Package | Description |
---|---|
oracle.pgx.api |
This package contains the main Java APIs.
|
oracle.pgx.api.mllib |
This package contains graph machine learning tools for use with PGX.
|
Modifier and Type | Method and Description |
---|---|
SupervisedGraphWiseModelBuilder |
Analyst.supervisedGraphWiseModelBuilder()
Return a SupervisedGraphWise model builder that can be used to set the configuration of the model and then create it.
|
Modifier and Type | Method and Description |
---|---|
SupervisedGraphWiseModelBuilder |
SupervisedGraphWiseModelBuilder.setBatchGenerator(BatchGenerator batchGenerator)
Sets the batch generator.
|
SupervisedGraphWiseModelBuilder |
SupervisedGraphWiseModelBuilder.setClassWeights(java.util.Map<?,java.lang.Float> classWeights)
Set the class weights to be used in the loss function.
|
SupervisedGraphWiseModelBuilder |
SupervisedGraphWiseModelBuilder.setLossFunction(LossFunction lossFunction)
Sets the loss function for the algorithm.
|
SupervisedGraphWiseModelBuilder |
SupervisedGraphWiseModelBuilder.setLossFunction(oracle.pgx.config.mllib.SupervisedGraphWiseModelConfig.LossFunction lossFunction)
Deprecated.
|
SupervisedGraphWiseModelBuilder |
SupervisedGraphWiseModelBuilder.setNormalize(boolean normalize)
Whether to l2 normalize the output of the convolutional layers.
|
SupervisedGraphWiseModelBuilder |
SupervisedGraphWiseModelBuilder.setPredictionLayerConfigs(GraphWisePredictionLayerConfig... layerConfigs)
Set the prediction layer configurations (See
GraphWisePredictionLayerConfig . |
SupervisedGraphWiseModelBuilder |
SupervisedGraphWiseModelBuilder.setVertexTargetPropertyName(java.lang.String propertyName)
Set the target (labels) for the algorithm in the form of a property name of the graph.
|