| 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.
|
| Class and Description |
|---|
| ActivationFunction
Activation functions
|
| AggregationOperation
Aggregation operations
Used to specify head aggregation method in GraphWiseAttentionLayer
|
| DbModelRepositoryConfiguration |
| EdgeWiseModelConfig
Abstract configuration class for EdgeWise models
|
| 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.
|
| ModelKind
Enumeration for the different models we have implemented.
|
| SupervisedGraphWiseModelConfig.LossFunction
Deprecated.
|
| UnsupervisedEdgeWiseModelConfig.LossFunction |
| UnsupervisedGraphWiseModelConfig.LossFunction |
| WeightInitScheme
Initialization scheme used for weights
|
| Class and 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 |
| 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.
|
| 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. |
| SupervisedEdgeWiseModelConfig.LossFunction
Deprecated.
|
| SupervisedGraphWiseModelConfig
Configuration class for
SupervisedGraphWiseModel. |
| SupervisedGraphWiseModelConfig.LossFunction
Deprecated.
|
| UnsupervisedEdgeWiseModelConfig
Configuration class for
UnsupervisedEdgeWiseModel. |
| UnsupervisedEdgeWiseModelConfig.LossFunction |
| UnsupervisedGraphWiseModelConfig
Configuration class for
UnsupervisedGraphWiseModel. |
| UnsupervisedGraphWiseModelConfig.LossFunction |
| WeightInitScheme
Initialization scheme used for weights
|