Package 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	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	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_ENABLE_ACCELERATOR, DEFAULT_LEARNING_RATE, DEFAULT_NORMALIZE, DEFAULT_NUM_EPOCHS, DEFAULT_SEED, DEFAULT_SHUFFLE, DEFAULT_STANDARDIZE, DEFAULT_WEIGHT_DECAY, SUPPORTED_INPUT_TYPES

Constructor Summary

Constructors

Constructor	Description
UnsupervisedGraphWiseModelConfig()
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)
UnsupervisedGraphWiseModelConfig(UnsupervisedGraphWiseModelConfig source)
UnsupervisedGraphWiseModelConfig(UnsupervisedGraphWiseModelConfig source, oracle.pgx.config.internal.categorymapping.CategoryMappingConfig categoryMappingConfig)

Method Summary

Modifier and Type	Method	Description
GraphWiseEmbeddingConfig	getEmbeddingConfig()
UnsupervisedGraphWiseModelConfig.LossFunction	getLossFunction()
boolean	isRegression()
void	setEmbeddingConfig(GraphWiseEmbeddingConfig embeddingConfig)
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

clearSensitiveData, getBackend, getBatchSize, getCategoryMappingConfig, getConvLayerConfigs, getEdgeInputFeatureDim, getEdgeInputPropertyConfigs, getEdgeInputPropertyNames, getEmbeddingDim, getInputFeatureDim, getLearningRate, getNumEpochs, getSeed, getTrainingLoss, getValidationConfig, getVertexInputPropertyConfigs, getVertexInputPropertyNames, getWeightDecay, isEnableAccelerator, isFitted, isNormalize, isShuffle, isStandardize, setBatchSize, setCategoryMappingConfig, setConvLayerConfigs, setEdgeInputFeatureDim, setEdgeInputPropertyConfigs, setEdgeInputPropertyNames, setEmbeddingDim, setEnableAccelerator, setFitted, setInputFeatureDim, setLearningRate, setNormalize, setNumEpochs, setSeed, setShuffle, setStandardize, setTrainingLoss, setValidationConfig, setVertexInputPropertyConfigs, setVertexInputPropertyNames, setWeightDecay

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_LOSS_FUNCTION

public static final UnsupervisedGraphWiseModelConfig.LossFunction DEFAULT_LOSS_FUNCTION

UnsupervisedGraphWiseModelConfig.LossFunction.SIGMOID_CROSS_ENTROPY

DEFAULT_DGI_LAYER_CONFIG

public static final GraphWiseDgiLayerConfig DEFAULT_DGI_LAYER_CONFIG

one default initialized config (See GraphWisePredictionLayerConfig)

Constructor Detail

UnsupervisedGraphWiseModelConfig

public UnsupervisedGraphWiseModelConfig()

UnsupervisedGraphWiseModelConfig

public 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)

UnsupervisedGraphWiseModelConfig

public UnsupervisedGraphWiseModelConfig(UnsupervisedGraphWiseModelConfig source)

UnsupervisedGraphWiseModelConfig

public UnsupervisedGraphWiseModelConfig(UnsupervisedGraphWiseModelConfig source,
                                        oracle.pgx.config.internal.categorymapping.CategoryMappingConfig categoryMappingConfig)

Method Detail

getEmbeddingConfig

public GraphWiseEmbeddingConfig getEmbeddingConfig()

setEmbeddingConfig

public final void setEmbeddingConfig(GraphWiseEmbeddingConfig embeddingConfig)

getLossFunction

public UnsupervisedGraphWiseModelConfig.LossFunction getLossFunction()

setLossFunction

public final void setLossFunction(UnsupervisedGraphWiseModelConfig.LossFunction lossFunction)

isRegression

public boolean isRegression()