Index (deeplearning4j-graph 1.0.0-M2.1 API)

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

A

addEdge(int, int, E, boolean) - Method in class org.deeplearning4j.graph.api.BaseGraph
addEdge(int, int, E, boolean) - Method in interface org.deeplearning4j.graph.api.IGraph: Convenience method for adding an edge (directed or undirected) to graph
addEdge(Edge<E>) - Method in interface org.deeplearning4j.graph.api.IGraph: Add an edge to the graph.
addEdge(Edge<E>) - Method in class org.deeplearning4j.graph.Graph

B

BaseGraph<V,E> - Class in org.deeplearning4j.graph.api
BaseGraph() - Constructor for class org.deeplearning4j.graph.api.BaseGraph
BinaryTree - Interface in org.deeplearning4j.graph.models
build() - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder
Builder() - Constructor for class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder
buildTree(int[]) - Method in class org.deeplearning4j.graph.models.deepwalk.GraphHuffman: Build the Huffman tree given an array of vertex degrees

C

calculateProb(int, int) - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable: Calculate the probability of the second vertex given the first vertex i.e., P(v_second | v_first)
calculateScore(int, int) - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable: Calculate score.
create(int) - Method in class org.deeplearning4j.graph.vertexfactory.IntegerVertexFactory
create(int) - Method in class org.deeplearning4j.graph.vertexfactory.StringVertexFactory
create(int) - Method in interface org.deeplearning4j.graph.vertexfactory.VertexFactory
create(int) - Method in class org.deeplearning4j.graph.vertexfactory.VoidVertexFactory

D

DeepWalk<V,E> - Class in org.deeplearning4j.graph.models.deepwalk
DeepWalk() - Constructor for class org.deeplearning4j.graph.models.deepwalk.DeepWalk
DeepWalk.Builder<V,E> - Class in org.deeplearning4j.graph.models.deepwalk
DelimitedEdgeLineProcessor - Class in org.deeplearning4j.graph.data.impl
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

E

Edge<T> - Class in org.deeplearning4j.graph.api
Edge(int, int, T, boolean) - Constructor for class org.deeplearning4j.graph.api.Edge
EdgeLineProcessor<E> - Interface in org.deeplearning4j.graph.data
equals(Object) - Method in class org.deeplearning4j.graph.api.Edge
equals(Object) - Method in class org.deeplearning4j.graph.api.Vertex
equals(Object) - Method in class org.deeplearning4j.graph.Graph
EXCEPTION_ON_DISCONNECTED - org.deeplearning4j.graph.api.NoEdgeHandling
expTable - Variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable

F

fit(IGraph<V, E>, int) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk: Fit the model, in parallel.
fit(GraphWalkIterator<V>) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk: Fit the DeepWalk model using a single thread using a given GraphWalkIterator.
fit(GraphWalkIteratorProvider<V>) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk: Fit the model, in parallel, using a given GraphWalkIteratorProvider.
This object is used to generate multiple GraphWalkIterators, which can then be distributed to each thread to do in parallel
Note that DeepWalk.fit(IGraph, int) will be more convenient in many cases
Note that DeepWalk.initialize(IGraph) or DeepWalk.initialize(int[]) must be called first.

G

getCode(int) - Method in interface org.deeplearning4j.graph.models.BinaryTree
getCode(int) - Method in class org.deeplearning4j.graph.models.deepwalk.GraphHuffman
getCodeLength(int) - Method in interface org.deeplearning4j.graph.models.BinaryTree
getCodeLength(int) - Method in class org.deeplearning4j.graph.models.deepwalk.GraphHuffman
getCodeString(int) - Method in interface org.deeplearning4j.graph.models.BinaryTree
getCodeString(int) - Method in class org.deeplearning4j.graph.models.deepwalk.GraphHuffman
getConnectedVertexIndices(int) - Method in interface org.deeplearning4j.graph.api.IGraph: Return an array of indexes of vertices that the specified vertex is connected to.
Specifically, for undirected graphs return int[] of all X.vertexID() such that (vertex -- X) exists
For directed graphs, return int[] of all X.vertexID() such that (vertex -> X) exists
getConnectedVertexIndices(int) - Method in class org.deeplearning4j.graph.Graph
getConnectedVertices(int) - Method in interface org.deeplearning4j.graph.api.IGraph: Get a list of all of the vertices that the specified vertex is connected to
Specifically, for undirected graphs return list of all X such that (vertex -- X) exists
For directed graphs, return list of all X such that (vertex -> X) exists
getConnectedVertices(int) - Method in class org.deeplearning4j.graph.Graph
getEdgesOut(int) - Method in interface org.deeplearning4j.graph.api.IGraph: Returns a list of edges for a vertex with a given index For undirected graphs, returns all edges incident on the vertex For directed graphs, only returns outward directed edges
getEdgesOut(int) - Method in class org.deeplearning4j.graph.Graph
getGraph() - Method in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
getGraph() - Method in interface org.deeplearning4j.graph.models.GraphVectors
getGraphWalkIterators(int) - Method in interface org.deeplearning4j.graph.iterator.parallel.GraphWalkIteratorProvider: Get a list of GraphWalkIterators.
getGraphWalkIterators(int) - Method in class org.deeplearning4j.graph.iterator.parallel.RandomWalkGraphIteratorProvider
getGraphWalkIterators(int) - Method in class org.deeplearning4j.graph.iterator.parallel.WeightedRandomWalkGraphIteratorProvider
getInnerNodeVector(int) - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
getLearningRate() - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
getNumVertices() - Method in interface org.deeplearning4j.graph.models.embeddings.GraphVectorLookupTable: Returns the number of vertices in the graph
getNumVertices() - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
getOutWeights() - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
getPathInnerNodes(int) - Method in interface org.deeplearning4j.graph.models.BinaryTree
getPathInnerNodes(int) - Method in class org.deeplearning4j.graph.models.deepwalk.GraphHuffman
getRandomConnectedVertex(int, Random) - Method in interface org.deeplearning4j.graph.api.IGraph: Randomly sample a vertex connected to a given vertex.
getRandomConnectedVertex(int, Random) - Method in class org.deeplearning4j.graph.Graph
getTree() - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
getValue() - Method in class org.deeplearning4j.graph.api.Vertex
getVector(int) - Method in interface org.deeplearning4j.graph.models.embeddings.GraphVectorLookupTable: Get the vector for the vertex with index idx
getVector(int) - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
getVectorSize() - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
getVectorSize() - Method in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
getVectorSize() - Method in interface org.deeplearning4j.graph.models.GraphVectors
getVertex(int) - Method in interface org.deeplearning4j.graph.api.IGraph: Get a vertex in the graph for a given index
getVertex(int) - Method in class org.deeplearning4j.graph.Graph
getVertexDegree(int) - Method in interface org.deeplearning4j.graph.api.IGraph: Returns the degree of the vertex.
For undirected graphs, this is just the degree.
For directed graphs, this returns the outdegree
getVertexDegree(int) - Method in class org.deeplearning4j.graph.Graph
getVertexVector(int) - Method in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
getVertexVector(int) - Method in interface org.deeplearning4j.graph.models.GraphVectors
getVertexVector(Vertex<V>) - Method in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
getVertexVector(Vertex<V>) - Method in interface org.deeplearning4j.graph.models.GraphVectors
getVertexVectors() - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
getVertices(int[]) - Method in interface org.deeplearning4j.graph.api.IGraph: Get multiple vertices in the graph
getVertices(int[]) - Method in class org.deeplearning4j.graph.Graph
getVertices(int, int) - Method in interface org.deeplearning4j.graph.api.IGraph: Get multiple vertices in the graph, with secified indices
getVertices(int, int) - Method in class org.deeplearning4j.graph.Graph
getWindowSize() - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
graph - Variable in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
Graph<V,E> - Class in org.deeplearning4j.graph
Graph(int, boolean, VertexFactory<V>) - Constructor for class org.deeplearning4j.graph.Graph
Graph(int, VertexFactory<V>) - Constructor for class org.deeplearning4j.graph.Graph
Graph(List<Vertex<V>>) - Constructor for class org.deeplearning4j.graph.Graph
Graph(List<Vertex<V>>, boolean) - Constructor for class org.deeplearning4j.graph.Graph
GraphHuffman - Class in org.deeplearning4j.graph.models.deepwalk
GraphHuffman(int) - Constructor for class org.deeplearning4j.graph.models.deepwalk.GraphHuffman
GraphHuffman(int, int) - Constructor for class org.deeplearning4j.graph.models.deepwalk.GraphHuffman
GraphLoader - Class in org.deeplearning4j.graph.data: Utility methods for loading graphs
GraphVectorLookupTable - Interface in org.deeplearning4j.graph.models.embeddings
GraphVectors<V,E> - Interface in org.deeplearning4j.graph.models
GraphVectorSerializer - Class in org.deeplearning4j.graph.models.loader
GraphVectorsImpl<V,E> - Class in org.deeplearning4j.graph.models.embeddings
GraphVectorsImpl() - Constructor for class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
GraphWalkIterator<T> - Interface in org.deeplearning4j.graph.iterator
GraphWalkIteratorProvider<V> - Interface in org.deeplearning4j.graph.iterator.parallel

H

hashCode() - Method in class org.deeplearning4j.graph.api.Edge
hashCode() - Method in class org.deeplearning4j.graph.api.Vertex
hashCode() - Method in class org.deeplearning4j.graph.Graph
hasNext() - Method in interface org.deeplearning4j.graph.iterator.GraphWalkIterator: Whether the iterator has any more vertex sequences.
hasNext() - Method in class org.deeplearning4j.graph.iterator.RandomWalkIterator
hasNext() - Method in class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
hasNext() - Method in class org.deeplearning4j.graph.VertexSequence

I

IGraph<V,E> - Interface in org.deeplearning4j.graph.api
initialize(int[]) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk: Initialize the DeepWalk model with a list of vertex degrees for a graph.
Specifically, graphVertexDegrees[i] represents the vertex degree of the ith vertex
vertex degrees are used to construct a binary (Huffman) tree, which is in turn used in the hierarchical softmax implementation
initialize(IGraph<V, E>) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk: Initialize the DeepWalk model with a given graph.
InMemoryGraphLookupTable - Class in org.deeplearning4j.graph.models.embeddings
InMemoryGraphLookupTable(int, int, BinaryTree, double) - Constructor for class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
IntegerVertexFactory - Class in org.deeplearning4j.graph.vertexfactory
IntegerVertexFactory() - Constructor for class org.deeplearning4j.graph.vertexfactory.IntegerVertexFactory
iterate(int, int) - Method in interface org.deeplearning4j.graph.models.embeddings.GraphVectorLookupTable: Conduct learning given a pair of vertices (in and out)
iterate(int, int) - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
IVertexSequence<T> - Interface in org.deeplearning4j.graph.api

L

learningRate - Variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
learningRate(double) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder: Set the learning rate
loadGraph(String, String, VertexLoader<V>, EdgeLineProcessor<E>, boolean) - Static method in class org.deeplearning4j.graph.data.GraphLoader: Load graph, assuming vertices are in one file and edges are in another file.
loadGraph(String, EdgeLineProcessor<E>, VertexFactory<V>, int, boolean) - Static method in class org.deeplearning4j.graph.data.GraphLoader: Load a graph into memory, using a given EdgeLineProcessor.
loadTxtVectors(File) - Static method in class org.deeplearning4j.graph.models.loader.GraphVectorSerializer
loadUndirectedGraphEdgeListFile(String, int, String) - Static method in class org.deeplearning4j.graph.data.GraphLoader: Simple method for loading an undirected graph, where the graph is represented by a edge list with one edge per line with a delimiter in between
This method assumes that all lines in the file are of the form i<delim>j where i and j are integers in range 0 to numVertices inclusive, and "" is the user-provided delimiter Note: this method calls GraphLoader.loadUndirectedGraphEdgeListFile(String, int, String, boolean) with allowMultipleEdges = true.
loadUndirectedGraphEdgeListFile(String, int, String, boolean) - Static method in class org.deeplearning4j.graph.data.GraphLoader: Simple method for loading an undirected graph, where the graph is represented by a edge list with one edge per line with a delimiter in between
This method assumes that all lines in the file are of the form i<delim>j where i and j are integers in range 0 to numVertices inclusive, and "" is the user-provided delimiter
loadVertices(String) - Method in class org.deeplearning4j.graph.data.impl.DelimitedVertexLoader
loadVertices(String) - Method in interface org.deeplearning4j.graph.data.VertexLoader
loadWeightedEdgeListFile(String, int, String, boolean, boolean, String...) - Static method in class org.deeplearning4j.graph.data.GraphLoader: Method for loading a weighted graph from an edge list file, where each edge (inc.
loadWeightedEdgeListFile(String, int, String, boolean, String...) - Static method in class org.deeplearning4j.graph.data.GraphLoader: Method for loading a weighted graph from an edge list file, where each edge (inc.
lookupTable - Variable in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
lookupTable() - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk

M

MAX_EXP - Static variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable

N

next() - Method in interface org.deeplearning4j.graph.iterator.GraphWalkIterator: Get the next vertex sequence.
next() - Method in class org.deeplearning4j.graph.iterator.RandomWalkIterator
next() - Method in class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
next() - Method in class org.deeplearning4j.graph.VertexSequence
NoEdgeHandling - Enum in org.deeplearning4j.graph.api
NoEdgesException - Exception in org.deeplearning4j.graph.exception
NoEdgesException() - Constructor for exception org.deeplearning4j.graph.exception.NoEdgesException
NoEdgesException(String) - Constructor for exception org.deeplearning4j.graph.exception.NoEdgesException
NoEdgesException(String, Exception) - Constructor for exception org.deeplearning4j.graph.exception.NoEdgesException
numVertices() - Method in interface org.deeplearning4j.graph.api.IGraph: Number of vertices in the graph
numVertices() - Method in class org.deeplearning4j.graph.Graph
numVertices() - Method in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
numVertices() - Method in interface org.deeplearning4j.graph.models.GraphVectors
nVertices - Variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable

O

org.deeplearning4j.graph - package org.deeplearning4j.graph
org.deeplearning4j.graph.api - package org.deeplearning4j.graph.api
org.deeplearning4j.graph.data - package org.deeplearning4j.graph.data
org.deeplearning4j.graph.data.impl - package org.deeplearning4j.graph.data.impl
org.deeplearning4j.graph.exception - package org.deeplearning4j.graph.exception
org.deeplearning4j.graph.iterator - package org.deeplearning4j.graph.iterator
org.deeplearning4j.graph.iterator.parallel - package org.deeplearning4j.graph.iterator.parallel
org.deeplearning4j.graph.models - package org.deeplearning4j.graph.models
org.deeplearning4j.graph.models.deepwalk - package org.deeplearning4j.graph.models.deepwalk
org.deeplearning4j.graph.models.embeddings - package org.deeplearning4j.graph.models.embeddings
org.deeplearning4j.graph.models.loader - package org.deeplearning4j.graph.models.loader
org.deeplearning4j.graph.vertexfactory - package org.deeplearning4j.graph.vertexfactory
outWeights - Variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable

P

ParseException - Exception in org.deeplearning4j.graph.exception
ParseException() - Constructor for exception org.deeplearning4j.graph.exception.ParseException
ParseException(String) - Constructor for exception org.deeplearning4j.graph.exception.ParseException
ParseException(String, Exception) - Constructor for exception org.deeplearning4j.graph.exception.ParseException
processLine(String) - Method in interface org.deeplearning4j.graph.data.EdgeLineProcessor: Process a line of text into an edge.
processLine(String) - Method in class org.deeplearning4j.graph.data.impl.DelimitedEdgeLineProcessor
processLine(String) - Method in class org.deeplearning4j.graph.data.impl.WeightedEdgeLineProcessor

R

RandomWalkGraphIteratorProvider<V> - Class in org.deeplearning4j.graph.iterator.parallel
RandomWalkGraphIteratorProvider(IGraph<V, ?>, int) - Constructor for class org.deeplearning4j.graph.iterator.parallel.RandomWalkGraphIteratorProvider
RandomWalkGraphIteratorProvider(IGraph<V, ?>, int, long, NoEdgeHandling) - Constructor for class org.deeplearning4j.graph.iterator.parallel.RandomWalkGraphIteratorProvider
RandomWalkIterator<V> - Class in org.deeplearning4j.graph.iterator
RandomWalkIterator(IGraph<V, ?>, int) - Constructor for class org.deeplearning4j.graph.iterator.RandomWalkIterator
RandomWalkIterator(IGraph<V, ?>, int, long) - Constructor for class org.deeplearning4j.graph.iterator.RandomWalkIterator: 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)
RandomWalkIterator(IGraph<V, ?>, int, long, NoEdgeHandling) - Constructor for class org.deeplearning4j.graph.iterator.RandomWalkIterator
RandomWalkIterator(IGraph<V, ?>, int, long, NoEdgeHandling, int, int) - Constructor for class org.deeplearning4j.graph.iterator.RandomWalkIterator: Constructor used to generate random walks starting at a subset of the vertices in the graph.
remove() - Method in class org.deeplearning4j.graph.VertexSequence
reset() - Method in interface org.deeplearning4j.graph.iterator.GraphWalkIterator: Reset the graph walk iterator.
reset() - Method in class org.deeplearning4j.graph.iterator.RandomWalkIterator
reset() - Method in class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
resetWeights() - Method in interface org.deeplearning4j.graph.models.embeddings.GraphVectorLookupTable: Reset (randomize) the weights.
resetWeights() - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable

S

seed(long) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder: Seed for random number generation (used for repeatability).
SELF_LOOP_ON_DISCONNECTED - org.deeplearning4j.graph.api.NoEdgeHandling
sequenceLength() - Method in interface org.deeplearning4j.graph.api.IVertexSequence: Length of the vertex sequence
sequenceLength() - Method in class org.deeplearning4j.graph.VertexSequence
setLearningRate(double) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
setLearningRate(double) - Method in interface org.deeplearning4j.graph.models.embeddings.GraphVectorLookupTable: Set the learning rate
setLearningRate(double) - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
setVertexVectors(INDArray) - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
similarity(int, int) - Method in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl: Returns the cosine similarity of the vector representations of two vertices in the graph, given the indices of these verticies
similarity(int, int) - Method in interface org.deeplearning4j.graph.models.GraphVectors
similarity(Vertex<V>, Vertex<V>) - Method in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl: Returns the cosine similarity of the vector representations of two vertices in the graph
similarity(Vertex<V>, Vertex<V>) - Method in interface org.deeplearning4j.graph.models.GraphVectors
STATUS_UPDATE_FREQUENCY - Static variable in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
StringVertexFactory - Class in org.deeplearning4j.graph.vertexfactory
StringVertexFactory() - Constructor for class org.deeplearning4j.graph.vertexfactory.StringVertexFactory
StringVertexFactory(String) - Constructor for class org.deeplearning4j.graph.vertexfactory.StringVertexFactory

T

toString() - Method in class org.deeplearning4j.graph.api.Edge
toString() - Method in class org.deeplearning4j.graph.api.Vertex
toString() - Method in class org.deeplearning4j.graph.Graph
tree - Variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable

V

valueOf(String) - Static method in enum org.deeplearning4j.graph.api.NoEdgeHandling: Returns the enum constant of this type with the specified name.
values() - Static method in enum org.deeplearning4j.graph.api.NoEdgeHandling: Returns an array containing the constants of this enum type, in the order they are declared.
vectorsAndGradients(int, int) - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable: Returns vertex vector and vector gradients, plus inner node vectors and inner node gradients
Specifically, out[0] are vectors, out[1] are gradients for the corresponding vectors
out[0][0] is vector for first vertex; out[0][1] is gradient for this vertex vector
out[0][i] (i>0) is the inner node vector along path to second vertex; out[1][i] is gradient for inner node vertex
This design is used primarily to aid in testing (numerical gradient checks)
vectorSize - Variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
vectorSize() - Method in interface org.deeplearning4j.graph.models.embeddings.GraphVectorLookupTable: The size of the vector representations
vectorSize() - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
vectorSize(int) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder: Sets the size of the vectors to be learned for each vertex in the graph
Vertex<T> - Class in org.deeplearning4j.graph.api
Vertex() - Constructor for class org.deeplearning4j.graph.api.Vertex
VertexFactory<T> - Interface in org.deeplearning4j.graph.vertexfactory
vertexID() - Method in class org.deeplearning4j.graph.api.Vertex
VertexLoader<V> - Interface in org.deeplearning4j.graph.data
VertexSequence<V> - Class in org.deeplearning4j.graph
VertexSequence(IGraph<V, ?>, int[]) - Constructor for class org.deeplearning4j.graph.VertexSequence
vertexVectors - Variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
verticesNearest(int, int) - Method in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
verticesNearest(int, int) - Method in interface org.deeplearning4j.graph.models.GraphVectors
VoidVertexFactory - Class in org.deeplearning4j.graph.vertexfactory
VoidVertexFactory() - Constructor for class org.deeplearning4j.graph.vertexfactory.VoidVertexFactory

W

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
WeightedEdgeLineProcessor - Class in org.deeplearning4j.graph.data.impl
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
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
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.
windowSize(int) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder: Sets the window size used in skipgram model
writeGraphVectors(DeepWalk, String) - Static method in class org.deeplearning4j.graph.models.loader.GraphVectorSerializer

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