class Google::Apis::RetailV2beta::GoogleCloudRetailV2Model
Predict API.
Model can be associated with a ServingConfig and then queried through the
Metadata that describes the training and serving parameters of a Model. A
def initialize(**args)
def initialize(**args) update!(**args) end
def update!(**args)
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) @model_features_config = args[:model_features_config] if args.key?(:model_features_config) @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