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

Packages that use SupervisedGraphWiseModelBuilder

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 SupervisedGraphWiseModelBuilder in oracle.pgx.api

Methods in oracle.pgx.api that return SupervisedGraphWiseModelBuilder

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

Uses of SupervisedGraphWiseModelBuilder in oracle.pgx.api.mllib

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

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