Start Ml Labeling Set Generation Task Run

glue_start_ml_labeling_set_generation_task_run

R Documentation

Starts the active learning workflow for your machine learning transform to improve the transform's quality by generating label sets and adding labels¶

Description¶

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, 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.

Usage¶

glue_start_ml_labeling_set_generation_task_run(TransformId,
  OutputS3Path)

Arguments¶

TransformId: [required] The unique identifier of the machine learning transform.
OutputS3Path: [required] The Amazon Simple Storage Service (Amazon S3) path where you generate the labeling set.

Value¶

A list with the following syntax:

list(
  TaskRunId = "string"
)

Request syntax¶

svc$start_ml_labeling_set_generation_task_run(
  TransformId = "string",
  OutputS3Path = "string"
)