Package oracle.pgx.config.mllib

Class GraphWiseDominantLayerConfig

java.lang.Object

oracle.pgx.config.mllib.GraphWiseDominantLayerConfig

All Implemented Interfaces:

GraphWiseEmbeddingConfig

public class GraphWiseDominantLayerConfig
extends java.lang.Object
implements GraphWiseEmbeddingConfig

Configuration class for Dominant layers. See GraphWiseDominantLayerConfigBuilder for a description of the hyperparameters.

Since:

23.2

Nested Class Summary

Nested classes/interfaces inherited from interface oracle.pgx.config.mllib.GraphWiseEmbeddingConfig

GraphWiseEmbeddingConfig.EmbeddingType

Field Summary

Fields

Modifier and Type	Field	Description
static double	DEFAULT_ALPHA	Default alpha parameter as 0.5: equal weight for feature and structure reconstruction losses
static GraphWisePredictionLayerConfig[]	DEFAULT_PREDICTION_LAYER_CONFIGS	by default no prediction layer config

Constructor Summary

Constructors

Constructor	Description
GraphWiseDominantLayerConfig()

Method Summary

Modifier and Type	Method	Description
double	getAlpha()
GraphWisePredictionLayerConfig[]	getdecoderLayerConfigs()	Gets the configuration objects for the decoder layers
GraphWiseEmbeddingConfig.EmbeddingType	getEmbeddingType()
void	setAlpha(double alpha)	Sets the weight for feature reconstruction loss.
void	setDecoderLayerConfigs(GraphWisePredictionLayerConfig... decoderLayerConfigs)	Sets the configuration objects for the decoder layers

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_ALPHA

public static final double DEFAULT_ALPHA

Default alpha parameter as 0.5: equal weight for feature and structure reconstruction losses

See Also:

Constant Field Values

DEFAULT_PREDICTION_LAYER_CONFIGS

public static final GraphWisePredictionLayerConfig[] DEFAULT_PREDICTION_LAYER_CONFIGS

by default no prediction layer config

Constructor Detail

GraphWiseDominantLayerConfig

public GraphWiseDominantLayerConfig()

Method Detail

getEmbeddingType

public GraphWiseEmbeddingConfig.EmbeddingType getEmbeddingType()

Specified by:

getEmbeddingType in interface GraphWiseEmbeddingConfig

getAlpha

public double getAlpha()

Returns:

configured weight for feature reconstruction loss.

setAlpha

public void setAlpha(double alpha)

Sets the weight for feature reconstruction loss.

Parameters:

alpha - the feature reconstruction weight. Must be between 0 and 1

getdecoderLayerConfigs

public GraphWisePredictionLayerConfig[] getdecoderLayerConfigs()

Gets the configuration objects for the decoder layers

Returns:

configurations

Since:

23.2

setDecoderLayerConfigs

public final void setDecoderLayerConfigs(GraphWisePredictionLayerConfig... decoderLayerConfigs)

Sets the configuration objects for the decoder layers

Parameters:

decoderLayerConfigs - the configuration objects

Since:

23.2