Method: Elasticsearch::API::MachineLearning::Actions#update_trained_model_deployment

Defined in:
lib/elasticsearch/api/actions/machine_learning/update_trained_model_deployment.rb

#update_trained_model_deployment(arguments = {}) ⇒ Object

Updates certain properties of trained model deployment. This functionality is in Beta and is subject to change. The design and code is less mature than official GA features and is being provided as-is with no warranties. Beta features are not subject to the support SLA of official GA features.

Parameters:

  • arguments (Hash) (defaults to: {}) —

    a customizable set of options

Options Hash (arguments):

  • :model_id (String) —

    The unique identifier of the trained model.

  • :headers (Hash) —

    Custom HTTP headers

  • :body (Hash) —

    The updated trained model deployment settings (Required)

Raises:

  • (ArgumentError)

See Also:



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# File 'lib/elasticsearch/api/actions/machine_learning/update_trained_model_deployment.rb', line 37

def update_trained_model_deployment(arguments = {})
  request_opts = { endpoint: arguments[:endpoint] || "ml.update_trained_model_deployment" }

  defined_params = [:model_id].inject({}) do |set_variables, variable|
    set_variables[variable] = arguments[variable] if arguments.key?(variable)
    set_variables
  end
  request_opts[:defined_params] = defined_params unless defined_params.empty?

  raise ArgumentError, "Required argument 'body' missing" unless arguments[:body]
  raise ArgumentError, "Required argument 'model_id' missing" unless arguments[:model_id]

  arguments = arguments.clone
  headers = arguments.delete(:headers) || {}

  body = arguments.delete(:body)

  _model_id = arguments.delete(:model_id)

  method = Elasticsearch::API::HTTP_POST
  path   = "_ml/trained_models/#{Utils.__listify(_model_id)}/deployment/_update"
  params = {}

  Elasticsearch::API::Response.new(
    perform_request(method, path, params, body, headers, request_opts)
  )
end