Class: Google::Apis::RetailV2::GoogleCloudRetailV2Model

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/retail_v2/classes.rb,
lib/google/apis/retail_v2/representations.rb,
lib/google/apis/retail_v2/representations.rb

Overview

Metadata that describes the training and serving parameters of a Model. A Model can be associated with a ServingConfig and then queried through the Predict API.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudRetailV2Model

Returns a new instance of GoogleCloudRetailV2Model.



2487
2488
2489
 
# File 'lib/google/apis/retail_v2/classes.rb', line 2487

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#create_time ⇒ String

Output only. Timestamp the Recommendation Model was created at. Corresponds to the JSON property createTime

Returns:

  • (String) 


2375
2376
2377
 
# File 'lib/google/apis/retail_v2/classes.rb', line 2375

def create_time
  @create_time
end

#data_state ⇒ 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. Corresponds to the JSON property dataState

Returns:

  • (String) 


2384
2385
2386
 
# File 'lib/google/apis/retail_v2/classes.rb', line 2384

def data_state
  @data_state
end

#display_name ⇒ 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. Corresponds to the JSON property displayName

Returns:

  • (String) 


2391
2392
2393
 
# File 'lib/google/apis/retail_v2/classes.rb', line 2391

def display_name
  @display_name
end

#filtering_option ⇒ String

Optional. If RECOMMENDATIONS_FILTERING_ENABLED, recommendation filtering by attributes is enabled for the model. Corresponds to the JSON property filteringOption

Returns:

  • (String) 


2397
2398
2399
 
# File 'lib/google/apis/retail_v2/classes.rb', line 2397

def filtering_option
  @filtering_option
end

#last_tune_time ⇒ String

Output only. The timestamp when the latest successful tune finished. Corresponds to the JSON property lastTuneTime

Returns:

  • (String) 


2402
2403
2404
 
# File 'lib/google/apis/retail_v2/classes.rb', line 2402

def last_tune_time
  @last_tune_time
end

#model_features_config ⇒ Google::Apis::RetailV2::GoogleCloudRetailV2ModelModelFeaturesConfig

Additional model features config. Corresponds to the JSON property modelFeaturesConfig

Returns:



2407
2408
2409
 
# File 'lib/google/apis/retail_v2/classes.rb', line 2407

def model_features_config
  @model_features_config
end

#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. Corresponds to the JSON property name

Returns:

  • (String) 


2415
2416
2417
 
# File 'lib/google/apis/retail_v2/classes.rb', line 2415

def name
  @name
end

#optimization_objective ⇒ 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. Corresponds to the JSON property optimizationObjective

Returns:

  • (String) 


2430
2431
2432
 
# File 'lib/google/apis/retail_v2/classes.rb', line 2430

def optimization_objective
  @optimization_objective
end

#periodic_tuning_state ⇒ 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. Corresponds to the JSON property periodicTuningState

Returns:

  • (String) 


2437
2438
2439
 
# File 'lib/google/apis/retail_v2/classes.rb', line 2437

def periodic_tuning_state
  @periodic_tuning_state
end

#serving_config_lists ⇒ Array<Google::Apis::RetailV2::GoogleCloudRetailV2ModelServingConfigList>

Output only. The list of valid serving configs associated with the PageOptimizationConfig. Corresponds to the JSON property servingConfigLists

Returns:



2443
2444
2445
 
# File 'lib/google/apis/retail_v2/classes.rb', line 2443

def serving_config_lists
  @serving_config_lists
end

#serving_state ⇒ String

Output only. The serving state of the model: ACTIVE, NOT_ACTIVE. Corresponds to the JSON property servingState

Returns:

  • (String) 


2448
2449
2450
 
# File 'lib/google/apis/retail_v2/classes.rb', line 2448

def serving_state
  @serving_state
end

#training_state ⇒ 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. Corresponds to the JSON property trainingState

Returns:

  • (String) 


2457
2458
2459
 
# File 'lib/google/apis/retail_v2/classes.rb', line 2457

def training_state
  @training_state
end

#tuning_operation ⇒ 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. Corresponds to the JSON property tuningOperation

Returns:

  • (String) 


2464
2465
2466
 
# File 'lib/google/apis/retail_v2/classes.rb', line 2464

def tuning_operation
  @tuning_operation
end

#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. Corresponds to the JSON property type

Returns:

  • (String) 


2478
2479
2480
 
# File 'lib/google/apis/retail_v2/classes.rb', line 2478

def type
  @type
end

#update_time ⇒ 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. Corresponds to the JSON property updateTime

Returns:

  • (String) 


2485
2486
2487
 
# File 'lib/google/apis/retail_v2/classes.rb', line 2485

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



2492
2493
2494
2495
2496
2497
2498
2499
2500
2501
2502
2503
2504
2505
2506
2507
2508
 
# File 'lib/google/apis/retail_v2/classes.rb', line 2492

def update!(**args)
  @create_time = args[:create_time] if args.key?(:create_time)
  @data_state = args[:data_state] if args.key?(:data_state)
  @display_name = args[:display_name] if args.key?(:display_name)
  @filtering_option = args[:filtering_option] if args.key?(:filtering_option)
  @last_tune_time = args[:last_tune_time] if args.key?(:last_tune_time)
  @model_features_config = args[:model_features_config] if args.key?(:model_features_config)
  @name = args[:name] if args.key?(:name)
  @optimization_objective = args[:optimization_objective] if args.key?(:optimization_objective)
  @periodic_tuning_state = args[:periodic_tuning_state] if args.key?(:periodic_tuning_state)
  @serving_config_lists = args[:serving_config_lists] if args.key?(:serving_config_lists)
  @serving_state = args[:serving_state] if args.key?(:serving_state)
  @training_state = args[:training_state] if args.key?(:training_state)
  @tuning_operation = args[:tuning_operation] if args.key?(:tuning_operation)
  @type = args[:type] if args.key?(:type)
  @update_time = args[:update_time] if args.key?(:update_time)
end