Uses of Class
oracle.pgx.config.mllib.UnsupervisedEdgeWiseModelConfig.LossFunction

Packages that use UnsupervisedEdgeWiseModelConfig.LossFunction

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 UnsupervisedEdgeWiseModelConfig.LossFunction in oracle.pgx.api.mllib

Methods in oracle.pgx.api.mllib that return UnsupervisedEdgeWiseModelConfig.LossFunction

Modifier and Type	Method and Description
UnsupervisedEdgeWiseModelConfig.LossFunction	UnsupervisedEdgeWiseModel.getLossFunction() Gets the loss function

Methods in oracle.pgx.api.mllib with parameters of type UnsupervisedEdgeWiseModelConfig.LossFunction

Modifier and Type	Method and Description
UnsupervisedEdgeWiseModelBuilder	UnsupervisedEdgeWiseModelBuilder.setLossFunction(UnsupervisedEdgeWiseModelConfig.LossFunction lossFunction) Sets the loss function for the algorithm.

Uses of UnsupervisedEdgeWiseModelConfig.LossFunction in oracle.pgx.config.mllib

Fields in oracle.pgx.config.mllib declared as UnsupervisedEdgeWiseModelConfig.LossFunction

Modifier and Type	Field and Description
static UnsupervisedEdgeWiseModelConfig.LossFunction	UnsupervisedEdgeWiseModelConfig.DEFAULT_LOSS_FUNCTION SIGMOID_CROSS_ENTROPY

Methods in oracle.pgx.config.mllib that return UnsupervisedEdgeWiseModelConfig.LossFunction

Modifier and Type	Method and Description
UnsupervisedEdgeWiseModelConfig.LossFunction	UnsupervisedEdgeWiseModelConfig.getLossFunction()
static UnsupervisedEdgeWiseModelConfig.LossFunction	UnsupervisedEdgeWiseModelConfig.LossFunction.valueOf(java.lang.String name) Returns the enum constant of this type with the specified name.
static UnsupervisedEdgeWiseModelConfig.LossFunction[]	UnsupervisedEdgeWiseModelConfig.LossFunction.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in oracle.pgx.config.mllib with parameters of type UnsupervisedEdgeWiseModelConfig.LossFunction

Modifier and Type	Method and Description
void	UnsupervisedEdgeWiseModelConfig.setLossFunction(UnsupervisedEdgeWiseModelConfig.LossFunction lossFunction)

Constructors in oracle.pgx.config.mllib with parameters of type UnsupervisedEdgeWiseModelConfig.LossFunction

Constructor and Description

UnsupervisedEdgeWiseModelConfig(int batchSize, int numEpochs, double learningRate, double weightDecay, int embeddingDim, java.lang.Integer edgeEmbeddingDim, java.lang.Integer seed, GraphWiseBaseConvLayerConfig[] convLayerConfigs, boolean standardize, boolean shuffle, java.util.List<java.lang.String> vertexInputPropertyNames, java.util.List<java.lang.String> edgeInputPropertyNames, java.util.Map<java.lang.String,InputPropertyConfig> vertexInputPropertyConfigs, java.util.Map<java.lang.String,InputPropertyConfig> edgeInputPropertyConfigs, oracle.pgx.config.internal.categorymapping.CategoryMappingConfig categoryMappingConfig, java.util.List<java.util.Set<java.lang.String>> targetEdgeLabelSets, boolean fitted, double trainingLoss, int inputFeatureDim, int edgeInputFeatureDim, UnsupervisedEdgeWiseModelConfig.LossFunction lossFunction, boolean normalize, GraphWiseBaseModelConfig.Backend backend, EdgeCombinationMethod edgeCombinationMethod, EdgeWiseModelConfig.EdgeWiseConvModelVariant variant, GraphWiseDgiLayerConfig dgiLayerConfig)