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.



4579
4580
4581
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4579

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) 


4477
4478
4479
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4477

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) 


4486
4487
4488
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4486

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

Returns:

  • (String) 


4493
4494
4495
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4493

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) 


4499
4500
4501
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4499

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) 


4504
4505
4506
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4504

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) 


4511
4512
4513
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4511

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) 


4520
4521
4522
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4520

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:



4528
4529
4530
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4528

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) 


4535
4536
4537
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4535

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:



4541
4542
4543
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4541

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) 


4546
4547
4548
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4546

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) 


4555
4556
4557
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4555

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) 


4562
4563
4564
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4562

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) 


4570
4571
4572
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4570

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) 


4577
4578
4579
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4577

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



4584
4585
4586
4587
4588
4589
4590
4591
4592
4593
4594
4595
4596
4597
4598
4599
4600
 
# File 'lib/google/apis/retail_v2/classes.rb', line 4584

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