DescribeTransformJobOutputBuilder

aws_sdk_sagemaker::operation::describe_transform_job::builders

Struct DescribeTransformJobOutputBuilder 

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#[non_exhaustive]
pub struct DescribeTransformJobOutputBuilder { /* private fields */ }
Expand description

A builder for DescribeTransformJobOutput.

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impl DescribeTransformJobOutputBuilder

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pub fn transform_job_name(self, input: impl Into<String>) -> Self

The name of the transform job.

This field is required.
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pub fn set_transform_job_name(self, input: Option<String>) -> Self

The name of the transform job.

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pub fn get_transform_job_name(&self) -> &Option<String>

The name of the transform job.

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pub fn transform_job_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of the transform job.

This field is required.
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pub fn set_transform_job_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of the transform job.

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pub fn get_transform_job_arn(&self) -> &Option<String>

The Amazon Resource Name (ARN) of the transform job.

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pub fn transform_job_status(self, input: TransformJobStatus) -> Self

The status of the transform job. If the transform job failed, the reason is returned in the FailureReason field.

This field is required.
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pub fn set_transform_job_status(self, input: Option<TransformJobStatus>) -> Self

The status of the transform job. If the transform job failed, the reason is returned in the FailureReason field.

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pub fn get_transform_job_status(&self) -> &Option<TransformJobStatus>

The status of the transform job. If the transform job failed, the reason is returned in the FailureReason field.

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pub fn failure_reason(self, input: impl Into<String>) -> Self

If the transform job failed, FailureReason describes why it failed. A transform job creates a log file, which includes error messages, and stores it as an Amazon S3 object. For more information, see Log Amazon SageMaker Events with Amazon CloudWatch.

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

If the transform job failed, FailureReason describes why it failed. A transform job creates a log file, which includes error messages, and stores it as an Amazon S3 object. For more information, see Log Amazon SageMaker Events with Amazon CloudWatch.

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pub fn get_failure_reason(&self) -> &Option<String>

If the transform job failed, FailureReason describes why it failed. A transform job creates a log file, which includes error messages, and stores it as an Amazon S3 object. For more information, see Log Amazon SageMaker Events with Amazon CloudWatch.

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pub fn model_name(self, input: impl Into<String>) -> Self

The name of the model used in the transform job.

This field is required.
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pub fn set_model_name(self, input: Option<String>) -> Self

The name of the model used in the transform job.

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pub fn get_model_name(&self) -> &Option<String>

The name of the model used in the transform job.

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pub fn max_concurrent_transforms(self, input: i32) -> Self

The maximum number of parallel requests on each instance node that can be launched in a transform job. The default value is 1.

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pub fn set_max_concurrent_transforms(self, input: Option<i32>) -> Self

The maximum number of parallel requests on each instance node that can be launched in a transform job. The default value is 1.

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pub fn get_max_concurrent_transforms(&self) -> &Option<i32>

The maximum number of parallel requests on each instance node that can be launched in a transform job. The default value is 1.

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pub fn model_client_config(self, input: ModelClientConfig) -> Self

The timeout and maximum number of retries for processing a transform job invocation.

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pub fn set_model_client_config(self, input: Option<ModelClientConfig>) -> Self

The timeout and maximum number of retries for processing a transform job invocation.

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pub fn get_model_client_config(&self) -> &Option<ModelClientConfig>

The timeout and maximum number of retries for processing a transform job invocation.

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pub fn max_payload_in_mb(self, input: i32) -> Self

The maximum payload size, in MB, used in the transform job.

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pub fn set_max_payload_in_mb(self, input: Option<i32>) -> Self

The maximum payload size, in MB, used in the transform job.

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pub fn get_max_payload_in_mb(&self) -> &Option<i32>

The maximum payload size, in MB, used in the transform job.

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pub fn batch_strategy(self, input: BatchStrategy) -> Self

Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.

To enable the batch strategy, you must set SplitType to Line, RecordIO, or TFRecord.

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pub fn set_batch_strategy(self, input: Option<BatchStrategy>) -> Self

Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.

To enable the batch strategy, you must set SplitType to Line, RecordIO, or TFRecord.

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pub fn get_batch_strategy(&self) -> &Option<BatchStrategy>

Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.

To enable the batch strategy, you must set SplitType to Line, RecordIO, or TFRecord.

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pub fn environment(self, k: impl Into<String>, v: impl Into<String>) -> Self

Adds a key-value pair to environment.

To override the contents of this collection use set_environment.

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

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

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

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pub fn get_environment(&self) -> &Option<HashMap<String, String>>

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

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pub fn transform_input(self, input: TransformInput) -> Self

Describes the dataset to be transformed and the Amazon S3 location where it is stored.

This field is required.
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pub fn set_transform_input(self, input: Option<TransformInput>) -> Self

Describes the dataset to be transformed and the Amazon S3 location where it is stored.

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pub fn get_transform_input(&self) -> &Option<TransformInput>

Describes the dataset to be transformed and the Amazon S3 location where it is stored.

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pub fn transform_output(self, input: TransformOutput) -> Self

Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.

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pub fn set_transform_output(self, input: Option<TransformOutput>) -> Self

Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.

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pub fn get_transform_output(&self) -> &Option<TransformOutput>

Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.

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pub fn data_capture_config(self, input: BatchDataCaptureConfig) -> Self

Configuration to control how SageMaker captures inference data.

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pub fn set_data_capture_config( self, input: Option<BatchDataCaptureConfig>, ) -> Self

Configuration to control how SageMaker captures inference data.

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pub fn get_data_capture_config(&self) -> &Option<BatchDataCaptureConfig>

Configuration to control how SageMaker captures inference data.

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pub fn transform_resources(self, input: TransformResources) -> Self

Describes the resources, including ML instance types and ML instance count, to use for the transform job.

This field is required.
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pub fn set_transform_resources(self, input: Option<TransformResources>) -> Self

Describes the resources, including ML instance types and ML instance count, to use for the transform job.

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pub fn get_transform_resources(&self) -> &Option<TransformResources>

Describes the resources, including ML instance types and ML instance count, to use for the transform job.

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pub fn creation_time(self, input: DateTime) -> Self

A timestamp that shows when the transform Job was created.

This field is required.
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pub fn set_creation_time(self, input: Option<DateTime>) -> Self

A timestamp that shows when the transform Job was created.

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pub fn get_creation_time(&self) -> &Option<DateTime>

A timestamp that shows when the transform Job was created.

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pub fn transform_start_time(self, input: DateTime) -> Self

Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.

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pub fn set_transform_start_time(self, input: Option<DateTime>) -> Self

Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.

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pub fn get_transform_start_time(&self) -> &Option<DateTime>

Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.

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pub fn transform_end_time(self, input: DateTime) -> Self

Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.

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pub fn set_transform_end_time(self, input: Option<DateTime>) -> Self

Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.

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pub fn get_transform_end_time(&self) -> &Option<DateTime>

Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.

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pub fn labeling_job_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.

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

The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.

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pub fn get_labeling_job_arn(&self) -> &Option<String>

The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.

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pub fn auto_ml_job_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of the AutoML transform job.

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

The Amazon Resource Name (ARN) of the AutoML transform job.

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pub fn get_auto_ml_job_arn(&self) -> &Option<String>

The Amazon Resource Name (ARN) of the AutoML transform job.

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pub fn data_processing(self, input: DataProcessing) -> Self

The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.

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pub fn set_data_processing(self, input: Option<DataProcessing>) -> Self

The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.

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pub fn get_data_processing(&self) -> &Option<DataProcessing>

The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.

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pub fn experiment_config(self, input: ExperimentConfig) -> Self

Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:

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pub fn set_experiment_config(self, input: Option<ExperimentConfig>) -> Self

Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:

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pub fn get_experiment_config(&self) -> &Option<ExperimentConfig>

Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:

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pub fn build(self) -> DescribeTransformJobOutput

Consumes the builder and constructs a DescribeTransformJobOutput.

Trait Implementations§

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impl Clone for DescribeTransformJobOutputBuilder

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fn clone(&self) -> DescribeTransformJobOutputBuilder

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for DescribeTransformJobOutputBuilder

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

Formats the value using the given formatter. Read more
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impl Default for DescribeTransformJobOutputBuilder

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fn default() -> DescribeTransformJobOutputBuilder

Returns the “default value” for a type. Read more
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impl PartialEq for DescribeTransformJobOutputBuilder

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fn eq(&self, other: &DescribeTransformJobOutputBuilder) -> bool

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for DescribeTransformJobOutputBuilder

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fn paint<S>(&self, style: S) -> Painted<&Self>
where S: Into<Style>,

Apply a style wholesale to self. Any previous style is replaced. Read more
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impl<T> Same for T

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type Output = T

Should always be Self
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impl<T> ToOwned for T
where T: Clone,

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type Owned = T

The resulting type after obtaining ownership.
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fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more
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fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more
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impl<T, U> TryFrom<U> for T
where U: Into<T>,

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type Error = Infallible

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
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impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.
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impl<T> WithSubscriber for T

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fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self>
where S: Into<Dispatch>,

Attaches the provided Subscriber to this type, returning a WithDispatch wrapper. Read more
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fn with_current_subscriber(self) -> WithDispatch<Self>

Attaches the current default Subscriber to this type, returning a WithDispatch wrapper. Read more
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impl<T> ErasedDestructor for T
where T: 'static,