class Azure::MachineLearning::Profiles::Latest::Mgmt::MachineLearningManagementClass
Attributes
base_url[R]
configurable[R]
model_classes[R]
operations[R]
options[R]
web_services[R]
Public Class Methods
new(options = {})
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# File lib/profiles/latest/modules/machinelearning_profile_module.rb, line 61 def initialize(options = {}) if options.is_a?(Hash) && options.length == 0 @options = setup_default_options else @options = options end reset!(options) @configurable = self @base_url = options[:base_url].nil? ? nil:options[:base_url] @options = options[:options].nil? ? nil:options[:options] @client_0 = Azure::MachineLearning::Mgmt::V2017_01_01::AzureMLWebServicesManagementClient.new(configurable.credentials, base_url, options) if(@client_0.respond_to?(:subscription_id)) @client_0.subscription_id = configurable.subscription_id end add_telemetry(@client_0) @operations = @client_0.operations @web_services = @client_0.web_services @model_classes = ModelClasses.new end
Public Instance Methods
add_telemetry(client)
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# File lib/profiles/latest/modules/machinelearning_profile_module.rb, line 85 def add_telemetry(client) profile_information = 'Profiles/Latest/MachineLearning/Mgmt' client.add_user_agent_information(profile_information) end
method_missing(method, *args)
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Calls superclass method
# File lib/profiles/latest/modules/machinelearning_profile_module.rb, line 90 def method_missing(method, *args) if @client_0.respond_to?method @client_0.send(method, *args) else super end end