Uses of Package
oracle.pgx.config.mllib

Packages that use oracle.pgx.config.mllib

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.

Classes in oracle.pgx.config.mllib used by oracle.pgx.api.mllib

Class	Description
ActivationFunction	Activation functions
AggregationOperation	Aggregation operations Used to specify head aggregation method in GraphWiseAttentionLayer
DbModelRepositoryConfiguration
EdgeWiseModelConfig	Abstract configuration class for EdgeWise models
EvaluationFrequencyScale	EvaluationFrequencyScale Used to specify evaluation frequency during validation
GraphWiseAttentionLayerConfig	Configuration class for GraphWise attention layers.
GraphWiseBaseConvLayerConfig	Configuration class for GraphWise convolutional layers.
GraphWiseBaseModelConfig	Abstract base configuration class for both GraphWise and EdgeWise models
GraphWiseConvLayerConfig	Configuration class for GraphWise convolutional layers.
GraphWiseDgiLayerConfig	Configuration class for DGI layers.
GraphWiseDgiLayerConfig.Discriminator
GraphWiseDgiLayerConfig.ReadoutFunction
GraphWiseDominantLayerConfig	Configuration class for Dominant layers.
GraphWiseEmbeddingConfig	Configuration for the embedding configuration used by an Unsupervised graphwise model to fit.
GraphWiseModelConfig	Abstract configuration class for GraphWise models
GraphWisePredictionLayerConfig	Configuration class for GraphWise prediction layers.
GraphWiseValidationConfig	Configuration class for validation during training of GraphWise models.
ModelKind	Enumeration for the different models we have implemented.
UnsupervisedEdgeWiseModelConfig.LossFunction
UnsupervisedGraphWiseModelConfig.LossFunction
WeightInitScheme	Initialization scheme used for weights

Classes in oracle.pgx.config.mllib used by oracle.pgx.config.mllib

Class	Description
ActivationFunction	Activation functions
AggregationOperation	Aggregation operations Used to specify head aggregation method in GraphWiseAttentionLayer
BaseModelConfig	Abstract base configuration class for all models
EdgeWiseModelConfig	Abstract configuration class for EdgeWise models
EdgeWiseModelConfig.EdgeWiseConvModelVariant
EvaluationFrequencyScale	EvaluationFrequencyScale Used to specify evaluation frequency during validation
GraphWiseAttentionLayerConfig	Configuration class for GraphWise attention layers.
GraphWiseBaseConvLayerConfig	Configuration class for GraphWise convolutional layers.
GraphWiseBaseConvLayerConfig.ConvLayerType
GraphWiseBaseModelConfig	Abstract base configuration class for both GraphWise and EdgeWise models
GraphWiseBaseModelConfig.Backend
GraphWiseConvLayerConfig	Configuration class for GraphWise convolutional layers.
GraphWiseDgiLayerConfig	Configuration class for DGI layers.
GraphWiseDgiLayerConfig.Discriminator
GraphWiseDgiLayerConfig.ReadoutFunction
GraphWiseEmbeddingConfig	Configuration for the embedding configuration used by an Unsupervised graphwise model to fit.
GraphWiseEmbeddingConfig.EmbeddingType
GraphWiseModelConfig	Abstract configuration class for GraphWise models
GraphWiseModelConfig.GraphConvModelVariant
GraphWisePredictionLayerConfig	Configuration class for GraphWise prediction layers.
GraphWiseValidationConfig	Configuration class for validation during training of GraphWise models.
LabelMaps	This class is used so that we can store type information of the maps during serialization
ModelDatasource	Enumeration for in what kind of datastore the models can be stored
ModelKind	Enumeration for the different models we have implemented.
ModelLoadingConfiguration
ModelRepositoryConfiguration
ModelStoringConfiguration
SupervisedEdgeWiseModelConfig	Configuration class for SupervisedEdgeWiseModel.
SupervisedGraphWiseModelConfig	Configuration class for SupervisedGraphWiseModel.
UnsupervisedEdgeWiseModelConfig	Configuration class for UnsupervisedEdgeWiseModel.
UnsupervisedEdgeWiseModelConfig.LossFunction
UnsupervisedGraphWiseModelConfig	Configuration class for UnsupervisedGraphWiseModel.
UnsupervisedGraphWiseModelConfig.LossFunction
WeightInitScheme	Initialization scheme used for weights