Uses of Interface
oracle.pgx.config.mllib.GraphWiseEmbeddingConfig

Packages that use GraphWiseEmbeddingConfig

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 GraphWiseEmbeddingConfig in oracle.pgx.api.mllib

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

Modifier and Type	Method and Description
GraphWiseEmbeddingConfig	UnsupervisedGraphWiseModel.getEmbeddingConfig() Gets the configuration object for the embedding method

Methods in oracle.pgx.api.mllib with parameters of type GraphWiseEmbeddingConfig

Modifier and Type	Method and Description
UnsupervisedAnomalyDetectionGraphWiseModelBuilder	UnsupervisedAnomalyDetectionGraphWiseModelBuilder.setEmbeddingConfig(GraphWiseEmbeddingConfig embeddingConfig) Set the embedding configuration (See GraphWiseEmbeddingConfig.
UnsupervisedGraphWiseModelBuilder	UnsupervisedGraphWiseModelBuilder.setEmbeddingConfig(GraphWiseEmbeddingConfig embeddingConfig) Set the embedding configuration (See GraphWiseEmbeddingConfig.

Uses of GraphWiseEmbeddingConfig in oracle.pgx.config.mllib

Classes in oracle.pgx.config.mllib that implement GraphWiseEmbeddingConfig

Modifier and Type	Class and Description
class	GraphWiseDgiLayerConfig Configuration class for DGI layers.
class	GraphWiseDominantLayerConfig Configuration class for Dominant layers.

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

Modifier and Type	Method and Description
GraphWiseEmbeddingConfig	UnsupervisedGraphWiseModelConfig.getEmbeddingConfig()

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

Modifier and Type	Method and Description
void	UnsupervisedGraphWiseModelConfig.setEmbeddingConfig(GraphWiseEmbeddingConfig embeddingConfig)

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

Constructor and Description

UnsupervisedGraphWiseModelConfig(int batchSize, int numEpochs, double learningRate, double weightDecay, int embeddingDim, java.lang.Integer seed, GraphWiseConvLayerConfig[] 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)