stack es ml put-trained-model-vocabulary cli command

elastic stack es ml put-trained-model-vocabulary \
  --vocabulary <vocabulary> \
  --model-id <model-id> \
  [options]
		

Create a trained model vocabulary.

Behaviour flags:

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

--vocabulary string[] required

The model vocabulary, which must not be empty.

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

--model-id string required

The unique identifier of the trained model.

--merges string[]

The optional model merges if required by the tokenizer.

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

--scores string[]

The optional vocabulary value scores if required by the tokenizer.

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

--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