Class: Google::Apis::RetailV2::GoogleCloudRetailV2alphaModel

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) ⇒ GoogleCloudRetailV2alphaModel

Returns a new instance of GoogleCloudRetailV2alphaModel.



5372
5373
5374
 
# File 'lib/google/apis/retail_v2/classes.rb', line 5372

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) 


5269
5270
5271
 
# File 'lib/google/apis/retail_v2/classes.rb', line 5269

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) 


5278
5279
5280
 
# File 'lib/google/apis/retail_v2/classes.rb', line 5278

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) 


5285
5286
5287
 
# File 'lib/google/apis/retail_v2/classes.rb', line 5285

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) 


5291
5292
5293
 
# File 'lib/google/apis/retail_v2/classes.rb', line 5291

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) 


5296
5297
5298
 
# File 'lib/google/apis/retail_v2/classes.rb', line 5296

def last_tune_time
  @last_tune_time
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) 


5304
5305
5306
 
# File 'lib/google/apis/retail_v2/classes.rb', line 5304

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 Corresponds to the JSON property optimizationObjective

Returns:

  • (String) 


5313
5314
5315
 
# File 'lib/google/apis/retail_v2/classes.rb', line 5313

def optimization_objective
  @optimization_objective
end

#page_optimization_config ⇒ Google::Apis::RetailV2::GoogleCloudRetailV2alphaModelPageOptimizationConfig

The PageOptimizationConfig for model training. This determines how many panels to optimize for, and which serving configurations to consider for each panel. The purpose of this model is to optimize which ServingConfig to show on which panels in way that optimizes the visitors shopping journey. Corresponds to the JSON property pageOptimizationConfig

Returns:



5321
5322
5323
 
# File 'lib/google/apis/retail_v2/classes.rb', line 5321

def page_optimization_config
  @page_optimization_config
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) 


5328
5329
5330
 
# File 'lib/google/apis/retail_v2/classes.rb', line 5328

def periodic_tuning_state
  @periodic_tuning_state
end

#serving_config_lists ⇒ Array<Google::Apis::RetailV2::GoogleCloudRetailV2alphaModelServingConfigList>

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

Returns:



5334
5335
5336
 
# File 'lib/google/apis/retail_v2/classes.rb', line 5334

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) 


5339
5340
5341
 
# File 'lib/google/apis/retail_v2/classes.rb', line 5339

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) 


5348
5349
5350
 
# File 'lib/google/apis/retail_v2/classes.rb', line 5348

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) 


5355
5356
5357
 
# File 'lib/google/apis/retail_v2/classes.rb', line 5355

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, and recently-viewed( readonly value). Corresponds to the JSON property type

Returns:

  • (String) 


5363
5364
5365
 
# File 'lib/google/apis/retail_v2/classes.rb', line 5363

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) 


5370
5371
5372
 
# File 'lib/google/apis/retail_v2/classes.rb', line 5370

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



5377
5378
5379
5380
5381
5382
5383
5384
5385
5386
5387
5388
5389
5390
5391
5392
5393
 
# File 'lib/google/apis/retail_v2/classes.rb', line 5377

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)
  @name = args[:name] if args.key?(:name)
  @optimization_objective = args[:optimization_objective] if args.key?(:optimization_objective)
  @page_optimization_config = args[:page_optimization_config] if args.key?(:page_optimization_config)
  @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