Uses of Class
oracle.pgx.api.mllib.DeepWalkModelBuilder

Packages that use DeepWalkModelBuilder

Package	Description
oracle.pgx.api	This package contains the main Java APIs.
oracle.pgx.api.mllib	This package contains graph machine learning tools for use with PGX.

Uses of DeepWalkModelBuilder in oracle.pgx.api

Methods in oracle.pgx.api that return DeepWalkModelBuilder

Modifier and Type	Method	Description
DeepWalkModelBuilder	Analyst.deepWalkModelBuilder()	Builder for Deepwalk model

Uses of DeepWalkModelBuilder in oracle.pgx.api.mllib

Methods in oracle.pgx.api.mllib that return DeepWalkModelBuilder

Modifier and Type	Method	Description
DeepWalkModelBuilder	DeepWalkModelBuilder.setBatchSize(int batchSize)	Sets the batch size for training the model (default: 128)
DeepWalkModelBuilder	DeepWalkModelBuilder.setEnableAccelerator(boolean enableAccelerator)	If true, use the accelerator (GPU) if available as the machine learning backend.
DeepWalkModelBuilder	DeepWalkModelBuilder.setIgnoreIsolated(boolean ignoreIsolated)	Whether to ignore isolated vertices.
DeepWalkModelBuilder	DeepWalkModelBuilder.setLayerSize(int layerSize)	Sets the number of dimensions for the output vectors (default: 200)
DeepWalkModelBuilder	DeepWalkModelBuilder.setLearningRate(double lr)	Sets the initial learning rate (default: 0.025)
DeepWalkModelBuilder	DeepWalkModelBuilder.setMinLearningRate(double minLr)	Sets the minimum learning rate (default: 0.0001)
DeepWalkModelBuilder	DeepWalkModelBuilder.setMinWordFrequency(int minWordFrequency)	Sets the minimum word frequency to consider before pruning (default: 1)
DeepWalkModelBuilder	DeepWalkModelBuilder.setNegativeSample(int negativeSample)	Sets the number of negative samples (default: 10)
DeepWalkModelBuilder	DeepWalkModelBuilder.setNumEpochs(int numEpochs)	Sets the number of epochs to train the model (default: 2)
DeepWalkModelBuilder	DeepWalkModelBuilder.setSampleRate(double sampleRate)	Sets the sample rate (default: 0.0) Used to subsample frequent nodes.
DeepWalkModelBuilder	DeepWalkModelBuilder.setSeed(java.lang.Long seed)	Sets the random seed for training the model.
DeepWalkModelBuilder	DeepWalkModelBuilder.setShuffle(boolean shuffle)	Sets whether to shuffle the random walks before training on them
DeepWalkModelBuilder	DeepWalkModelBuilder.setWalkLength(int walkLength)	Sets the length of the walks (default: 5)
DeepWalkModelBuilder	DeepWalkModelBuilder.setWalksPerVertex(int walksPerVertex)	Sets the number of walks to consider per vertex (default: 4)
DeepWalkModelBuilder	DeepWalkModelBuilder.setWindowSize(int windowSize)	Sets the window size to consider while training the model (default: 5)