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
start_ml_labeling_set_generation_task_run
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, <U+201C>What is the correct way to group these rows together into groups
composed entirely of matching records?<U+201D>
After the labeling process is finished, you can upload your labels with
a call to
start_import_labels_task_run.
After
start_import_labels_task_run
finishes, all future runs of the machine learning transform will use the
new and improved labels and perform a higher-quality transformation.
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.
A list with the following syntax:
list( TaskRunId = "string" )
svc$start_ml_labeling_set_generation_task_run( TransformId = "string", OutputS3Path = "string" )