Open anomaly detection jobs API

POST _ml/anomaly_detectors/{job_id}/_open

Requires the manage_ml cluster privilege. This privilege is included in the machine_learning_admin built-in role.

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.

You can also specify the timeout query parameter in the request body.

resp = client.ml.open_job(
    job_id="low_request_rate",
    timeout="35m",
)
print(resp)

const response = await client.ml.openJob({
  job_id: "low_request_rate",
  timeout: "35m",
});
console.log(response);

POST _ml/anomaly_detectors/low_request_rate/_open
{
  "timeout": "35m"
}

When the job opens, you receive the following results:

{
  "opened" : true,
  "node" : "node-1"
}