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

Packages that use SupervisedEdgeWiseModelBuilder

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 SupervisedEdgeWiseModelBuilder in oracle.pgx.api

Methods in oracle.pgx.api that return SupervisedEdgeWiseModelBuilder

Modifier and Type	Method	Description
SupervisedEdgeWiseModelBuilder	Analyst.supervisedEdgeWiseModelBuilder()	Return a SupervisedEdgeWise model builder that can be used to set the configuration of the model and then create it.

Uses of SupervisedEdgeWiseModelBuilder in oracle.pgx.api.mllib

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

Modifier and Type	Method	Description
SupervisedEdgeWiseModelBuilder	SupervisedEdgeWiseModelBuilder.setBatchGenerator(BatchGenerator batchGenerator)	Sets the batch generator.
SupervisedEdgeWiseModelBuilder	SupervisedEdgeWiseModelBuilder.setClassWeights(java.util.Map<?,java.lang.Float> classWeights)	Set the class weights to be used in the loss function.
SupervisedEdgeWiseModelBuilder	SupervisedEdgeWiseModelBuilder.setEdgeTargetPropertyName(java.lang.String propertyName)	Set the target (labels) for the algorithm in the form of a property name of the graph.
SupervisedEdgeWiseModelBuilder	SupervisedEdgeWiseModelBuilder.setLossFunction(LossFunction lossFunction)	Sets the loss function for the algorithm.
SupervisedEdgeWiseModelBuilder	SupervisedEdgeWiseModelBuilder.setPredictionLayerConfigs(GraphWisePredictionLayerConfig... layerConfigs)	Set the prediction layer configurations (See GraphWisePredictionLayerConfig.