Struct rusoto_glue::GetMLTransformResponse
source · [−]pub struct GetMLTransformResponse {Show 19 fields
pub created_on: Option<f64>,
pub description: Option<String>,
pub evaluation_metrics: Option<EvaluationMetrics>,
pub glue_version: Option<String>,
pub input_record_tables: Option<Vec<GlueTable>>,
pub label_count: Option<i64>,
pub last_modified_on: Option<f64>,
pub max_capacity: Option<f64>,
pub max_retries: Option<i64>,
pub name: Option<String>,
pub number_of_workers: Option<i64>,
pub parameters: Option<TransformParameters>,
pub role: Option<String>,
pub schema: Option<Vec<SchemaColumn>>,
pub status: Option<String>,
pub timeout: Option<i64>,
pub transform_encryption: Option<TransformEncryption>,
pub transform_id: Option<String>,
pub worker_type: Option<String>,
}
Fields
created_on: Option<f64>
The date and time when the transform was created.
description: Option<String>
A description of the transform.
evaluation_metrics: Option<EvaluationMetrics>
The latest evaluation metrics.
glue_version: 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.
input_record_tables: Option<Vec<GlueTable>>
A list of Glue table definitions used by the transform.
label_count: Option<i64>
The number of labels available for this transform.
last_modified_on: Option<f64>
The date and time when the transform was last modified.
max_capacity: 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.
max_retries: Option<i64>
The maximum number of times to retry a task for this transform after a task run fails.
name: Option<String>
The unique name given to the transform when it was created.
number_of_workers: Option<i64>
The number of workers of a defined workerType
that are allocated when this task runs.
parameters: Option<TransformParameters>
The configuration parameters that are specific to the algorithm used.
role: Option<String>
The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
schema: Option<Vec<SchemaColumn>>
The Map<Column, Type>
object that represents the schema that this transform accepts. Has an upper bound of 100 columns.
status: Option<String>
The last known status of the transform (to indicate whether it can be used or not). One of "NOT_READY", "READY", or "DELETING".
timeout: Option<i64>
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).
transform_encryption: Option<TransformEncryption>
The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms can access user data encrypted in Amazon S3 using KMS.
transform_id: Option<String>
The unique identifier of the transform, generated at the time that the transform was created.
worker_type: Option<String>
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.
Trait Implementations
sourceimpl Clone for GetMLTransformResponse
impl Clone for GetMLTransformResponse
sourcefn clone(&self) -> GetMLTransformResponse
fn clone(&self) -> GetMLTransformResponse
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
sourceimpl Debug for GetMLTransformResponse
impl Debug for GetMLTransformResponse
sourceimpl Default for GetMLTransformResponse
impl Default for GetMLTransformResponse
sourcefn default() -> GetMLTransformResponse
fn default() -> GetMLTransformResponse
Returns the “default value” for a type. Read more
sourceimpl<'de> Deserialize<'de> for GetMLTransformResponse
impl<'de> Deserialize<'de> for GetMLTransformResponse
sourcefn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
sourceimpl PartialEq<GetMLTransformResponse> for GetMLTransformResponse
impl PartialEq<GetMLTransformResponse> for GetMLTransformResponse
sourcefn eq(&self, other: &GetMLTransformResponse) -> bool
fn eq(&self, other: &GetMLTransformResponse) -> bool
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
sourcefn ne(&self, other: &GetMLTransformResponse) -> bool
fn ne(&self, other: &GetMLTransformResponse) -> bool
This method tests for !=
.
impl StructuralPartialEq for GetMLTransformResponse
Auto Trait Implementations
impl RefUnwindSafe for GetMLTransformResponse
impl Send for GetMLTransformResponse
impl Sync for GetMLTransformResponse
impl Unpin for GetMLTransformResponse
impl UnwindSafe for GetMLTransformResponse
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