aws glue start-ml-labeling-set-generation-task-run

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, AWS 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


--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 <string>Performs service operation based on the JSON string provided. The JSON string follows the format provided by ``--generate-cli-skeleton``. If other arguments are provided on the command line, the CLI 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
--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``. If provided with the value ``output``, it validates the command inputs and returns a sample output JSON for that command