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.



4297
4298
4299
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4297

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) 


4195
4196
4197
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4195

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) 


4204
4205
4206
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4204

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 Pantheon Dashboard. UTF-8 encoded string with limit of 1024 characters. Corresponds to the JSON property displayName

Returns:

  • (String) 


4211
4212
4213
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4211

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) 


4217
4218
4219
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4217

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) 


4222
4223
4224
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4222

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) 


4229
4230
4231
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4229

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) 


4238
4239
4240
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4238

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:



4246
4247
4248
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4246

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) 


4253
4254
4255
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4253

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:



4259
4260
4261
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4259

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) 


4264
4265
4266
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4264

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) 


4273
4274
4275
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4273

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) 


4280
4281
4282
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4280

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

Returns:

  • (String) 


4288
4289
4290
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4288

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) 


4295
4296
4297
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4295

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



4302
4303
4304
4305
4306
4307
4308
4309
4310
4311
4312
4313
4314
4315
4316
4317
4318
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4302

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