Struct rusoto_sagemaker::DescribeTransformJobResponse

pub struct DescribeTransformJobResponse {
    pub batch_strategy: Option<String>,
    pub creation_time: f64,
    pub environment: Option<HashMap<String, String>>,
    pub failure_reason: Option<String>,
    pub labeling_job_arn: Option<String>,
    pub max_concurrent_transforms: Option<i64>,
    pub max_payload_in_mb: Option<i64>,
    pub model_name: String,
    pub transform_end_time: Option<f64>,
    pub transform_input: TransformInput,
    pub transform_job_arn: String,
    pub transform_job_name: String,
    pub transform_job_status: String,
    pub transform_output: Option<TransformOutput>,
    pub transform_resources: TransformResources,
    pub transform_start_time: Option<f64>,
}

Fields

batch_strategy: Option<String>

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.

creation_time: f64

A timestamp that shows when the transform Job was created.

environment: 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.

failure_reason: 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.

labeling_job_arn: Option<String>

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

max_concurrent_transforms: Option<i64>

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

max_payload_in_mb: Option<i64>

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

model_name: String

The name of the model used in the transform job.

transform_end_time: Option<f64>

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.

transform_input: TransformInput

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

transform_job_arn: String

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

transform_job_name: String

The name of the transform job.

transform_job_status: String

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

transform_output: Option<TransformOutput>

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

transform_resources: TransformResources

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

transform_start_time: Option<f64>

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

Trait Implementations

impl PartialEq<DescribeTransformJobResponse> for DescribeTransformJobResponse

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

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

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

This method tests for !=.

impl Default for DescribeTransformJobResponse

fn default() -> DescribeTransformJobResponse

Returns the "default value" for a type.

impl Clone for DescribeTransformJobResponse

fn clone(&self) -> DescribeTransformJobResponse

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DescribeTransformJobResponse

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for DescribeTransformJobResponse

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

Deserialize this value from the given Serde deserializer.