Interface Engine.MediaRecommendationEngineConfigOrBuilder (0.28.0) 

public static interface Engine.MediaRecommendationEngineConfigOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getOptimizationObjective()

public abstract String getOptimizationObjective()

The optimization objective e.g. cvr.

This field together with optimization_objective describe engine metadata to use to control engine training and serving.

Currently supported values: ctr, cvr.

If not specified, we choose default based on engine type. Default depends on type of recommendation:

recommended-for-you => ctr

others-you-may-like => ctr

string optimization_objective = 2;

Returns
TypeDescription
String

The optimizationObjective.

getOptimizationObjectiveBytes()

public abstract ByteString getOptimizationObjectiveBytes()

The optimization objective e.g. cvr.

This field together with optimization_objective describe engine metadata to use to control engine training and serving.

Currently supported values: ctr, cvr.

If not specified, we choose default based on engine type. Default depends on type of recommendation:

recommended-for-you => ctr

others-you-may-like => ctr

string optimization_objective = 2;

Returns
TypeDescription
ByteString

The bytes for optimizationObjective.

getOptimizationObjectiveConfig()

public abstract Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig getOptimizationObjectiveConfig()

Name and value of the custom threshold for cvr optimization_objective. For target_field watch-time, target_field_value must be an integer value indicating the media progress time in seconds between (0, 86400] (excludes 0, includes 86400) (e.g., 90). For target_field watch-percentage, the target_field_value must be a valid float value between (0, 1.0] (excludes 0, includes 1.0) (e.g., 0.5).

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig optimization_objective_config = 3;

Returns
TypeDescription
Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig

The optimizationObjectiveConfig.

getOptimizationObjectiveConfigOrBuilder()

public abstract Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfigOrBuilder getOptimizationObjectiveConfigOrBuilder()

Name and value of the custom threshold for cvr optimization_objective. For target_field watch-time, target_field_value must be an integer value indicating the media progress time in seconds between (0, 86400] (excludes 0, includes 86400) (e.g., 90). For target_field watch-percentage, the target_field_value must be a valid float value between (0, 1.0] (excludes 0, includes 1.0) (e.g., 0.5).

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig optimization_objective_config = 3;

Returns
TypeDescription
Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfigOrBuilder

getTrainingState()

public abstract Engine.MediaRecommendationEngineConfig.TrainingState getTrainingState()

The training state that the engine is in (e.g. TRAINING or PAUSED).

Since part of the cost of running the service is frequency of training - this can be used to determine when to train engine in order to control cost. If not specified: the default value for CreateEngine method is TRAINING. The default value for UpdateEngine method is to keep the state the same as before.

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.TrainingState training_state = 4;

Returns
TypeDescription
Engine.MediaRecommendationEngineConfig.TrainingState

The trainingState.

getTrainingStateValue()

public abstract int getTrainingStateValue()

The training state that the engine is in (e.g. TRAINING or PAUSED).

Since part of the cost of running the service is frequency of training - this can be used to determine when to train engine in order to control cost. If not specified: the default value for CreateEngine method is TRAINING. The default value for UpdateEngine method is to keep the state the same as before.

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.TrainingState training_state = 4;

Returns
TypeDescription
int

The enum numeric value on the wire for trainingState.

getType()

public abstract String getType()

Required. The type of engine e.g. recommended-for-you.

This field together with optimization_objective describe engine metadata to use to control engine training and serving.

Currently supported values: recommended-for-you, others-you-may-like, more-like-this, most-popular-items.

string type = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
String

The type.

getTypeBytes()

public abstract ByteString getTypeBytes()

Required. The type of engine e.g. recommended-for-you.

This field together with optimization_objective describe engine metadata to use to control engine training and serving.

Currently supported values: recommended-for-you, others-you-may-like, more-like-this, most-popular-items.

string type = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
ByteString

The bytes for type.

hasOptimizationObjectiveConfig()

public abstract boolean hasOptimizationObjectiveConfig()

Name and value of the custom threshold for cvr optimization_objective. For target_field watch-time, target_field_value must be an integer value indicating the media progress time in seconds between (0, 86400] (excludes 0, includes 86400) (e.g., 90). For target_field watch-percentage, the target_field_value must be a valid float value between (0, 1.0] (excludes 0, includes 1.0) (e.g., 0.5).

.google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig optimization_objective_config = 3;

Returns
TypeDescription
boolean

Whether the optimizationObjectiveConfig field is set.