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

Packages that use GraphWisePredictionLayerConfig

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 GraphWisePredictionLayerConfig in oracle.pgx.api.mllib

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

Modifier and Type	Method and Description
GraphWisePredictionLayerConfig	GraphWisePredictionLayerConfigBuilder.build() Build the configuration
GraphWisePredictionLayerConfig[]	SupervisedGraphWiseModel.getPredictionLayerConfigs() Gets the configuration objects for the prediction layers

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

Modifier and Type	Method and Description
SupervisedGraphWiseModelBuilder	SupervisedGraphWiseModelBuilder.setPredictionLayerConfigs(GraphWisePredictionLayerConfig... layerConfigs) Set the prediction layer configurations (See GraphWisePredictionLayerConfig.

Uses of GraphWisePredictionLayerConfig in oracle.pgx.config.mllib

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

Modifier and Type	Field and Description
static GraphWisePredictionLayerConfig[]	SupervisedGraphWiseModelConfig.DEFAULT_PREDICTION_LAYER_CONFIGS one default initialized config (See GraphWisePredictionLayerConfig)

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

Modifier and Type	Method and Description
GraphWisePredictionLayerConfig[]	SupervisedGraphWiseModelConfig.getPredictionLayerConfigs()

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

Modifier and Type	Method and Description
void	SupervisedGraphWiseModelConfig.setPredictionLayerConfigs(GraphWisePredictionLayerConfig... predictionLayerConfigs)

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

Constructor and Description

SupervisedGraphWiseModelConfig(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>> targetVertexLabelSets, boolean fitted, double trainingLoss, int inputFeatureDim, int edgeInputFeatureDim, oracle.pgx.config.mllib.SupervisedGraphWiseModelConfig.LossFunction lossFunction, LossFunction lossFunctionClass, BatchGenerator batchGenerator, GraphWisePredictionLayerConfig[] predictionLayerConfigs, boolean normalize, java.lang.String vertexTargetPropertyName, LabelMaps labelMaps, GraphWiseModelConfig.Backend backend, GraphWiseModelConfig.GraphConvModelVariant variant)