Uses of Class
oracle.pgx.config.mllib.edgecombination.EdgeCombinationMethod

Packages that use EdgeCombinationMethod

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.
oracle.pgx.config.mllib.edgecombination	This package contains edge embedding methods for edgewise models.

Uses of EdgeCombinationMethod in oracle.pgx.api.mllib

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

Modifier and Type	Method	Description
EdgeCombinationMethod	EdgeWiseModel.getEdgeCombinationMethod()	Gets the edge embedding method used to produce the embedding

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

Modifier and Type	Method	Description
Self	EdgeWiseModelBuilder.setEdgeCombinationMethod(EdgeCombinationMethod edgeCombinationMethod)	Sets the edge embedding method for the algorithm.

Uses of EdgeCombinationMethod in oracle.pgx.config.mllib

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

Modifier and Type	Method	Description
EdgeCombinationMethod	EdgeWiseModelConfig.getEdgeCombinationMethod()

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

Modifier and Type	Method	Description
void	EdgeWiseModelConfig.setEdgeCombinationMethod(EdgeCombinationMethod edgeCombinationMethod)

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

Constructor	Description
EdgeWiseModelConfig(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, boolean fitted, double trainingLoss, int vertexInputFeatureDim, int edgeInputFeatureDim, java.util.List<java.util.Set<java.lang.String>> targetEdgeLabelSets, GraphWiseBaseModelConfig.Backend backend, java.lang.Integer edgeEmbeddingDim, EdgeWiseModelConfig.EdgeWiseConvModelVariant variant, EdgeCombinationMethod edgeCombinationMethod, boolean enableAccelerator, GraphWiseValidationConfig validationConfig)
SupervisedEdgeWiseModelConfig(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, oracle.pgx.config.mllib.SupervisedEdgeWiseModelConfig.LossFunction lossFunction, LossFunction lossFunctionClass, BatchGenerator batchGenerator, GraphWisePredictionLayerConfig[] predictionLayerConfigs, boolean normalize, java.lang.String edgeTargetPropertyName, LabelMaps labelMaps, GraphWiseBaseModelConfig.Backend backend, EdgeCombinationMethod edgeCombinationMethod, EdgeWiseModelConfig.EdgeWiseConvModelVariant variant, boolean enableAccelerator, GraphWiseValidationConfig validationConfig)
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, boolean enableAccelerator, GraphWiseValidationConfig validationConfig)

Uses of EdgeCombinationMethod in oracle.pgx.config.mllib.edgecombination

Subclasses of EdgeCombinationMethod in oracle.pgx.config.mllib.edgecombination

Modifier and Type	Class	Description
class	ConcatEdgeCombinationMethod
class	ProductEdgeCombinationMethod