MediaRecommendationEngineConfig(
mapping=None, *, ignore_unknown_fields=False, **kwargs
)
Additional config specs for a Media Recommendation engine.
Attributes | |
---|---|
Name | Description |
type_ |
str
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 .
|
optimization_objective |
str
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
|
optimization_objective_config |
google.cloud.discoveryengine_v1alpha.types.Engine.MediaRecommendationEngineConfig.OptimizationObjectiveConfig
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).
|
training_state |
google.cloud.discoveryengine_v1alpha.types.Engine.MediaRecommendationEngineConfig.TrainingState
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.
|
Classes
OptimizationObjectiveConfig
OptimizationObjectiveConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Custom threshold for cvr
optimization_objective.
TrainingState
TrainingState(value)
The training state of the engine.
Values: TRAINING_STATE_UNSPECIFIED (0): Unspecified training state. PAUSED (1): The engine training is paused. TRAINING (2): The engine is training.