You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: _describe_transform_job_output.rs
    path of file: ./repos/aws-sdk-rust/sdk/sagemaker/src/operation/describe_transform_job
    
    the code of the file until where you have to start completion: // Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
#[allow(missing_docs)] // documentation missing in model
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::fmt::Debug)]
pub struct DescribeTransformJobOutput {
    /// <p>The name of the transform job.</p>
    pub transform_job_name: ::std::option::Option<::std::string::String>,
    /// <p>The Amazon Resource Name (ARN) of the transform job.</p>
    pub transform_job_arn: ::std::option::Option<::std::string::String>,
    /// <p>The status of the transform 
    
    pub fn build(self) -> crate::operation::describe_transform_job::DescribeTransformJobOutput {
        crate::operation::describe_transform_job::DescribeTransformJobOutput {
            transform_job_name: self.transform_job_name,
            transform_job_arn: self.transform_job_arn,
            transform_job_status: self.transform_job_status,
            failure_reason: self.failure_reason,
            model_name: self.model_name,
            max_concurrent_transforms: self.max_concurrent_transforms,
            model_client_config: self.model_client_config,
            max_payload_in_mb: self.max_payload_in_mb,
            batch_strategy: self.batch_strategy,
            environment: self.environment,
            transform_input: self.transform_input,
            transform_output: self.transform_output,
            data_capture_config: self.data_capture_config,
            transform_resources: self.transform_resources,
            creation_time: self.creation_time,
            transform_start_time: self.transform_start_time,
            transform_end_time: self.transform_end_time,
            labeling_job_arn: self.labeling_job_arn,
            auto_ml_job_arn: self.auto_ml_job_arn,
            data_processing: self.data_processing,
            experiment_config: self.experiment_config,
            _request_id: self._request_id,
        }
    }