oracle.pgx.config.mllib

Class GraphWiseBaseModelConfig

java.lang.Object

oracle.pgx.config.mllib.GraphWiseBaseModelConfig

Direct Known Subclasses:

EdgeWiseModelConfig, GraphWiseModelConfig

public abstract class GraphWiseBaseModelConfig
extends java.lang.Object

Abstract base configuration class for both GraphWise and EdgeWise models

Since:

23.1

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	GraphWiseBaseModelConfig.Backend

Field Summary

Fields

Modifier and Type	Field and Description
static GraphWiseBaseModelConfig.Backend	DEFAULT_BACKEND LibTorch
static int	DEFAULT_BATCH_SIZE 128
static GraphWiseBaseConvLayerConfig[]	DEFAULT_CONV_LAYER_CONFIGS two default initialized layer configs (See GraphWiseBaseConvLayerConfig)
static int	DEFAULT_EMBEDDING_DIM 128
static double	DEFAULT_LEARNING_RATE 0.01
static boolean	DEFAULT_NORMALIZE true
static int	DEFAULT_NUM_EPOCHS 3
static java.lang.Integer	DEFAULT_SEED null
static boolean	DEFAULT_SHUFFLE true
static boolean	DEFAULT_STANDARDIZE false
static double	DEFAULT_WEIGHT_DECAY 0.0
static java.util.EnumSet<PropertyType>	SUPPORTED_INPUT_TYPES BOOLEAN, FLOAT, DOUBLE

Constructor Summary

Constructors

Constructor and Description

GraphWiseBaseModelConfig(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, boolean fitted, double trainingLoss, int vertexInputFeatureDim, int edgeInputFeatureDim, GraphWiseBaseModelConfig.Backend backend)

Method Summary

Modifier and Type	Method and Description
void	clearSensitiveData()
GraphWiseBaseModelConfig.Backend	getBackend()
int	getBatchSize()
oracle.pgx.config.internal.categorymapping.CategoryMappingConfig	getCategoryMappingConfig()
GraphWiseBaseConvLayerConfig[]	getConvLayerConfigs()
int	getEdgeInputFeatureDim()
java.util.Map<java.lang.String,InputPropertyConfig>	getEdgeInputPropertyConfigs()
java.util.List<java.lang.String>	getEdgeInputPropertyNames()
int	getEmbeddingDim()
int	getInputFeatureDim()
double	getLearningRate()
int	getNumEpochs()
java.lang.Integer	getSeed()
double	getTrainingLoss()
java.util.Map<java.lang.String,InputPropertyConfig>	getVertexInputPropertyConfigs()
java.util.List<java.lang.String>	getVertexInputPropertyNames()
double	getWeightDecay()
boolean	isFitted()
boolean	isNormalize()
boolean	isShuffle()
boolean	isStandardize()
void	setBatchSize(int batchSize)
void	setCategoryMappingConfig(oracle.pgx.config.internal.categorymapping.CategoryMappingConfig categoryMappingConfig)
void	setConvLayerConfigs(GraphWiseBaseConvLayerConfig... convLayerConfigs)
void	setEdgeInputFeatureDim(int edgeInputFeatureDim)
void	setEdgeInputPropertyConfigs(InputPropertyConfig... edgeInputPropertyConfigs)
void	setEdgeInputPropertyNames(java.util.List<java.lang.String> edgeInputPropertyNames)
void	setEmbeddingDim(int embeddingDim)
void	setFitted(boolean fitted)
void	setInputFeatureDim(int vertexInputFeatureDim)
void	setLearningRate(double learningRate)
void	setNormalize(boolean normalize)
void	setNumEpochs(int numEpochs)
void	setSeed(int seed)
void	setShuffle(boolean shuffle)
void	setStandardize(boolean standardize)
void	setTrainingLoss(double trainingLoss)
void	setVertexInputPropertyConfigs(InputPropertyConfig... vertexInputPropertyConfigs)
void	setVertexInputPropertyNames(java.util.List<java.lang.String> vertexInputPropertyNames)
void	setWeightDecay(double weightDecay)

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_BACKEND

public static final GraphWiseBaseModelConfig.Backend DEFAULT_BACKEND

LibTorch

DEFAULT_BATCH_SIZE

public static final int DEFAULT_BATCH_SIZE

128

See Also:

Constant Field Values

DEFAULT_CONV_LAYER_CONFIGS

public static final GraphWiseBaseConvLayerConfig[] DEFAULT_CONV_LAYER_CONFIGS

two default initialized layer configs (See GraphWiseBaseConvLayerConfig)

DEFAULT_EMBEDDING_DIM

public static final int DEFAULT_EMBEDDING_DIM

128

See Also:

Constant Field Values

DEFAULT_LEARNING_RATE

public static final double DEFAULT_LEARNING_RATE

0.01

See Also:

Constant Field Values

DEFAULT_NORMALIZE

public static final boolean DEFAULT_NORMALIZE

true

See Also:

Constant Field Values

DEFAULT_NUM_EPOCHS

public static final int DEFAULT_NUM_EPOCHS

3

See Also:

Constant Field Values

DEFAULT_SEED

public static final java.lang.Integer DEFAULT_SEED

null

DEFAULT_SHUFFLE

public static final boolean DEFAULT_SHUFFLE

true

See Also:

Constant Field Values

DEFAULT_STANDARDIZE

public static final boolean DEFAULT_STANDARDIZE

false

See Also:

Constant Field Values

DEFAULT_WEIGHT_DECAY

public static final double DEFAULT_WEIGHT_DECAY

0.0

See Also:

Constant Field Values

SUPPORTED_INPUT_TYPES

public static final java.util.EnumSet<PropertyType> SUPPORTED_INPUT_TYPES

BOOLEAN, FLOAT, DOUBLE

Constructor Detail

GraphWiseBaseModelConfig

public GraphWiseBaseModelConfig(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,
                                boolean fitted,
                                double trainingLoss,
                                int vertexInputFeatureDim,
                                int edgeInputFeatureDim,
                                GraphWiseBaseModelConfig.Backend backend)

Method Detail

clearSensitiveData

public final void clearSensitiveData()

getBackend

public GraphWiseBaseModelConfig.Backend getBackend()

getBatchSize

public int getBatchSize()

getCategoryMappingConfig

public oracle.pgx.config.internal.categorymapping.CategoryMappingConfig getCategoryMappingConfig()

getConvLayerConfigs

public GraphWiseBaseConvLayerConfig[] getConvLayerConfigs()

getEdgeInputFeatureDim

public int getEdgeInputFeatureDim()

getEdgeInputPropertyConfigs

public java.util.Map<java.lang.String,InputPropertyConfig> getEdgeInputPropertyConfigs()

getEdgeInputPropertyNames

public java.util.List<java.lang.String> getEdgeInputPropertyNames()

getEmbeddingDim

public int getEmbeddingDim()

getInputFeatureDim

public int getInputFeatureDim()

getLearningRate

public double getLearningRate()

getNumEpochs

public int getNumEpochs()

getSeed

public java.lang.Integer getSeed()

getTrainingLoss

public double getTrainingLoss()

getVertexInputPropertyConfigs

public java.util.Map<java.lang.String,InputPropertyConfig> getVertexInputPropertyConfigs()

getVertexInputPropertyNames

public java.util.List<java.lang.String> getVertexInputPropertyNames()

getWeightDecay

public double getWeightDecay()

isFitted

public boolean isFitted()

isNormalize

public boolean isNormalize()

isShuffle

public boolean isShuffle()

isStandardize

public boolean isStandardize()

setBatchSize

public final void setBatchSize(int batchSize)

setCategoryMappingConfig

public final void setCategoryMappingConfig(oracle.pgx.config.internal.categorymapping.CategoryMappingConfig categoryMappingConfig)

setConvLayerConfigs

public final void setConvLayerConfigs(GraphWiseBaseConvLayerConfig... convLayerConfigs)

setEdgeInputFeatureDim

public final void setEdgeInputFeatureDim(int edgeInputFeatureDim)

setEdgeInputPropertyConfigs

public final void setEdgeInputPropertyConfigs(InputPropertyConfig... edgeInputPropertyConfigs)

setEdgeInputPropertyNames

public final void setEdgeInputPropertyNames(java.util.List<java.lang.String> edgeInputPropertyNames)

setEmbeddingDim

public final void setEmbeddingDim(int embeddingDim)

setFitted

public final void setFitted(boolean fitted)

setInputFeatureDim

public final void setInputFeatureDim(int vertexInputFeatureDim)

setLearningRate

public final void setLearningRate(double learningRate)

setNormalize

public final void setNormalize(boolean normalize)

setNumEpochs

public final void setNumEpochs(int numEpochs)

setSeed

public final void setSeed(int seed)

setShuffle

public final void setShuffle(boolean shuffle)

setStandardize

public final void setStandardize(boolean standardize)

setTrainingLoss

public final void setTrainingLoss(double trainingLoss)

setVertexInputPropertyConfigs

public final void setVertexInputPropertyConfigs(InputPropertyConfig... vertexInputPropertyConfigs)

setVertexInputPropertyNames

public final void setVertexInputPropertyNames(java.util.List<java.lang.String> vertexInputPropertyNames)

setWeightDecay

public final void setWeightDecay(double weightDecay)