wordsNearest(String, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
-
Get the top n words most similar to the given word
- wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
Words nearest based on positive and negative words
* @param top the top n words
- wordsNearest(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
Words nearest based on positive and negative words
- wordsNearest(String, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
Get the top n words most similar to the given word
- wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
-
- wordsNearest(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
-
Words nearest based on positive and negative words
PLEASE NOTE: This method is not available in this implementation.
- wordsNearest(String, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
-
Get the top n words most similar to the given word
PLEASE NOTE: This method is not available in this implementation.
- wordsNearestSum(String, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
-
Get the top n words most similar to the given word
- wordsNearestSum(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
-
Words nearest based on positive and negative words
* @param top the top n words
- wordsNearestSum(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
-
Words nearest based on positive and negative words
- wordsNearestSum(String, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
-
- wordsNearestSum(INDArray, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
-
- wordsNearestSum(Collection<String>, Collection<String>, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
-
- wordsNearestSum(INDArray, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
-
- wordsNearestSum(String, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
-
Get the top n words most similar to the given word
- wordsNearestSum(Collection<String>, Collection<String>, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
-
Words nearest based on positive and negative words
- wordsNearestSum(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
Words nearest based on positive and negative words
- wordsNearestSum(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
Words nearest based on positive and negative words
* @param top the top n words
- wordsNearestSum(String, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
Get the top n words most similar to the given word
- wordsNearestSum(INDArray, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
-
- wordsNearestSum(String, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
-
Get the top n words most similar to the given word
PLEASE NOTE: This method is not available in this implementation.
- wordsNearestSum(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
-
Words nearest based on positive and negative words
PLEASE NOTE: This method is not available in this implementation.
- wordVectors(WordVectors) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
-
Provide the WordVectors instance that should be used for training
- WordVectors - Interface in org.deeplearning4j.models.embeddings.wordvectors
-
Word vectors.
- WordVectorSerializer - Class in org.deeplearning4j.models.embeddings.loader
-
This is utility class, providing various methods for WordVectors serialization
- WordVectorSerializer.BinaryReader - Class in org.deeplearning4j.models.embeddings.loader
-
- WordVectorSerializer.CSVReader - Class in org.deeplearning4j.models.embeddings.loader
-
- WordVectorSerializer.Reader - Interface in org.deeplearning4j.models.embeddings.loader
-
- WordVectorSerializerTest - Class in org.deeplearning4j.models
-
- WordVectorSerializerTest() - Constructor for class org.deeplearning4j.models.WordVectorSerializerTest
-
- WordVectorsImpl<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.wordvectors
-
Common word vector operations
- WordVectorsImpl() - Constructor for class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
- WordVectorsImplTest - Class in org.deeplearning4j.models.embeddings.wordvectors
-
- WordVectorsImplTest() - Constructor for class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImplTest
-
- WORKER_FLAT_MAP_DATA_SET_GET_TIMES_MS - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
-
- WORKER_FLAT_MAP_GET_INITIAL_MODEL_TIME_MS - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
-
- WORKER_FLAT_MAP_PROCESS_MINI_BATCH_TIMES_MS - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
-
- WORKER_FLAT_MAP_TOTAL_TIME_MS - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
-
- WorkerConfiguration - Class in org.deeplearning4j.spark.api
-
A simple configuration object (common settings for workers)
- WorkerConfiguration() - Constructor for class org.deeplearning4j.spark.api.WorkerConfiguration
-
- workerFlatMapDataSetGetTimesMs(List<EventStats>) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
-
- workerFlatMapGetInitialModelTimeMs(List<EventStats>) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
-
- workerFlatMapProcessMiniBatchTimesMs(List<EventStats>) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
-
- workerFlatMapTotalTimeMs(List<EventStats>) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
-
- workerID() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- workerID(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- workerID() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
-
- workerID(String) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
-
- workerID() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- workerID(String) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
-
- workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
-
- workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
-
- workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
-
- workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
-
- workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
-
- workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- workerIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- workerIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
-
- workerIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
-
- workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
-
- workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- workerPrefetchNumBatches(int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
-
Set the number of minibatches to asynchronously prefetch in the worker.
- workers - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
- workers - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
-
- workers(int) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
-
- workers - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
-
- workers(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
-
- workers(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
-
Deprecated.
- workers(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
-
This method defines maximum number of concurrent threads available for training
- workers - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
-
- workers(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
-
Sets number of worker threads to be used in calculations
- workers(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
This method defines maximum number of concurrent threads available for training
- workers - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
-
- workers(int) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
-
This method allows to configure number of workers that'll be used for parallel training
- workers - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
-
- workers(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
-
Specify number of workers for training process.
- workers - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
-
- workers(int) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
-
- workers(int) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
-
- wrap(DirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
-
- wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
-
- wrap(DirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
-
- wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentEncoder
-
- wrap(DirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
-
- wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
-
- wrap(StaticInfoDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
-
- wrap(StaticInfoDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
-
- wrap(StaticInfoDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
-
- wrap(DirectBuffer, int, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- wrap(StaticInfoEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
-
- wrap(StaticInfoEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
-
- wrap(StaticInfoEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
-
- wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- wrap(StorageMetaDataDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
-
- wrap(DirectBuffer, int, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
-
- wrap(StorageMetaDataEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder.ExtraMetaDataBytesEncoder
-
- wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
-
- wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
-
- wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
-
- wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
-
- wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
-
- wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
-
- wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
-
- wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
-
- wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
-
- wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
-
- wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
-
- wrap(DirectBuffer, int, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder
-
- wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
-
- wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
-
- wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
-
- wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
-
- wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
-
- wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
-
- wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
-
- wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
-
- wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder
-
- wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
-
- wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- wrap(DirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
-
- wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
-
- wrap(DirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
-
- wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
-
- writableConverter(String) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
-
- write(OutputStream) - Method in class com.atilika.kuromoji.buffer.StringValueMapBuffer
-
- write(String) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
-
- write(OutputStream) - Method in class com.atilika.kuromoji.compile.WordIdMapCompiler
-
- write(OutputStream, ByteBuffer) - Static method in class com.atilika.kuromoji.io.ByteBufferIO
-
- write(OutputStream) - Method in class com.atilika.kuromoji.trie.DoubleArrayTrie
-
- writeArray(OutputStream, int[]) - Static method in class com.atilika.kuromoji.io.IntegerArrayIO
-
- writeArray(OutputStream, String[]) - Static method in class com.atilika.kuromoji.io.StringArrayIO
-
- writeArray2D(OutputStream, int[][]) - Static method in class com.atilika.kuromoji.io.IntegerArrayIO
-
- writeArray2D(OutputStream, String[][]) - Static method in class com.atilika.kuromoji.io.StringArrayIO
-
- writeDictionary(String) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
-
- writeFullModel(Word2Vec, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
Deprecated.
- writeGraphVectors(DeepWalk, String) - Static method in class org.deeplearning4j.graph.models.loader.GraphVectorSerializer
-
- writeImageToPpm(int[][], String) - Static method in class org.deeplearning4j.datasets.mnist.MnistManager
-
Writes the given image in the given file using the PPM data format.
- writeLinesTo(String) - Method in class org.deeplearning4j.util.StringGrid
-
- writeMap(String, FeatureInfoMap) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
-
- writeModel(Model, File, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
-
Write a model to a file
- writeModel(Model, String, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
-
Write a model to a file path
- writeModel(Model, OutputStream, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
-
Write a model to an output stream
- writeObject(CoOccurrenceWeight<T>) - Method in class org.deeplearning4j.models.glove.count.ASCIICoOccurrenceWriter
-
- writeObject(CoOccurrenceWeight<T>) - Method in class org.deeplearning4j.models.glove.count.BinaryCoOccurrenceWriter
-
- writeObject(CoOccurrenceWeight<T>) - Method in interface org.deeplearning4j.models.glove.count.CoOccurrenceWriter
-
This method implementations should write out objects immediately
- writeObject(Serializable, OutputStream) - Static method in class org.deeplearning4j.util.SerializationUtils
-
Writes the object to the output stream
THIS DOES NOT FLUSH THE STREAMMultiLayerNetwork
- writeObjectToFile(String, Object, JavaSparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
-
Write an object to HDFS (or local) using default Java object serialization
- writeObjectToFile(String, Object, SparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
-
Write an object to HDFS (or local) using default Java object serialization
- writeParagraphVectors(ParagraphVectors, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
This method saves ParagraphVectors model into compressed zip file
- writeParagraphVectors(ParagraphVectors, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
This method saves ParagraphVectors model into compressed zip file located at path
- writeParagraphVectors(ParagraphVectors, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
This method saves ParagraphVectors model into compressed zip file and sends it to output stream
- writeSequenceVectors(SequenceVectors<T>, SequenceElementFactory<T>, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
This method saves specified SequenceVectors model to target file path
- writeSequenceVectors(SequenceVectors<T>, SequenceElementFactory<T>, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
This method saves specified SequenceVectors model to target file
- writeSequenceVectors(SequenceVectors<T>, SequenceElementFactory<T>, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
This method saves specified SequenceVectors model to target OutputStream
- writeSparseArray2D(OutputStream, int[][]) - Static method in class com.atilika.kuromoji.io.IntegerArrayIO
-
- writeSparseArray2D(OutputStream, String[][]) - Static method in class com.atilika.kuromoji.io.StringArrayIO
-
- writeStringToFile(String, String, JavaSparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
-
Write a String to a file (on HDFS or local) in UTF-8 format
- writeStringToFile(String, String, SparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
-
Write a String to a file (on HDFS or local) in UTF-8 format
- writeTsneFormat(Glove, INDArray, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
Write the tsne format
- writeTsneFormat(Word2Vec, INDArray, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
Write the tsne format
- writeVocabCache(VocabCache<VocabWord>, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
This method saves vocab cache to provided File.
- writeVocabCache(VocabCache<VocabWord>, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
This method saves vocab cache to provided OutputStream.
- writeWord2VecModel(Word2Vec, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
This method saves Word2Vec model into compressed zip file and sends it to output stream
PLEASE NOTE: This method saves FULL model, including syn0 AND syn1
- writeWord2VecModel(Word2Vec, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
This method saves Word2Vec model into compressed zip file and sends it to output stream
PLEASE NOTE: This method saves FULL model, including syn0 AND syn1
- writeWord2VecModel(Word2Vec, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
This method saves Word2Vec model into compressed zip file and sends it to output stream
PLEASE NOTE: This method saves FULL model, including syn0 AND syn1
- writeWordIds(String) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
-
- writeWordVectors(WeightLookupTable<T>, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
This mehod writes word vectors to the given path.
- writeWordVectors(WeightLookupTable<T>, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
This mehod writes word vectors to the given file.
- writeWordVectors(WeightLookupTable<T>, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
This mehod writes word vectors to the given OutputStream.
- writeWordVectors(ParagraphVectors, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
Deprecated.
- writeWordVectors(ParagraphVectors, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
Deprecated.
- writeWordVectors(Glove, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
This method saves GloVe model to the given output stream.
- writeWordVectors(Glove, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
This method saves GloVe model to the given output stream.
- writeWordVectors(Glove, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
This method saves GloVe model to the given OutputStream
- writeWordVectors(ParagraphVectors, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
Deprecated.
- writeWordVectors(InMemoryLookupTable, InMemoryLookupCache, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
Deprecated.
- writeWordVectors(Word2Vec, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
Deprecated.
- writeWordVectors(Word2Vec, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
Deprecated.
- writeWordVectors(Word2Vec, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
Deprecated.
- writeWordVectors(Word2Vec, BufferedWriter) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
-
Deprecated.
- WRONG - Static variable in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
-