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

Packages that use LabelMaps

Package	Description
oracle.pgx.config.mllib	This package contains APIs to all graph machine learning features of PGX.

Uses of LabelMaps in oracle.pgx.config.mllib

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

Modifier and Type	Method and Description
LabelMaps	SupervisedGraphWiseModelConfig.getLabelMaps()

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

Modifier and Type	Method and Description
void	SupervisedGraphWiseModelConfig.setLabelMaps(LabelMaps labelMaps)

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

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)