public static interface Engine.MediaRecommendationEngineConfigOrBuilder
extends com.google.protobuf.MessageOrBuilder
| Modifier and Type | Method and Description |
|---|---|
String |
getOptimizationObjective()
The optimization objective. e.g., `cvr`.
|
com.google.protobuf.ByteString |
getOptimizationObjectiveBytes()
The optimization objective. e.g., `cvr`.
|
Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig |
getOptimizationObjectiveConfig()
Name and value of the custom threshold for cvr optimization_objective.
|
Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfigOrBuilder |
getOptimizationObjectiveConfigOrBuilder()
Name and value of the custom threshold for cvr optimization_objective.
|
Engine.MediaRecommendationEngineConfig.TrainingState |
getTrainingState()
The training state that the engine is in (e.g.
|
int |
getTrainingStateValue()
The training state that the engine is in (e.g.
|
String |
getType()
Required.
|
com.google.protobuf.ByteString |
getTypeBytes()
Required.
|
boolean |
hasOptimizationObjectiveConfig()
Name and value of the custom threshold for cvr optimization_objective.
|
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofString getType()
Required. The type of engine. e.g., `recommended-for-you`. This field together with [optimization_objective][Engine.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];com.google.protobuf.ByteString getTypeBytes()
Required. The type of engine. e.g., `recommended-for-you`. This field together with [optimization_objective][Engine.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];String getOptimizationObjective()
The optimization objective. e.g., `cvr`. This field together with [optimization_objective][google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.type] 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;com.google.protobuf.ByteString getOptimizationObjectiveBytes()
The optimization objective. e.g., `cvr`. This field together with [optimization_objective][google.cloud.discoveryengine.v1alpha.Engine.MediaRecommendationEngineConfig.type] 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;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;
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;
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;
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;
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;
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