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MlOpenJobRequest.ts
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/*
* 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.
*/
import { RequestBase } from '@_types/Base'
import { Id } from '@_types/common'
import { Duration } from '@_types/Time'
/**
* Opens one or more anomaly detection jobs.
* An anomaly detection job must be opened in order for it to be ready to
* receive and analyze data. It can be opened and closed multiple times
* throughout its lifecycle.
* When you open a new job, it starts with an empty model.
* When you open an existing job, the most recent model state is automatically
* loaded. The job is ready to resume its analysis from where it left off, once
* new data is received.
* @rest_spec_name ml.open_job
* @availability stack since=5.4.0 stability=stable
* @availability serverless stability=stable visibility=public
* @cluster_privileges manage_ml
*/
export interface Request extends RequestBase {
path_parts: {
/**
* Identifier for the anomaly detection job.
*/
job_id: Id
}
query_parameters: {
/**
* Controls the time to wait until a job has opened.
* @server_default 30m
*/
timeout?: Duration
}
body: {
/**
* Refer to the description for the `timeout` query parameter.
* @server_default 30m
*/
timeout?: Duration
}
}