Uses of Class oracle.pgx.config.mllib.UnsupervisedEdgeWiseModelConfig.LossFunction (Oracle Graph Java API Reference for Property Graph Release 24.1 (F91194-01))

Packages that use UnsupervisedEdgeWiseModelConfig.LossFunction
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.

Uses of UnsupervisedEdgeWiseModelConfig.LossFunction in oracle.pgx.api.mllib

Methods in oracle.pgx.api.mllib that return UnsupervisedEdgeWiseModelConfig.LossFunction
Modifier and Type	Method	Description
`UnsupervisedEdgeWiseModelConfig.LossFunction`	UnsupervisedEdgeWiseModel.`getLossFunction()`	Gets the loss function

Methods in oracle.pgx.api.mllib with parameters of type UnsupervisedEdgeWiseModelConfig.LossFunction
Modifier and Type	Method	Description
`UnsupervisedEdgeWiseModelBuilder`	UnsupervisedEdgeWiseModelBuilder.`setLossFunction(UnsupervisedEdgeWiseModelConfig.LossFunction lossFunction)`	Sets the loss function for the algorithm.

Uses of UnsupervisedEdgeWiseModelConfig.LossFunction in oracle.pgx.config.mllib

Fields in oracle.pgx.config.mllib declared as UnsupervisedEdgeWiseModelConfig.LossFunction
Modifier and Type	Field	Description
`static UnsupervisedEdgeWiseModelConfig.LossFunction`	UnsupervisedEdgeWiseModelConfig.`DEFAULT_LOSS_FUNCTION`	`SIGMOID_CROSS_ENTROPY`

Methods in oracle.pgx.config.mllib that return UnsupervisedEdgeWiseModelConfig.LossFunction
Modifier and Type	Method	Description
`UnsupervisedEdgeWiseModelConfig.LossFunction`	UnsupervisedEdgeWiseModelConfig.`getLossFunction()`
`static UnsupervisedEdgeWiseModelConfig.LossFunction`	UnsupervisedEdgeWiseModelConfig.LossFunction.`valueOf(java.lang.String name)`	Returns the enum constant of this type with the specified name.
`static UnsupervisedEdgeWiseModelConfig.LossFunction[]`	UnsupervisedEdgeWiseModelConfig.LossFunction.`values()`	Returns an array containing the constants of this enum type, in the order they are declared.

Methods in oracle.pgx.config.mllib with parameters of type UnsupervisedEdgeWiseModelConfig.LossFunction
Modifier and Type	Method	Description
`void`	UnsupervisedEdgeWiseModelConfig.`setLossFunction(UnsupervisedEdgeWiseModelConfig.LossFunction lossFunction)`

Constructors in oracle.pgx.config.mllib with parameters of type UnsupervisedEdgeWiseModelConfig.LossFunction
Constructor	Description
UnsupervisedEdgeWiseModelConfig(int batchSize, int numEpochs, double learningRate, double weightDecay, int embeddingDim, java.lang.Integer edgeEmbeddingDim, java.lang.Integer seed, GraphWiseBaseConvLayerConfig[] convLayerConfigs, boolean standardize, boolean shuffle, java.util.List<java.lang.String> vertexInputPropertyNames, java.util.List<java.lang.String> edgeInputPropertyNames, java.util.Map<java.lang.String,InputPropertyConfig> vertexInputPropertyConfigs, java.util.Map<java.lang.String,InputPropertyConfig> edgeInputPropertyConfigs, oracle.pgx.config.internal.categorymapping.CategoryMappingConfig categoryMappingConfig, java.util.List<java.util.Set<java.lang.String>> targetEdgeLabelSets, boolean fitted, double trainingLoss, int inputFeatureDim, int edgeInputFeatureDim, UnsupervisedEdgeWiseModelConfig.LossFunction lossFunction, boolean normalize, GraphWiseBaseModelConfig.Backend backend, EdgeCombinationMethod edgeCombinationMethod, EdgeWiseModelConfig.EdgeWiseConvModelVariant variant, GraphWiseDgiLayerConfig dgiLayerConfig, boolean enableAccelerator)