StartImportLabelsTaskRun
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, AWS 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. 
Request Syntax
{
   "InputS3Path": "string",
   "ReplaceAllLabels": boolean,
   "TransformId": "string"
}Request Parameters
For information about the parameters that are common to all actions, see Common Parameters.
The request accepts the following data in JSON format.
- InputS3Path
- 
               The Amazon Simple Storage Service (Amazon S3) path from where you import the labels. Type: String Required: Yes 
- ReplaceAllLabels
- 
               Indicates whether to overwrite your existing labels. Type: Boolean Required: No 
- TransformId
- 
               The unique identifier of the machine learning transform. Type: String Length Constraints: Minimum length of 1. Maximum length of 255. Pattern: [\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\t]*Required: Yes 
Response Syntax
{
   "TaskRunId": "string"
}Response Elements
If the action is successful, the service sends back an HTTP 200 response.
The following data is returned in JSON format by the service.
- TaskRunId
- 
               The unique identifier for the task run. Type: String Length Constraints: Minimum length of 1. Maximum length of 255. Pattern: [\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\t]*
Errors
For information about the errors that are common to all actions, see Common Errors.
- EntityNotFoundException
- 
               A specified entity does not exist - FromFederationSource
- 
                        Indicates whether or not the exception relates to a federated source. 
- Message
- 
                        A message describing the problem. 
 HTTP Status Code: 400 
- InternalServiceException
- 
               An internal service error occurred. - Message
- 
                        A message describing the problem. 
 HTTP Status Code: 500 
- InvalidInputException
- 
               The input provided was not valid. - FromFederationSource
- 
                        Indicates whether or not the exception relates to a federated source. 
- Message
- 
                        A message describing the problem. 
 HTTP Status Code: 400 
- OperationTimeoutException
- 
               The operation timed out. - Message
- 
                        A message describing the problem. 
 HTTP Status Code: 400 
- ResourceNumberLimitExceededException
- 
               A resource numerical limit was exceeded. - Message
- 
                        A message describing the problem. 
 HTTP Status Code: 400 
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: