Starts the active learning workflow for your machine learning transform to improve the transform’s quality by generating label sets and adding labels.
When the StartMLLabelingSetGenerationTaskRun
finishes, Glue will have generated a “labeling set” or a set of questions for humans to answer.
In the case of the FindMatches
transform, these questions are of the form, “What is the correct way to group these rows together into groups composed entirely of matching records?”
After the labeling process is finished, you can upload your labels with a call to StartImportLabelsTaskRun
. After StartImportLabelsTaskRun
finishes, all future runs of the machine learning transform will use the new and improved labels and perform a higher-quality transformation.
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
start-ml-labeling-set-generation-task-run
--transform-id <value>
--output-s3-path <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
--transform-id
(string)
The unique identifier of the machine learning transform.
--output-s3-path
(string)
The Amazon Simple Storage Service (Amazon S3) path where you generate the labeling set.
--cli-input-json
| --cli-input-yaml
(string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml
.
--generate-cli-skeleton
(string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input
, prints a sample input JSON that can be used as an argument for --cli-input-json
. Similarly, if provided yaml-input
it will print a sample input YAML that can be used with --cli-input-yaml
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command.
See ‘aws help’ for descriptions of global parameters.