| Package | Description |
|---|---|
| oracle.pgx.api.mllib |
This package contains graph machine learning tools for use with PGX.
|
| oracle.pgx.config.mllib | |
| oracle.pgx.config.mllib.loss |
| Modifier and Type | Method and Description |
|---|---|
LossFunction |
SupervisedGraphWiseModel.getLossFunctionClass()
Gets the loss function
|
| Modifier and Type | Method and Description |
|---|---|
SupervisedGraphWiseModelBuilder |
SupervisedGraphWiseModelBuilder.setLossFunction(LossFunction lossFunction)
Sets the loss function for the algorithm.
|
| Modifier and Type | Field and Description |
|---|---|
static LossFunction |
SupervisedGraphWiseModelConfig.DEFAULT_LOSS_FUNCTION_CLASS
|
| Modifier and Type | Method and Description |
|---|---|
LossFunction |
SupervisedGraphWiseModelConfig.getLossFunctionClass() |
| Modifier and Type | Method and Description |
|---|---|
void |
SupervisedGraphWiseModelConfig.setLossFunctionClass(LossFunction lossFunction) |
| Constructor and Description |
|---|
SupervisedGraphWiseModelConfig(int batchSize, int numEpochs, double learningRate, 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, 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) |
| Modifier and Type | Class and Description |
|---|---|
class |
DevNetLoss |
class |
SigmoidCrossEntropyLoss |
class |
SoftmaxCrossEntropyLoss |