Struct aws_sdk_glue::operation::update_ml_transform::builders::UpdateMLTransformFluentBuilder

pub struct UpdateMLTransformFluentBuilder { /* private fields */ }

Fluent builder constructing a request to UpdateMLTransform.

Updates an existing machine learning transform. Call this operation to tune the algorithm parameters to achieve better results.

After calling this operation, you can call the StartMLEvaluationTaskRun operation to assess how well your new parameters achieved your goals (such as improving the quality of your machine learning transform, or making it more cost-effective).

Implementations

impl UpdateMLTransformFluentBuilder

pub fn as_input(&self) -> &UpdateMlTransformInputBuilder

Access the UpdateMLTransform as a reference.

pub async fn send( self, ) -> Result<UpdateMlTransformOutput, SdkError<UpdateMLTransformError, HttpResponse>>

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 customize( self, ) -> CustomizableOperation<UpdateMlTransformOutput, UpdateMLTransformError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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

A unique identifier that was generated when the transform was created.

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

A unique identifier that was generated when the transform was created.

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

A unique identifier that was generated when the transform was created.

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

The unique name that you gave the transform when you created it.

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

The unique name that you gave the transform when you created it.

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

The unique name that you gave the transform when you created it.

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

A description of the transform. The default is an empty string.

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

A description of the transform. The default is an empty string.

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

A description of the transform. The default is an empty string.

pub fn parameters(self, input: TransformParameters) -> Self

The configuration parameters that are specific to the transform type (algorithm) used. Conditionally dependent on the transform type.

pub fn set_parameters(self, input: Option<TransformParameters>) -> Self

The configuration parameters that are specific to the transform type (algorithm) used. Conditionally dependent on the transform type.

pub fn get_parameters(&self) -> &Option<TransformParameters>

The configuration parameters that are specific to the transform type (algorithm) used. Conditionally dependent on the transform type.

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

The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.

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

The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.

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

The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.

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

This value determines which version of Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see Glue Versions in the developer guide.

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

This value determines which version of Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see Glue Versions in the developer guide.

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

This value determines which version of Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see Glue Versions in the developer guide.

pub fn max_capacity(self, input: f64) -> Self

The number of Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.

When the WorkerType field is set to a value other than Standard, the MaxCapacity field is set automatically and becomes read-only.

pub fn set_max_capacity(self, input: Option<f64>) -> Self

The number of Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.

When the WorkerType field is set to a value other than Standard, the MaxCapacity field is set automatically and becomes read-only.

pub fn get_max_capacity(&self) -> &Option<f64>

The number of Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.

When the WorkerType field is set to a value other than Standard, the MaxCapacity field is set automatically and becomes read-only.

pub fn worker_type(self, input: WorkerType) -> Self

The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X.

• For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.

• For the G.1X worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.

• For the G.2X worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.

pub fn set_worker_type(self, input: Option<WorkerType>) -> Self

The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X.

• For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.

• For the G.1X worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.

• For the G.2X worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.

pub fn get_worker_type(&self) -> &Option<WorkerType>

The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X.

• For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.

• For the G.1X worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.

• For the G.2X worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.

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

The number of workers of a defined workerType that are allocated when this task runs.

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

The number of workers of a defined workerType that are allocated when this task runs.

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

The number of workers of a defined workerType that are allocated when this task runs.

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

The timeout for a task run for this transform in minutes. This is the maximum time that a task run for this transform can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).

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

The timeout for a task run for this transform in minutes. This is the maximum time that a task run for this transform can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).

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

The timeout for a task run for this transform in minutes. This is the maximum time that a task run for this transform can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).

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

The maximum number of times to retry a task for this transform after a task run fails.

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

The maximum number of times to retry a task for this transform after a task run fails.

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

The maximum number of times to retry a task for this transform after a task run fails.

Trait Implementations

impl Clone for UpdateMLTransformFluentBuilder

fn clone(&self) -> UpdateMLTransformFluentBuilder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for UpdateMLTransformFluentBuilder

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

Formats the value using the given formatter.