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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 StartMLLabelingSetGenerationTaskRun 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
StartImportLabelsTaskRun. After StartImportLabelsTaskRun finishes, all
future runs of the machine learning transform will use the new and improved labels
and perform a higher-quality transformation.
This is an asynchronous operation using the standard naming convention for .NET 4.5 or higher. For .NET 3.5 the operation is implemented as a pair of methods using the standard naming convention of BeginStartMLLabelingSetGenerationTaskRun and EndStartMLLabelingSetGenerationTaskRun.
Namespace: Amazon.Glue
Assembly: AWSSDK.Glue.dll
Version: 3.x.y.z
public abstract Task<StartMLLabelingSetGenerationTaskRunResponse> StartMLLabelingSetGenerationTaskRunAsync( StartMLLabelingSetGenerationTaskRunRequest request, CancellationToken cancellationToken )
Container for the necessary parameters to execute the StartMLLabelingSetGenerationTaskRun service method.
A cancellation token that can be used by other objects or threads to receive notice of cancellation.
| Exception | Condition |
|---|---|
| ConcurrentRunsExceededException | Too many jobs are being run concurrently. |
| EntityNotFoundException | A specified entity does not exist |
| InternalServiceException | An internal service error occurred. |
| InvalidInputException | The input provided was not valid. |
| OperationTimeoutException | The operation timed out. |
.NET:
Supported in: 8.0 and newer, Core 3.1
.NET Standard:
Supported in: 2.0
.NET Framework:
Supported in: 4.5 and newer