stack es ml forecast cli command

elastic stack es ml forecast --job-id <job-id> [options]
		

Predict future behavior of a time series.

Behaviour flags:

--dry-run — validate all inputs and exit without performing any action

--job-id string required

Identifier for the anomaly detection job. The job must be open when you create a forecast; otherwise, an error occurs.

--duration string

Refer to the description for the duration query parameter.

--expires-in string

Refer to the description for the expires_in query parameter.

--max-model-memory string

Refer to the description for the max_model_memory query parameter.

--error-trace

When set to true Elasticsearch will include the full stack trace of errors when they occur.

--filter-path string

Comma-separated list of filters in dot notation which reduce the response returned by Elasticsearch.

Repeatable: pass --filter-path multiple times to supply more than one value

--human

When set to true will return statistics in a format suitable for humans. For example "exists_time": "1h" for humans and "exists_time_in_millis": 3600000 for computers. When disabled the human readable values will be omitted. This makes sense for responses being consumed only by machines.

--pretty

If set to true the returned JSON will be "pretty-formatted". Only use this option for debugging only.

--input-file string

path to a JSON file to use as command input

--dry-run

validate all inputs and exit without performing any action (preview changes without applying them)

--json

output as JSON