Struct aws_sdk_glue::client::fluent_builders::StartMLLabelingSetGenerationTaskRun

pub struct StartMLLabelingSetGenerationTaskRun<C = DynConnector, M = DefaultMiddleware, R = Standard> { /* fields omitted */ }

Fluent builder constructing a request to StartMLLabelingSetGenerationTaskRun.

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.

Implementations

impl<C, M, R> StartMLLabelingSetGenerationTaskRun<C, M, R> where
    C: SmithyConnector,
    M: SmithyMiddleware<C>,
    R: NewRequestPolicy, 

pub async fn send(
    self
) -> Result<StartMlLabelingSetGenerationTaskRunOutput, SdkError<StartMLLabelingSetGenerationTaskRunError>> where
    R::Policy: SmithyRetryPolicy<StartMlLabelingSetGenerationTaskRunInputOperationOutputAlias, StartMlLabelingSetGenerationTaskRunOutput, StartMLLabelingSetGenerationTaskRunError, StartMlLabelingSetGenerationTaskRunInputOperationRetryAlias>, 

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn transform_id(self, inp: impl Into<String>) -> Self

The unique identifier of the machine learning transform.

pub fn set_transform_id(self, input: Option<String>) -> Self

The unique identifier of the machine learning transform.

pub fn output_s3_path(self, inp: impl Into<String>) -> Self

The Amazon Simple Storage Service (Amazon S3) path where you generate the labeling set.

pub fn set_output_s3_path(self, input: Option<String>) -> Self

The Amazon Simple Storage Service (Amazon S3) path where you generate the labeling set.

Trait Implementations

impl<C: Debug, M: Debug, R: Debug> Debug for StartMLLabelingSetGenerationTaskRun<C, M, R>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.