Uses of Class
oracle.pgx.config.mllib.loss.LossFunction

Packages that use 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.
oracle.pgx.config.mllib.loss	This package contains classes for loss functions.

Uses of LossFunction in oracle.pgx.api.mllib

Methods in oracle.pgx.api.mllib that return LossFunction

Modifier and Type	Method	Description
LossFunction	SupervisedEdgeWiseModel.getLossFunctionClass()	Gets the loss function
LossFunction	SupervisedGraphWiseModel.getLossFunctionClass()	Gets the loss function

Methods in oracle.pgx.api.mllib with parameters of type LossFunction

Modifier and Type	Method	Description
SupervisedEdgeWiseModelBuilder	SupervisedEdgeWiseModelBuilder.setLossFunction(LossFunction lossFunction)	Sets the loss function for the algorithm.
SupervisedGraphWiseModelBuilder	SupervisedGraphWiseModelBuilder.setLossFunction(LossFunction lossFunction)	Sets the loss function for the algorithm.

Uses of LossFunction in oracle.pgx.config.mllib

Fields in oracle.pgx.config.mllib declared as LossFunction

Modifier and Type	Field	Description
static LossFunction	SupervisedEdgeWiseModelConfig.DEFAULT_LOSS_FUNCTION_CLASS	SoftmaxCrossEntropyLoss
static LossFunction	SupervisedGraphWiseModelConfig.DEFAULT_LOSS_FUNCTION_CLASS	SoftmaxCrossEntropyLoss

Methods in oracle.pgx.config.mllib that return LossFunction

Modifier and Type	Method	Description
LossFunction	SupervisedEdgeWiseModelConfig.getLossFunctionClass()
LossFunction	SupervisedGraphWiseModelConfig.getLossFunctionClass()

Methods in oracle.pgx.config.mllib with parameters of type LossFunction

Modifier and Type	Method	Description
void	SupervisedEdgeWiseModelConfig.setLossFunctionClass(LossFunction lossFunction)
void	SupervisedGraphWiseModelConfig.setLossFunctionClass(LossFunction lossFunction)

Constructors in oracle.pgx.config.mllib with parameters of type LossFunction

Constructor	Description
SupervisedEdgeWiseModelConfig(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, oracle.pgx.config.mllib.SupervisedEdgeWiseModelConfig.LossFunction lossFunction, LossFunction lossFunctionClass, BatchGenerator batchGenerator, GraphWisePredictionLayerConfig[] predictionLayerConfigs, boolean normalize, java.lang.String edgeTargetPropertyName, LabelMaps labelMaps, GraphWiseBaseModelConfig.Backend backend, EdgeCombinationMethod edgeCombinationMethod, EdgeWiseModelConfig.EdgeWiseConvModelVariant variant, boolean enableAccelerator, GraphWiseValidationConfig validationConfig)
SupervisedGraphWiseModelConfig(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>> targetVertexLabelSets, boolean fitted, double trainingLoss, int inputFeatureDim, int edgeInputFeatureDim, oracle.pgx.config.mllib.SupervisedGraphWiseModelConfig.LossFunction lossFunction, LossFunction lossFunctionClass, BatchGenerator batchGenerator, GraphWisePredictionLayerConfig[] predictionLayerConfigs, java.lang.String vertexTargetPropertyName, LabelMaps labelMaps, GraphWiseBaseModelConfig.Backend backend, GraphWiseModelConfig.GraphConvModelVariant variant, boolean enableAccelerator, GraphWiseValidationConfig validationConfig)

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

Subclasses of LossFunction in oracle.pgx.config.mllib.loss

Modifier and Type	Class	Description
class	DevNetLoss
class	MSELoss
class	SigmoidCrossEntropyLoss
class	SoftmaxCrossEntropyLoss