Start Import Labels Task Run

glue_start_import_labels_task_run

R Documentation

Enables you to provide additional labels (examples of truth) to be used to teach the machine learning transform and improve its quality

Description

Enables you to provide additional labels (examples of truth) to be used to teach the machine learning transform and improve its quality. This API operation is generally used as part of the active learning workflow that starts with the start_ml_labeling_set_generation_task_run call and that ultimately results in improving the quality of your machine learning transform.

After the start_ml_labeling_set_generation_task_run finishes, Glue machine learning will have generated a series of questions for humans to answer. (Answering these questions is often called 'labeling' in the machine learning workflows). 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, users upload their answers/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 use the new and improved labels and perform a higher-quality transformation.

By default, start_ml_labeling_set_generation_task_run continually learns from and combines all labels that you upload unless you set Replace to true. If you set Replace to true, start_import_labels_task_run deletes and forgets all previously uploaded labels and learns only from the exact set that you upload. Replacing labels can be helpful if you realize that you previously uploaded incorrect labels, and you believe that they are having a negative effect on your transform quality.

You can check on the status of your task run by calling the get_ml_task_run operation.

Usage

glue_start_import_labels_task_run(TransformId, InputS3Path,
  ReplaceAllLabels)

Arguments

TransformId

[required] The unique identifier of the machine learning transform.

InputS3Path

[required] The Amazon Simple Storage Service (Amazon S3) path from where you import the labels.

ReplaceAllLabels

Indicates whether to overwrite your existing labels.

Value

A list with the following syntax:

list(
  TaskRunId = "string"
)

Request syntax

svc$start_import_labels_task_run(
  TransformId = "string",
  InputS3Path = "string",
  ReplaceAllLabels = TRUE|FALSE
)