Uses of Class oracle.pgx.config.mllib.UnsupervisedGraphWiseModelConfig.LossFunction (Oracle Graph Java API Reference for Property Graph Release 24.3 (G10236-01))

Packages that use UnsupervisedGraphWiseModelConfig.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 UnsupervisedGraphWiseModelConfig.LossFunction in oracle.pgx.api.mllib

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

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

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

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

Methods in oracle.pgx.config.mllib that return UnsupervisedGraphWiseModelConfig.LossFunction
Modifier and Type	Method	Description
`UnsupervisedGraphWiseModelConfig.LossFunction`	UnsupervisedGraphWiseModelConfig.`getLossFunction()`
`static UnsupervisedGraphWiseModelConfig.LossFunction`	UnsupervisedGraphWiseModelConfig.LossFunction.`valueOf(java.lang.String name)`	Returns the enum constant of this type with the specified name.
`static UnsupervisedGraphWiseModelConfig.LossFunction[]`	UnsupervisedGraphWiseModelConfig.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 UnsupervisedGraphWiseModelConfig.LossFunction
Modifier and Type	Method	Description
`void`	UnsupervisedGraphWiseModelConfig.`setLossFunction(UnsupervisedGraphWiseModelConfig.LossFunction lossFunction)`

Constructors in oracle.pgx.config.mllib with parameters of type UnsupervisedGraphWiseModelConfig.LossFunction
Constructor	Description
UnsupervisedGraphWiseModelConfig(int batchSize, int numEpochs, double learningRate, double weightDecay, int embeddingDim, java.lang.Integer seed, GraphWiseBaseConvLayerConfig[] convLayerConfigs, boolean standardize, boolean normalize, 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>> targetVertexLabels, boolean fitted, double trainingLoss, int inputFeatureDim, int inputEdgeFeatureDim, UnsupervisedGraphWiseModelConfig.LossFunction lossFunction, GraphWiseDgiLayerConfig dgiLayerConfig, GraphWiseEmbeddingConfig embeddingConfig, GraphWiseBaseModelConfig.Backend backend, GraphWiseModelConfig.GraphConvModelVariant variant, boolean enableAccelerator, GraphWiseValidationConfig validationConfig)