oracle.pgx.config.mllib

Class UnsupervisedGraphWiseModelConfig

java.lang.Object

oracle.pgx.config.mllib.GraphWiseBaseModelConfig

oracle.pgx.config.mllib.GraphWiseModelConfig

oracle.pgx.config.mllib.UnsupervisedGraphWiseModelConfig

public class UnsupervisedGraphWiseModelConfig
extends GraphWiseModelConfig

Configuration class for UnsupervisedGraphWiseModel. See UnsupervisedGraphWiseModel for a description of the hyperparameters.

Since:

21.2

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	UnsupervisedGraphWiseModelConfig.LossFunction

Nested classes/interfaces inherited from class oracle.pgx.config.mllib.GraphWiseModelConfig

GraphWiseModelConfig.GraphConvModelVariant

Nested classes/interfaces inherited from class oracle.pgx.config.mllib.GraphWiseBaseModelConfig

GraphWiseBaseModelConfig.Backend

Field Summary

Fields

Modifier and Type	Field and Description
static GraphWiseDgiLayerConfig	DEFAULT_DGI_LAYER_CONFIG one default initialized config (See GraphWisePredictionLayerConfig)
static UnsupervisedGraphWiseModelConfig.LossFunction	DEFAULT_LOSS_FUNCTION UnsupervisedGraphWiseModelConfig.LossFunction.SIGMOID_CROSS_ENTROPY

Fields inherited from class oracle.pgx.config.mllib.GraphWiseModelConfig

DEFAULT_MODE

Fields inherited from class oracle.pgx.config.mllib.GraphWiseBaseModelConfig

DEFAULT_BACKEND, DEFAULT_BATCH_SIZE, DEFAULT_CONV_LAYER_CONFIGS, DEFAULT_EMBEDDING_DIM, DEFAULT_LEARNING_RATE, DEFAULT_NUM_EPOCHS, DEFAULT_SEED, DEFAULT_SHUFFLE, DEFAULT_STANDARDIZE, DEFAULT_WEIGHT_DECAY, SUPPORTED_INPUT_TYPES

Constructor Summary

Constructors

Constructor and Description
UnsupervisedGraphWiseModelConfig()
UnsupervisedGraphWiseModelConfig(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>> targetVertexLabels, boolean fitted, double trainingLoss, int inputFeatureDim, int inputEdgeFeatureDim, UnsupervisedGraphWiseModelConfig.LossFunction lossFunction, GraphWiseDgiLayerConfig dgiLayerConfig, GraphWiseBaseModelConfig.Backend backend, GraphWiseModelConfig.GraphConvModelVariant variant)
UnsupervisedGraphWiseModelConfig(UnsupervisedGraphWiseModelConfig source)

Method Summary

Modifier and Type	Method and Description
GraphWiseDgiLayerConfig	getDgiLayerConfig()
UnsupervisedGraphWiseModelConfig.LossFunction	getLossFunction()
boolean	isRegression()
void	setDgiLayerConfig(GraphWiseDgiLayerConfig dgiLayerConfig)
void	setLossFunction(UnsupervisedGraphWiseModelConfig.LossFunction lossFunction)

Methods inherited from class oracle.pgx.config.mllib.GraphWiseModelConfig

getTargetVertexLabelSets, getVariant, setTargetVertexLabels, setTargetVertexLabelSets, setVariant

Methods inherited from class oracle.pgx.config.mllib.GraphWiseBaseModelConfig

getBackend, getBatchSize, getConvLayerConfigs, getEdgeInputFeatureDim, getEdgeInputPropertyNames, getEmbeddingDim, getInputFeatureDim, getLearningRate, getNumEpochs, getSeed, getTrainingLoss, getVertexInputPropertyNames, getWeightDecay, isFitted, isShuffle, isStandardize, setBatchSize, setConvLayerConfigs, setEdgeInputFeatureDim, setEdgeInputPropertyNames, setEmbeddingDim, setFitted, setInputFeatureDim, setLearningRate, setNumEpochs, setSeed, setShuffle, setStandardize, setTrainingLoss, setVertexInputPropertyNames, setWeightDecay

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

DEFAULT_DGI_LAYER_CONFIG

public static final GraphWiseDgiLayerConfig DEFAULT_DGI_LAYER_CONFIG

one default initialized config (See GraphWisePredictionLayerConfig)

DEFAULT_LOSS_FUNCTION

public static final UnsupervisedGraphWiseModelConfig.LossFunction DEFAULT_LOSS_FUNCTION

UnsupervisedGraphWiseModelConfig.LossFunction.SIGMOID_CROSS_ENTROPY

Constructor Detail

UnsupervisedGraphWiseModelConfig

public UnsupervisedGraphWiseModelConfig()

UnsupervisedGraphWiseModelConfig

public UnsupervisedGraphWiseModelConfig(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>> targetVertexLabels,
                                        boolean fitted,
                                        double trainingLoss,
                                        int inputFeatureDim,
                                        int inputEdgeFeatureDim,
                                        UnsupervisedGraphWiseModelConfig.LossFunction lossFunction,
                                        GraphWiseDgiLayerConfig dgiLayerConfig,
                                        GraphWiseBaseModelConfig.Backend backend,
                                        GraphWiseModelConfig.GraphConvModelVariant variant)

UnsupervisedGraphWiseModelConfig

public UnsupervisedGraphWiseModelConfig(UnsupervisedGraphWiseModelConfig source)

Method Detail

getDgiLayerConfig

public GraphWiseDgiLayerConfig getDgiLayerConfig()

getLossFunction

public UnsupervisedGraphWiseModelConfig.LossFunction getLossFunction()

isRegression

public boolean isRegression()

setDgiLayerConfig

public final void setDgiLayerConfig(GraphWiseDgiLayerConfig dgiLayerConfig)

setLossFunction

public final void setLossFunction(UnsupervisedGraphWiseModelConfig.LossFunction lossFunction)