models

Overview

Name	models
Type	Resource
Id	google.retail.models

Fields

Name	Datatype	Description
name	string	Required. The fully qualified resource name of the model. Format: projects/{project_number}/locations/{location_id}/catalogs/{catalog_id}/models/{model_id} catalog_id has char limit of 50. recommendation_model_id has char limit of 40.
createTime	string	Output only. Timestamp the Recommendation Model was created at.
dataState	string	Output only. The state of data requirements for this model: DATA_OK and DATA_ERROR. Recommendation model cannot be trained if the data is in DATA_ERROR state. Recommendation model can have DATA_ERROR state even if serving state is ACTIVE: models were trained successfully before, but cannot be refreshed because model no longer has sufficient data for training.
displayName	string	Required. The display name of the model. Should be human readable, used to display Recommendation Models in the Retail Cloud Console Dashboard. UTF-8 encoded string with limit of 1024 characters.
filteringOption	string	Optional. If RECOMMENDATIONS_FILTERING_ENABLED, recommendation filtering by attributes is enabled for the model.
lastTuneTime	string	Output only. The timestamp when the latest successful tune finished.
modelFeaturesConfig	object	Additional model features config.
optimizationObjective	string	Optional. The optimization objective e.g. cvr. Currently supported values: ctr, cvr, revenue-per-order. If not specified, we choose default based on model type. Default depends on type of recommendation: recommended-for-you => ctr others-you-may-like => ctr frequently-bought-together => revenue_per_order This field together with optimization_objective describe model metadata to use to control model training and serving. See https://cloud.google.com/retail/docs/models for more details on what the model metadata control and which combination of parameters are valid. For invalid combinations of parameters (e.g. type = frequently-bought-together and optimization_objective = ctr), you receive an error 400 if you try to create/update a recommendation with this set of knobs.
periodicTuningState	string	Optional. The state of periodic tuning. The period we use is 3 months - to do a one-off tune earlier use the TuneModel method. Default value is PERIODIC_TUNING_ENABLED.
servingConfigLists	array	Output only. The list of valid serving configs associated with the PageOptimizationConfig.
servingState	string	Output only. The serving state of the model: ACTIVE, NOT_ACTIVE.
trainingState	string	Optional. The training state that the model 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 model in order to control cost. If not specified: the default value for CreateModel method is TRAINING. The default value for UpdateModel method is to keep the state the same as before.
tuningOperation	string	Output only. The tune operation associated with the model. Can be used to determine if there is an ongoing tune for this recommendation. Empty field implies no tune is goig on.
type	string	Required. The type of model e.g. home-page. Currently supported values: recommended-for-you, others-you-may-like, frequently-bought-together, page-optimization, similar-items, buy-it-again, on-sale-items, and recently-viewed(readonly value). This field together with optimization_objective describe model metadata to use to control model training and serving. See https://cloud.google.com/retail/docs/models for more details on what the model metadata control and which combination of parameters are valid. For invalid combinations of parameters (e.g. type = frequently-bought-together and optimization_objective = ctr), you receive an error 400 if you try to create/update a recommendation with this set of knobs.
updateTime	string	Output only. Timestamp the Recommendation Model was last updated. E.g. if a Recommendation Model was paused - this would be the time the pause was initiated.

Methods

Name	Accessible by	Required Params	Description
projects_locations_catalogs_models_get	SELECT	catalogsId, locationsId, modelsId, projectsId	Gets a model.
projects_locations_catalogs_models_list	SELECT	catalogsId, locationsId, projectsId	Lists all the models linked to this event store.
projects_locations_catalogs_models_create	INSERT	catalogsId, locationsId, projectsId	Creates a new model.
projects_locations_catalogs_models_delete	DELETE	catalogsId, locationsId, modelsId, projectsId	Deletes an existing model.
_projects_locations_catalogs_models_list	EXEC	catalogsId, locationsId, projectsId	Lists all the models linked to this event store.
projects_locations_catalogs_models_patch	EXEC	catalogsId, locationsId, modelsId, projectsId	Update of model metadata. Only fields that currently can be updated are: filtering_option and periodic_tuning_state. If other values are provided, this API method ignores them.
projects_locations_catalogs_models_pause	EXEC	catalogsId, locationsId, modelsId, projectsId	Pauses the training of an existing model.
projects_locations_catalogs_models_resume	EXEC	catalogsId, locationsId, modelsId, projectsId	Resumes the training of an existing model.
projects_locations_catalogs_models_tune	EXEC	catalogsId, locationsId, modelsId, projectsId	Tunes an existing model.