API generation

api/api/ml.put_trained_model.js

@@ -0,0 +1,81 @@
+// Licensed to Elasticsearch B.V under one or more agreements.
+// Elasticsearch B.V licenses this file to you under the Apache 2.0 License.
+// See the LICENSE file in the project root for more information
+
+'use strict'
+
+/* eslint camelcase: 0 */
+/* eslint no-unused-vars: 0 */
+
+function buildMlPutTrainedModel (opts) {
+  // eslint-disable-next-line no-unused-vars
+  const { makeRequest, ConfigurationError, handleError, snakeCaseKeys } = opts
+
+  const acceptedQuerystring = [
+
+  ]
+
+  const snakeCase = {
+
+  }
+
+  /**
+   * Perform a ml.put_trained_model request
+   * TODO
+   */
+  return function mlPutTrainedModel (params, options, callback) {
+    options = options || {}
+    if (typeof options === 'function') {
+      callback = options
+      options = {}
+    }
+    if (typeof params === 'function' || params == null) {
+      callback = params
+      params = {}
+      options = {}
+    }
+
+    // check required parameters
+    if (params['model_id'] == null && params['modelId'] == null) {
+      const err = new ConfigurationError('Missing required parameter: model_id or modelId')
+      return handleError(err, callback)
+    }
+    if (params['body'] == null) {
+      const err = new ConfigurationError('Missing required parameter: body')
+      return handleError(err, callback)
+    }
+
+    // validate headers object
+    if (options.headers != null && typeof options.headers !== 'object') {
+      const err = new ConfigurationError(`Headers should be an object, instead got: ${typeof options.headers}`)
+      return handleError(err, callback)
+    }
+
+    var warnings = []
+    var { method, body, modelId, model_id, ...querystring } = params
+    querystring = snakeCaseKeys(acceptedQuerystring, snakeCase, querystring, warnings)
+
+    var ignore = options.ignore
+    if (typeof ignore === 'number') {
+      options.ignore = [ignore]
+    }
+
+    var path = ''
+
+    if (method == null) method = 'PUT'
+    path = '/' + '_ml' + '/' + 'inference' + '/' + encodeURIComponent(model_id || modelId)
+
+    // build request object
+    const request = {
+      method,
+      path,
+      body: body || '',
+      querystring
+    }
+
+    options.warnings = warnings.length === 0 ? null : warnings
+    return makeRequest(request, options, callback)
+  }
+}
+
+module.exports = buildMlPutTrainedModel

api/index.js

@@ -360,6 +360,8 @@ function ESAPI (opts) {
       putFilter: lazyLoad('ml.put_filter', opts),
       put_job: lazyLoad('ml.put_job', opts),
       putJob: lazyLoad('ml.put_job', opts),
+      put_trained_model: lazyLoad('ml.put_trained_model', opts),
+      putTrainedModel: lazyLoad('ml.put_trained_model', opts),
       revert_model_snapshot: lazyLoad('ml.revert_model_snapshot', opts),
       revertModelSnapshot: lazyLoad('ml.revert_model_snapshot', opts),
       set_upgrade_mode: lazyLoad('ml.set_upgrade_mode', opts),

api/requestParams.d.ts

@@ -1855,6 +1855,11 @@ export interface MlPutJob<T = any> extends Generic {
   body: T;
 }
 
+export interface MlPutTrainedModel<T = any> extends Generic {
+  model_id: string;
+  body: T;
+}
+
 export interface MlRevertModelSnapshot<T = any> extends Generic {
   job_id: string;
   snapshot_id: string;