Class: Google::Apis::RetailV2beta::GoogleCloudRetailV2alphaModel
- Inherits:
-
Object
- Object
- Google::Apis::RetailV2beta::GoogleCloudRetailV2alphaModel
- 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
-
#create_time ⇒ String
Output only.
-
#data_state ⇒ String
Output only.
-
#display_name ⇒ String
Required.
-
#filtering_option ⇒ String
Optional.
-
#last_tune_time ⇒ String
Output only.
-
#name ⇒ String
Required.
-
#optimization_objective ⇒ String
Optional.
-
#page_optimization_config ⇒ Google::Apis::RetailV2beta::GoogleCloudRetailV2alphaModelPageOptimizationConfig
The PageOptimizationConfig for model training.
-
#periodic_tuning_state ⇒ String
Optional.
-
#serving_config_lists ⇒ Array<Google::Apis::RetailV2beta::GoogleCloudRetailV2alphaModelServingConfigList>
Output only.
-
#serving_state ⇒ String
Output only.
-
#training_state ⇒ String
Optional.
-
#tuning_operation ⇒ String
Output only.
-
#type ⇒ String
Required.
-
#update_time ⇒ String
Output only.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudRetailV2alphaModel
constructor
A new instance of GoogleCloudRetailV2alphaModel.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudRetailV2alphaModel
Returns a new instance of GoogleCloudRetailV2alphaModel.
1189 1190 1191 |
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1189 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
1074 1075 1076 |
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1074 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
1083 1084 1085 |
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1083 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
1090 1091 1092 |
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1090 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
1096 1097 1098 |
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1096 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
1101 1102 1103 |
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1101 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
1109 1110 1111 |
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1109 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 This field together with optimization_objective describe
model metadata to use to control model training and serving. See https://cloud.
google.com/retail/docs/models for more details on what the model metadata
control and which combination of parameters are valid. For invalid
combinations of parameters (e.g. type = frequently-bought-together and
optimization_objective = ctr), you receive an error 400 if you try to create/
update a recommendation with this set of knobs.
Corresponds to the JSON property optimizationObjective
1124 1125 1126 |
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1124 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
1132 1133 1134 |
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1132 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
1139 1140 1141 |
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1139 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
1145 1146 1147 |
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1145 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
1150 1151 1152 |
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1150 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
1159 1160 1161 |
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1159 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
1166 1167 1168 |
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1166 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). This field together with optimization_objective describe
model metadata to use to control model training and serving. See https://cloud.
google.com/retail/docs/models for more details on what the model metadata
control and which combination of parameters are valid. For invalid
combinations of parameters (e.g. type = frequently-bought-together and
optimization_objective = ctr), you receive an error 400 if you try to create/
update a recommendation with this set of knobs.
Corresponds to the JSON property type
1180 1181 1182 |
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1180 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
1187 1188 1189 |
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1187 def update_time @update_time end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 |
# File 'lib/google/apis/retail_v2beta/classes.rb', line 1194 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 |