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, “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
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)A list with the following syntax:
list(
TaskRunId = "string"
)
[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"
)