Struct aws_sdk_glue::client::fluent_builders::UpdateMLTransform
source · [−]pub struct UpdateMLTransform { /* private fields */ }
Expand description
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
sourceimpl UpdateMLTransform
impl UpdateMLTransform
sourcepub async fn send(
self
) -> Result<UpdateMlTransformOutput, SdkError<UpdateMLTransformError>>
pub async fn send(
self
) -> Result<UpdateMlTransformOutput, SdkError<UpdateMLTransformError>>
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.
sourcepub fn transform_id(self, input: impl Into<String>) -> Self
pub fn transform_id(self, input: impl Into<String>) -> Self
A unique identifier that was generated when the transform was created.
sourcepub fn set_transform_id(self, input: Option<String>) -> Self
pub fn set_transform_id(self, input: Option<String>) -> Self
A unique identifier that was generated when the transform was created.
sourcepub fn name(self, input: impl Into<String>) -> Self
pub fn name(self, input: impl Into<String>) -> Self
The unique name that you gave the transform when you created it.
sourcepub fn set_name(self, input: Option<String>) -> Self
pub fn set_name(self, input: Option<String>) -> Self
The unique name that you gave the transform when you created it.
sourcepub fn description(self, input: impl Into<String>) -> Self
pub fn description(self, input: impl Into<String>) -> Self
A description of the transform. The default is an empty string.
sourcepub fn set_description(self, input: Option<String>) -> Self
pub fn set_description(self, input: Option<String>) -> Self
A description of the transform. The default is an empty string.
sourcepub fn parameters(self, input: TransformParameters) -> Self
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.
sourcepub fn set_parameters(self, input: Option<TransformParameters>) -> Self
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.
sourcepub fn role(self, input: impl Into<String>) -> Self
pub fn role(self, input: impl Into<String>) -> Self
The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
sourcepub fn set_role(self, input: Option<String>) -> Self
pub fn set_role(self, input: Option<String>) -> Self
The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
sourcepub fn glue_version(self, input: impl Into<String>) -> Self
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.
sourcepub fn set_glue_version(self, input: Option<String>) -> Self
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.
sourcepub fn max_capacity(self, input: f64) -> Self
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.
sourcepub fn set_max_capacity(self, input: Option<f64>) -> Self
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.
sourcepub fn worker_type(self, input: WorkerType) -> Self
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.
sourcepub fn set_worker_type(self, input: Option<WorkerType>) -> Self
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.
sourcepub fn number_of_workers(self, input: i32) -> Self
pub fn number_of_workers(self, input: i32) -> Self
The number of workers of a defined workerType
that are allocated when this task runs.
sourcepub fn set_number_of_workers(self, input: Option<i32>) -> Self
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.
sourcepub fn timeout(self, input: i32) -> Self
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).
sourcepub fn set_timeout(self, input: Option<i32>) -> Self
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).
sourcepub fn max_retries(self, input: i32) -> Self
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.
sourcepub fn set_max_retries(self, input: Option<i32>) -> Self
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.
Trait Implementations
sourceimpl Clone for UpdateMLTransform
impl Clone for UpdateMLTransform
sourcefn clone(&self) -> UpdateMLTransform
fn clone(&self) -> UpdateMLTransform
Returns a copy of the value. Read more
1.0.0 · sourcefn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source
. Read more
Auto Trait Implementations
impl !RefUnwindSafe for UpdateMLTransform
impl Send for UpdateMLTransform
impl Sync for UpdateMLTransform
impl Unpin for UpdateMLTransform
impl !UnwindSafe for UpdateMLTransform
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceimpl<T> Instrument for T
impl<T> Instrument for T
sourcefn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
sourcefn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
sourceimpl<T> ToOwned for T where
T: Clone,
impl<T> ToOwned for T where
T: Clone,
type Owned = T
type Owned = T
The resulting type after obtaining ownership.
sourcefn clone_into(&self, target: &mut T)
fn clone_into(&self, target: &mut T)
toowned_clone_into
)Uses borrowed data to replace owned data, usually by cloning. Read more
sourceimpl<T> WithSubscriber for T
impl<T> WithSubscriber for T
sourcefn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
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
sourcefn with_current_subscriber(self) -> WithDispatch<Self>
fn with_current_subscriber(self) -> WithDispatch<Self>
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more