Uses of Class oracle.pgx.api.mllib.Pg2vecModelBuilder (Oracle Graph Java API Reference for Property Graph Release 24.4 (G15027-01))

Packages that use Pg2vecModelBuilder
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 Pg2vecModelBuilder in oracle.pgx.api

Methods in oracle.pgx.api that return Pg2vecModelBuilder
Modifier and Type Method Description

Pg2vecModelBuilder Analyst.pg2vecModelBuilder()
Builds a pg2vec model

Uses of Pg2vecModelBuilder in oracle.pgx.api.mllib

Methods in oracle.pgx.api.mllib that return Pg2vecModelBuilder
Modifier and Type	Method	Description
`Pg2vecModelBuilder`	Pg2vecModelBuilder.`setBatchSize(int batchSize)`	Sets the batch size for training the model (default: 128)
`Pg2vecModelBuilder`	Pg2vecModelBuilder.`setEnableAccelerator(boolean enableAccelerator)`	If true, use the accelerator (GPU) if available as the machine learning backend.
`Pg2vecModelBuilder`	Pg2vecModelBuilder.`setGraphLetIdPropertyName(java.lang.String graphLetIdName)`	Sets the property name of the graphlet-id in the input graph (required input)
`Pg2vecModelBuilder`	Pg2vecModelBuilder.`setGraphletSizePropertyName(java.lang.String graphletSizePropertyName)`	Sets the property name for graphlet size (default: "graphletSize-Pg2vec")
`Pg2vecModelBuilder`	Pg2vecModelBuilder.`setLayerSize(int layerSize)`	Sets the number of dimensions for the output vectors (default: 200)
`Pg2vecModelBuilder`	Pg2vecModelBuilder.`setLearningRate(double lr)`	Sets the initial learning rate (default: 0.025)
`Pg2vecModelBuilder`	Pg2vecModelBuilder.`setMinLearningRate(double minLr)`	Sets the minimum learning rate (default: 0.0001)
`Pg2vecModelBuilder`	Pg2vecModelBuilder.`setMinWordFrequency(int minWordFrequency)`	Sets the minimum word frequency to consider before pruning (default: 1)
`Pg2vecModelBuilder`	Pg2vecModelBuilder.`setNumEpochs(int numEpochs)`	Sets the number of epochs to train the model (default: 2)
`Pg2vecModelBuilder`	Pg2vecModelBuilder.`setSeed(java.lang.Long seed)`	Sets the random seed for training the model.
`Pg2vecModelBuilder`	Pg2vecModelBuilder.`setShuffle(boolean shuffle)`	Sets whether to shuffle the random walks before training on them
`Pg2vecModelBuilder`	Pg2vecModelBuilder.`setUseGraphletSize(boolean useGraphletSize)`	Sets whether to use or not the graphlet size (default: true)
`Pg2vecModelBuilder`	Pg2vecModelBuilder.`setVertexPropertyNames(java.util.Collection<java.lang.String> vertexPropertyNames)`	Sets the property names to consider for pg2vec model training (required input)
`Pg2vecModelBuilder`	Pg2vecModelBuilder.`setWalkLength(int walkLength)`	Sets the length of the walks (default: 5)
`Pg2vecModelBuilder`	Pg2vecModelBuilder.`setWalksPerVertex(int walksPerVertex)`	Sets the number of walks to consider per vertex (default: 4)
`Pg2vecModelBuilder`	Pg2vecModelBuilder.`setWindowSize(int windowSize)`	Sets the window size to consider while training the model (default: 5)