GetModelResult constructor

const GetModelResult({
  1. required String createTime,
  2. required String dataState,
  3. required String displayName,
  4. required String filteringOption,
  5. required String lastTuneTime,
  6. required GoogleCloudRetailV2ModelModelFeaturesConfigResponse modelFeaturesConfig,
  7. required String name,
  8. required String optimizationObjective,
  9. required String periodicTuningState,
  10. required List<GoogleCloudRetailV2ModelServingConfigListResponse> servingConfigLists,
  11. required String servingState,
  12. required String trainingState,
  13. required String tuningOperation,
  14. required String type,
  15. required String updateTime,
})

Creates a new GetModelResult. createTime Timestamp the Recommendation Model was created at. dataState 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 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 Optional. If RECOMMENDATIONS_FILTERING_ENABLED, recommendation filtering by attributes is enabled for the model. lastTuneTime The timestamp when the latest successful tune finished. modelFeaturesConfig Optional. Additional model features config. name 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. optimizationObjective 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 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 The list of valid serving configs associated with the PageOptimizationConfig. servingState The serving state of the model: ACTIVE, NOT_ACTIVE. trainingState 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 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 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 Timestamp the Recommendation Model was last updated. E.g. if a Recommendation Model was paused - this would be the time the pause was initiated.

Implementation

const GetModelResult({
  required this.createTime,
  required this.dataState,
  required this.displayName,
  required this.filteringOption,
  required this.lastTuneTime,
  required this.modelFeaturesConfig,
  required this.name,
  required this.optimizationObjective,
  required this.periodicTuningState,
  required this.servingConfigLists,
  required this.servingState,
  required this.trainingState,
  required this.tuningOperation,
  required this.type,
  required this.updateTime,
});