Uses of Class
oracle.pgx.config.mllib.GraphWiseModelConfig.GraphConvModelVariant
-
Packages that use GraphWiseModelConfig.GraphConvModelVariant Package Description oracle.pgx.config.mllib This package contains APIs to all graph machine learning features of PGX. -
-
Uses of GraphWiseModelConfig.GraphConvModelVariant in oracle.pgx.config.mllib
Fields in oracle.pgx.config.mllib declared as GraphWiseModelConfig.GraphConvModelVariant Modifier and Type Field Description static GraphWiseModelConfig.GraphConvModelVariantGraphWiseModelConfig. DEFAULT_MODEnullMethods in oracle.pgx.config.mllib that return GraphWiseModelConfig.GraphConvModelVariant Modifier and Type Method Description GraphWiseModelConfig.GraphConvModelVariantGraphWiseModelConfig. getVariant()static GraphWiseModelConfig.GraphConvModelVariantGraphWiseModelConfig.GraphConvModelVariant. valueOf(java.lang.String name)Returns the enum constant of this type with the specified name.static GraphWiseModelConfig.GraphConvModelVariant[]GraphWiseModelConfig.GraphConvModelVariant. 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 GraphWiseModelConfig.GraphConvModelVariant Modifier and Type Method Description voidGraphWiseModelConfig. setVariant(GraphWiseModelConfig.GraphConvModelVariant variant)Constructors in oracle.pgx.config.mllib with parameters of type GraphWiseModelConfig.GraphConvModelVariant Constructor Description GraphWiseModelConfig(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>> targetVertexLabelSets, GraphWiseBaseModelConfig.Backend backend, GraphWiseModelConfig.GraphConvModelVariant 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)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, boolean enableAccelerator, GraphWiseValidationConfig validationConfig)
-