Method: Elasticsearch::API::MachineLearning::Actions#get_trained_models_stats

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

#get_trained_models_stats(arguments = {}) ⇒ Object

Retrieves usage information for trained inference models.

Parameters:

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

    a customizable set of options

Options Hash (arguments):

  • :model_id (String) —

    The ID of the trained models stats to fetch

  • :allow_no_match (Boolean) —

    Whether to ignore if a wildcard expression matches no trained models. (This includes _all string or when no trained models have been specified)

  • :from (Integer) —

    skips a number of trained models

  • :size (Integer) —

    specifies a max number of trained models to get

  • :headers (Hash) —

    Custom HTTP headers

See Also:



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# File 'lib/elasticsearch/api/actions/machine_learning/get_trained_models_stats.rb', line 35

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

  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?

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

  body = nil

  _model_id = arguments.delete(:model_id)

  method = Elasticsearch::API::HTTP_GET
  path   = if _model_id
             "_ml/trained_models/#{Utils.__listify(_model_id)}/_stats"
           else
             "_ml/trained_models/_stats"
           end
  params = Utils.process_params(arguments)

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