lib/elasticsearch-serverless/api/cat/ml_trained_models.rb (29 lines of code) (raw):

# 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 commit f284cc16f4d4b4289bc679aa1529bb504190fe80 # @see https://github.com/elastic/elasticsearch-specification # module ElasticsearchServerless module API module Cat module Actions # Get trained models. # Get configuration and usage information about inference trained models. # IMPORTANT: CAT APIs are only intended for human consumption using the Kibana # console or command line. They are not intended for use by applications. For # application consumption, use the get trained models statistics API. # # @option arguments [String] :model_id A unique identifier for the trained model. # @option arguments [Boolean] :allow_no_match Specifies what to do when the request: contains wildcard expressions and there are no models that match; contains the +_all+ string or no identifiers and there are no matches; contains wildcard expressions and there are only partial matches. # If +true+, the API returns an empty array when there are no matches and the subset of results when there are partial matches. # If +false+, the API returns a 404 status code when there are no matches or only partial matches. Server default: true. # @option arguments [String] :bytes The unit used to display byte values. # @option arguments [String, Array<String>] :h A comma-separated list of column names to display. # @option arguments [String, Array<String>] :s A comma-separated list of column names or aliases used to sort the response. # @option arguments [Integer] :from Skips the specified number of transforms. # @option arguments [Integer] :size The maximum number of transforms to display. # @option arguments [String] :time Unit used to display time values. # @option arguments [String] :format Specifies the format to return the columnar data in, can be set to # +text+, +json+, +cbor+, +yaml+, or +smile+. Server default: text. # @option arguments [Boolean] :help When set to +true+ will output available columns. This option # can't be combined with any other query string option. # @option arguments [Boolean] :v When set to +true+ will enable verbose output. # @option arguments [Hash] :headers Custom HTTP headers # # @see https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-cat-ml-trained-models # def ml_trained_models(arguments = {}) request_opts = { endpoint: arguments[:endpoint] || 'cat.ml_trained_models' } defined_params = [:model_id].each_with_object({}) do |variable, set_variables| set_variables[variable] = arguments[variable] if arguments.key?(variable) 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 = ElasticsearchServerless::API::HTTP_GET path = if _model_id "_cat/ml/trained_models/#{Utils.listify(_model_id)}" else '_cat/ml/trained_models' end params = Utils.process_params(arguments) ElasticsearchServerless::API::Response.new( perform_request(method, path, params, body, headers, request_opts) ) end end end end end