Struct rusoto_glue::GetMLTransformResponse

pub struct GetMLTransformResponse {

    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

impl Clone for GetMLTransformResponse

fn clone(&self) -> GetMLTransformResponse

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for GetMLTransformResponse

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

Formats the value using the given formatter.

impl Default for GetMLTransformResponse

fn default() -> GetMLTransformResponse

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for GetMLTransformResponse

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl PartialEq<GetMLTransformResponse> for GetMLTransformResponse

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

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &GetMLTransformResponse) -> bool

This method tests for !=.

impl StructuralPartialEq for GetMLTransformResponse