| 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.
|
| oracle.pgx.config.mllib.batchgenerator |
This package contains APIs to batch generators.
|
| Modifier and Type | Method and Description |
|---|---|
SupervisedGraphWiseModelBuilder |
SupervisedGraphWiseModelBuilder.setBatchGenerator(BatchGenerator batchGenerator)
Sets the batch generator.
|
| Modifier and Type | Field and Description |
|---|---|
static BatchGenerator |
SupervisedGraphWiseModelConfig.DEFAULT_BATCH_GENERATOR
|
| Modifier and Type | Method and Description |
|---|---|
BatchGenerator |
SupervisedGraphWiseModelConfig.getBatchGenerator() |
| Modifier and Type | Method and Description |
|---|---|
void |
SupervisedGraphWiseModelConfig.setBatchGenerator(BatchGenerator batchGenerator) |
| Constructor and Description |
|---|
SupervisedGraphWiseModelConfig(int batchSize,
int numEpochs,
double learningRate,
double weightDecay,
int embeddingDim,
java.lang.Integer seed,
GraphWiseConvLayerConfig[] convLayerConfigs,
boolean standardize,
boolean shuffle,
java.util.List<java.lang.String> vertexInputPropertyNames,
java.util.List<java.lang.String> edgeInputPropertyNames,
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,
boolean normalize,
java.lang.String vertexTargetPropertyName,
LabelMaps labelMaps,
GraphWiseModelConfig.Backend backend,
GraphWiseModelConfig.GraphConvModelVariant variant) |
| Modifier and Type | Class and Description |
|---|---|
class |
StandardBatchGenerator |
class |
StratifiedOversamplingBatchGenerator |