Class: Google::Apis::RetailV2beta::GoogleCloudRetailV2alphaModel

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) ⇒ GoogleCloudRetailV2alphaModel

Returns a new instance of GoogleCloudRetailV2alphaModel.



1169
1170
1171
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1169

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) 


1067
1068
1069
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1067

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) 


1076
1077
1078
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1076

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) 


1083
1084
1085
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1083

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) 


1089
1090
1091
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1089

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) 


1094
1095
1096
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1094

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) 


1101
1102
1103
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1101

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) 


1110
1111
1112
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1110

def optimization_objective
  @optimization_objective
end

#page_optimization_config ⇒ Google::Apis::RetailV2beta::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:



1118
1119
1120
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1118

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) 


1125
1126
1127
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1125

def periodic_tuning_state
  @periodic_tuning_state
end

#serving_config_lists ⇒ Array<Google::Apis::RetailV2beta::GoogleCloudRetailV2alphaModelServingConfigList>

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

Returns:



1131
1132
1133
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1131

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) 


1136
1137
1138
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1136

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) 


1145
1146
1147
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1145

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) 


1152
1153
1154
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1152

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) 


1160
1161
1162
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1160

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) 


1167
1168
1169
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1167

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
 
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1174

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