Uses of Class oracle.pgx.config.mllib.GraphWisePredictionLayerConfig (Oracle Graph Java API Reference for Property Graph Release 24.4 (G15027-01))

Packages that use GraphWisePredictionLayerConfig
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 GraphWisePredictionLayerConfig in oracle.pgx.api.mllib

Methods in oracle.pgx.api.mllib that return GraphWisePredictionLayerConfig
Modifier and Type	Method	Description
`GraphWisePredictionLayerConfig`	GraphWisePredictionLayerConfigBuilder.`build()`	Build the configuration
`GraphWisePredictionLayerConfig[]`	SupervisedEdgeWiseModel.`getPredictionLayerConfigs()`	Gets the configuration objects for the prediction layers
`GraphWisePredictionLayerConfig[]`	SupervisedGraphWiseModel.`getPredictionLayerConfigs()`	Gets the configuration objects for the prediction layers

Methods in oracle.pgx.api.mllib with parameters of type GraphWisePredictionLayerConfig
Modifier and Type	Method	Description
`GraphWiseDominantLayerConfigBuilder`	GraphWiseDominantLayerConfigBuilder.`setDecoderLayerConfigs(GraphWisePredictionLayerConfig... layerConfigs)`	Set the decoder layer configurations (See `GraphWisePredictionLayerConfig`.
`SupervisedEdgeWiseModelBuilder`	SupervisedEdgeWiseModelBuilder.`setPredictionLayerConfigs(GraphWisePredictionLayerConfig... layerConfigs)`	Set the prediction layer configurations (See `GraphWisePredictionLayerConfig`.
`SupervisedGraphWiseModelBuilder`	SupervisedGraphWiseModelBuilder.`setPredictionLayerConfigs(GraphWisePredictionLayerConfig... layerConfigs)`	Set the prediction layer configurations (See `GraphWisePredictionLayerConfig`.

Uses of GraphWisePredictionLayerConfig in oracle.pgx.config.mllib

Fields in oracle.pgx.config.mllib declared as GraphWisePredictionLayerConfig
Modifier and Type	Field	Description
`static GraphWisePredictionLayerConfig[]`	GraphWiseDominantLayerConfig.`DEFAULT_PREDICTION_LAYER_CONFIGS`	by default no prediction layer config
`static GraphWisePredictionLayerConfig[]`	SupervisedEdgeWiseModelConfig.`DEFAULT_PREDICTION_LAYER_CONFIGS`	one default initialized config (See `GraphWisePredictionLayerConfig`)
`static GraphWisePredictionLayerConfig[]`	SupervisedGraphWiseModelConfig.`DEFAULT_PREDICTION_LAYER_CONFIGS`	one default initialized config (See `GraphWisePredictionLayerConfig`)

Methods in oracle.pgx.config.mllib that return GraphWisePredictionLayerConfig
Modifier and Type	Method	Description
`GraphWisePredictionLayerConfig[]`	GraphWiseDominantLayerConfig.`getdecoderLayerConfigs()`	Gets the configuration objects for the decoder layers
`GraphWisePredictionLayerConfig[]`	SupervisedEdgeWiseModelConfig.`getPredictionLayerConfigs()`
`GraphWisePredictionLayerConfig[]`	SupervisedGraphWiseModelConfig.`getPredictionLayerConfigs()`

Methods in oracle.pgx.config.mllib with parameters of type GraphWisePredictionLayerConfig
Modifier and Type	Method	Description
`void`	GraphWiseDominantLayerConfig.`setDecoderLayerConfigs(GraphWisePredictionLayerConfig... decoderLayerConfigs)`	Sets the configuration objects for the decoder layers
`void`	SupervisedEdgeWiseModelConfig.`setPredictionLayerConfigs(GraphWisePredictionLayerConfig... predictionLayerConfigs)`
`void`	SupervisedGraphWiseModelConfig.`setPredictionLayerConfigs(GraphWisePredictionLayerConfig... predictionLayerConfigs)`

Constructors in oracle.pgx.config.mllib with parameters of type GraphWisePredictionLayerConfig
Constructor	Description
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)
SupervisedGraphWiseModelConfig(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>> targetVertexLabelSets, boolean fitted, double trainingLoss, int inputFeatureDim, int edgeInputFeatureDim, oracle.pgx.config.mllib.SupervisedGraphWiseModelConfig.LossFunction lossFunction, LossFunction lossFunctionClass, BatchGenerator batchGenerator, GraphWisePredictionLayerConfig[] predictionLayerConfigs, java.lang.String vertexTargetPropertyName, LabelMaps labelMaps, GraphWiseBaseModelConfig.Backend backend, GraphWiseModelConfig.GraphConvModelVariant variant, boolean enableAccelerator, GraphWiseValidationConfig validationConfig)