Glue.Client.
start_import_labels_task_run
(**kwargs)¶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 StartMLLabelingSetGenerationTaskRun
call and that ultimately results in improving the quality of your machine learning transform.
After the StartMLLabelingSetGenerationTaskRun
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 StartImportLabelsTaskRun
. After StartImportLabelsTaskRun
finishes, all future runs of the machine learning transform use the new and improved labels and perform a higher-quality transformation.
By default, StartMLLabelingSetGenerationTaskRun
continually learns from and combines all labels that you upload unless you set Replace
to true. If you set Replace
to true, StartImportLabelsTaskRun
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 GetMLTaskRun
operation.
See also: AWS API Documentation
Request Syntax
response = client.start_import_labels_task_run(
TransformId='string',
InputS3Path='string',
ReplaceAllLabels=True|False
)
[REQUIRED]
The unique identifier of the machine learning transform.
[REQUIRED]
The Amazon Simple Storage Service (Amazon S3) path from where you import the labels.
dict
Response Syntax
{
'TaskRunId': 'string'
}
Response Structure
(dict) --
TaskRunId (string) --
The unique identifier for the task run.
Exceptions
Glue.Client.exceptions.EntityNotFoundException
Glue.Client.exceptions.InvalidInputException
Glue.Client.exceptions.OperationTimeoutException
Glue.Client.exceptions.ResourceNumberLimitExceededException
Glue.Client.exceptions.InternalServiceException