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

Source: R/glue_operations.R
glue_start_import_labels_task_run.Rd

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.

See https://www.paws-r-sdk.com/docs/glue_start_import_labels_task_run/ for full documentation.

Usage

glue_start_import_labels_task_run(
  TransformId,
  InputS3Path,
  ReplaceAllLabels = NULL
)

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.