Class: Google::Apis::RetailV2beta::GoogleCloudRetailV2betaModel

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/retail_v2beta/classes.rb,
lib/google/apis/retail_v2beta/representations.rb,
lib/google/apis/retail_v2beta/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) ⇒ GoogleCloudRetailV2betaModel

Returns a new instance of GoogleCloudRetailV2betaModel.



3634
3635
3636
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 3634

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) 


3539
3540
3541
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 3539

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) 


3548
3549
3550
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 3548

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) 


3555
3556
3557
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 3555

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) 


3561
3562
3563
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 3561

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) 


3566
3567
3568
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 3566

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) 


3574
3575
3576
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 3574

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) 


3583
3584
3585
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 3583

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) 


3590
3591
3592
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 3590

def periodic_tuning_state
  @periodic_tuning_state
end

#serving_config_lists ⇒ Array<Google::Apis::RetailV2beta::GoogleCloudRetailV2betaModelServingConfigList>

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

Returns:



3596
3597
3598
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 3596

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) 


3601
3602
3603
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 3601

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) 


3610
3611
3612
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 3610

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) 


3617
3618
3619
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 3617

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) 


3625
3626
3627
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 3625

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) 


3632
3633
3634
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 3632

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



3639
3640
3641
3642
3643
3644
3645
3646
3647
3648
3649
3650
3651
3652
3653
3654
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 3639

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)
  @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