stack es ml put-trained-model-definition-part cli command

elastic stack es ml put-trained-model-definition-part \
  --definition <definition> \
  --total-definition-length <total-definition-length> \
  --total-parts <total-parts> \
  --model-id <model-id> \
  --part <part> \
  [options]
		

Create part of a trained model definition.

Behaviour flags:

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

--definition string required

The definition part for the model. Must be a base64 encoded string.

--total-definition-length number required

The total uncompressed definition length in bytes. Not base64 encoded.

--total-parts number required

The total number of parts that will be uploaded. Must be greater than 0.

--model-id string required

The unique identifier of the trained model.

--part number required

The definition part number. When the definition is loaded for inference the definition parts are streamed in the order of their part number. The first part must be 0 and the final part must be total_parts - 1.

--[no-]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

--[no-]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.

--[no-]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

--[no-]dry-run

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

--[no-]json

output as JSON