Struct DescribeTransformJobResponse

pub struct DescribeTransformJobResponse {

    pub auto_ml_job_arn: Option<String>,
    pub batch_strategy: Option<String>,
    pub creation_time: f64,
    pub data_processing: Option<DataProcessing>,
    pub environment: Option<HashMap<String, String>>,
    pub experiment_config: Option<ExperimentConfig>,
    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_client_config: Option<ModelClientConfig>,
    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

auto_ml_job_arn: Option<String>

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

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.

data_processing: Option<DataProcessing>

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.

experiment_config: Option<ExperimentConfig>

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_client_config: Option<ModelClientConfig>

The timeout and maximum number of retries for processing a transform job invocation.

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 Clone for DescribeTransformJobResponse

fn clone(&self) -> DescribeTransformJobResponse

Returns a duplicate 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 Default for DescribeTransformJobResponse

fn default() -> DescribeTransformJobResponse

Returns the “default value” for a type.

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.

impl PartialEq for DescribeTransformJobResponse

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for DescribeTransformJobResponse