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

Packages that use UnsupervisedGraphWiseModelConfig.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 UnsupervisedGraphWiseModelConfig.LossFunction in oracle.pgx.api.mllib

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

Modifier and Type	Method and Description
UnsupervisedGraphWiseModelConfig.LossFunction	UnsupervisedGraphWiseModel.getLossFunction() Gets the loss function

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

Modifier and Type	Method and Description
UnsupervisedGraphWiseModelBuilder	UnsupervisedGraphWiseModelBuilder.setLossFunction(UnsupervisedGraphWiseModelConfig.LossFunction lossFunction) Sets the loss function for the algorithm.
UnsupervisedAnomalyDetectionGraphWiseModelBuilder	UnsupervisedAnomalyDetectionGraphWiseModelBuilder.setLossFunction(UnsupervisedGraphWiseModelConfig.LossFunction lossFunction) Sets the loss function for the algorithm.

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

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

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

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

Modifier and Type	Method and Description
UnsupervisedGraphWiseModelConfig.LossFunction	UnsupervisedGraphWiseModelConfig.getLossFunction()
static UnsupervisedGraphWiseModelConfig.LossFunction	UnsupervisedGraphWiseModelConfig.LossFunction.valueOf(java.lang.String name) Returns the enum constant of this type with the specified name.
static UnsupervisedGraphWiseModelConfig.LossFunction[]	UnsupervisedGraphWiseModelConfig.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 UnsupervisedGraphWiseModelConfig.LossFunction

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

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

Constructor and Description

UnsupervisedGraphWiseModelConfig(int batchSize, int numEpochs, double learningRate, double weightDecay, int embeddingDim, java.lang.Integer seed, GraphWiseBaseConvLayerConfig[] convLayerConfigs, boolean standardize, boolean normalize, 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>> targetVertexLabels, boolean fitted, double trainingLoss, int inputFeatureDim, int inputEdgeFeatureDim, UnsupervisedGraphWiseModelConfig.LossFunction lossFunction, GraphWiseDgiLayerConfig dgiLayerConfig, GraphWiseEmbeddingConfig embeddingConfig, GraphWiseBaseModelConfig.Backend backend, GraphWiseModelConfig.GraphConvModelVariant variant)