stack es ml update-data-frame-analytics cli command

elastic stack es ml update-data-frame-analytics --id <id> [options]
		

Update a data frame analytics job.

--id string required

Identifier for the data frame analytics job. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters.

--description string

A description of the job.

--model-memory-limit string

The approximate maximum amount of memory resources that are permitted for analytical processing. If your elasticsearch.yml file contains an xpack.ml.max_model_memory_limit setting, an error occurs when you try to create data frame analytics jobs that have model_memory_limit values greater than that setting.

--max-num-threads number

The maximum number of threads to be used by the analysis. Using more threads may decrease the time necessary to complete the analysis at the cost of using more CPU. Note that the process may use additional threads for operational functionality other than the analysis itself.

--[no-]allow-lazy-start

Specifies whether this job can start when there is insufficient machine learning node capacity for it to be immediately assigned to a node.

--input-file string

path to a JSON file to use as command input

-V --[no-]version

Print the Elastic CLI version

--config-file string

path to a config file (default: ~/.elasticrc.yml)

--use-context string

override the active context from the config file

--command-profile string

restrict available commands to a deployment profile (serverless, stack, default)

--[no-]json

output as JSON

--output-fields string

comma-separated list of fields to include in output (dot-notation supported)

--output-template string

Mustache-like template for custom text output (e.g. "{{id}}: {{name}}")

--[no-]dry-run

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