Starts the active learning workflow for your machine learning transform to improve the transform\'s quality by generating label sets and adding labels.
glue_start_ml_labeling_set_generation_task_run(TransformId,
OutputS3Path)[required] The unique identifier of the machine learning transform.
[required] The Amazon Simple Storage Service (Amazon S3) path where you generate the labeling set.
svc$start_ml_labeling_set_generation_task_run( TransformId = "string", OutputS3Path = "string" )
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.