# Licensed to Elasticsearch B.V. under one or more contributor # license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright # ownership. Elasticsearch B.V. licenses this file to you under # the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # # Auto generated from build hash f284cc16f4d4b4289bc679aa1529bb504190fe80 # @see https://github.com/elastic/elasticsearch/tree/main/rest-api-spec # module Elasticsearch module API module MachineLearning module Actions # Clear the cached results from a trained model deployment # # @option arguments [String] :model_id The unique identifier of the trained model. (*Required*) # @option arguments [Hash] :headers Custom HTTP headers # # @see https://www.elastic.co/guide/en/elasticsearch/reference/8.12/clear-trained-model-deployment-cache.html # def clear_trained_model_deployment_cache(arguments = {}) request_opts = { endpoint: arguments[:endpoint] || "ml.clear_trained_model_deployment_cache" } 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 'model_id' missing" unless arguments[:model_id] arguments = arguments.clone headers = arguments.delete(:headers) || {} body = nil _model_id = arguments.delete(:model_id) method = Elasticsearch::API::HTTP_POST path = "_ml/trained_models/#{Utils.__listify(_model_id)}/deployment/cache/_clear" params = {} Elasticsearch::API::Response.new( perform_request(method, path, params, body, headers, request_opts) ) end end end end end