stack es ml get-influencers cli command

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

Get anomaly detection job results for influencers.

Behaviour flags:

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

--job-id string required

Identifier for the anomaly detection job.

--desc

If true, the results are sorted in descending order.

--end string

Returns influencers with timestamps earlier than this time. The default value means it is unset and results are not limited to specific timestamps.

--exclude-interim

If true, the output excludes interim results. By default, interim results are included.

--influencer-score number

Returns influencers with anomaly scores greater than or equal to this value.

--from number

Skips the specified number of influencers.

--size number

Specifies the maximum number of influencers to obtain.

--sort string

Specifies the sort field for the requested influencers. By default, the influencers are sorted by the influencer_score value.

--start string

Returns influencers with timestamps after this time. The default value means it is unset and results are not limited to specific timestamps.

--page string

Configures pagination. This parameter has the from and size properties.

--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