Uses of Class oracle.pgx.config.mllib.EdgeWiseModelConfig.EdgeWiseConvModelVariant (Oracle Graph Java API Reference for Property Graph Release 24.3 (G10236-01))

Packages that use EdgeWiseModelConfig.EdgeWiseConvModelVariant
Package Description

oracle.pgx.config.mllib
This package contains APIs to all graph machine learning features of PGX.

Uses of EdgeWiseModelConfig.EdgeWiseConvModelVariant in oracle.pgx.config.mllib

Fields in oracle.pgx.config.mllib declared as EdgeWiseModelConfig.EdgeWiseConvModelVariant
Modifier and Type	Field	Description
`static EdgeWiseModelConfig.EdgeWiseConvModelVariant`	EdgeWiseModelConfig.`DEFAULT_MODE`	null

Methods in oracle.pgx.config.mllib that return EdgeWiseModelConfig.EdgeWiseConvModelVariant
Modifier and Type	Method	Description
`EdgeWiseModelConfig.EdgeWiseConvModelVariant`	EdgeWiseModelConfig.`getVariant()`
`static EdgeWiseModelConfig.EdgeWiseConvModelVariant`	EdgeWiseModelConfig.EdgeWiseConvModelVariant.`valueOf(java.lang.String name)`	Returns the enum constant of this type with the specified name.
`static EdgeWiseModelConfig.EdgeWiseConvModelVariant[]`	EdgeWiseModelConfig.EdgeWiseConvModelVariant.`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 EdgeWiseModelConfig.EdgeWiseConvModelVariant
Modifier and Type	Method	Description
`void`	EdgeWiseModelConfig.`setVariant(EdgeWiseModelConfig.EdgeWiseConvModelVariant variant)`

Constructors in oracle.pgx.config.mllib with parameters of type EdgeWiseModelConfig.EdgeWiseConvModelVariant
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)