Uses of Class
oracle.pgx.config.mllib.GraphWiseDgiLayerConfig

Packages that use GraphWiseDgiLayerConfig

Package	Description
oracle.pgx.api.mllib	This package contains graph machine learning tools for use with PGX.
oracle.pgx.config.mllib	This package contains APIs to all graph machine learning features of PGX.

Uses of GraphWiseDgiLayerConfig in oracle.pgx.api.mllib

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

Modifier and Type	Method and Description
GraphWiseDgiLayerConfig	GraphWiseDgiLayerConfigBuilder.build() Build the configuration
GraphWiseDgiLayerConfig	UnsupervisedGraphWiseModel.getDgiLayerConfigs() Gets the configuration object for the dgi layer

Methods in oracle.pgx.api.mllib with parameters of type GraphWiseDgiLayerConfig

Modifier and Type	Method and Description
UnsupervisedGraphWiseModelBuilder	UnsupervisedGraphWiseModelBuilder.setDgiLayerConfig(GraphWiseDgiLayerConfig layerConfig) Set the dgi layer configurations (See GraphWiseDgiLayerConfig.

Uses of GraphWiseDgiLayerConfig in oracle.pgx.config.mllib

Fields in oracle.pgx.config.mllib declared as GraphWiseDgiLayerConfig

Modifier and Type	Field and Description
static GraphWiseDgiLayerConfig	UnsupervisedGraphWiseModelConfig.DEFAULT_DGI_LAYER_CONFIG one default initialized config (See GraphWisePredictionLayerConfig)

Methods in oracle.pgx.config.mllib that return GraphWiseDgiLayerConfig

Modifier and Type	Method and Description
GraphWiseDgiLayerConfig	UnsupervisedGraphWiseModelConfig.getDgiLayerConfig()

Methods in oracle.pgx.config.mllib with parameters of type GraphWiseDgiLayerConfig

Modifier and Type	Method and Description
void	UnsupervisedGraphWiseModelConfig.setDgiLayerConfig(GraphWiseDgiLayerConfig dgiLayerConfig)

Constructors in oracle.pgx.config.mllib with parameters of type GraphWiseDgiLayerConfig

Constructor and Description

UnsupervisedGraphWiseModelConfig(int batchSize, int numEpochs, double learningRate, double weightDecay, int embeddingDim, java.lang.Integer seed, GraphWiseConvLayerConfig[] convLayerConfigs, boolean standardize, boolean shuffle, java.util.List<java.lang.String> vertexInputPropertyNames, java.util.List<java.lang.String> edgeInputPropertyNames, java.util.List<java.util.Set<java.lang.String>> targetVertexLabels, boolean fitted, double trainingLoss, int inputFeatureDim, int inputEdgeFeatureDim, UnsupervisedGraphWiseModelConfig.LossFunction lossFunction, GraphWiseDgiLayerConfig dgiLayerConfig, GraphWiseModelConfig.Backend backend, GraphWiseModelConfig.GraphConvModelVariant variant)