aws_sdk_sagemaker::operation::describe_processing_job::builders

Struct DescribeProcessingJobOutputBuilder

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#[non_exhaustive]
pub struct DescribeProcessingJobOutputBuilder { /* private fields */ }
Expand description

A builder for DescribeProcessingJobOutput.

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impl DescribeProcessingJobOutputBuilder

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pub fn processing_inputs(self, input: ProcessingInput) -> Self

Appends an item to processing_inputs.

To override the contents of this collection use set_processing_inputs.

The inputs for a processing job.

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pub fn set_processing_inputs(self, input: Option<Vec<ProcessingInput>>) -> Self

The inputs for a processing job.

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pub fn get_processing_inputs(&self) -> &Option<Vec<ProcessingInput>>

The inputs for a processing job.

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pub fn processing_output_config(self, input: ProcessingOutputConfig) -> Self

Output configuration for the processing job.

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pub fn set_processing_output_config( self, input: Option<ProcessingOutputConfig>, ) -> Self

Output configuration for the processing job.

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pub fn get_processing_output_config(&self) -> &Option<ProcessingOutputConfig>

Output configuration for the processing job.

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pub fn processing_job_name(self, input: impl Into<String>) -> Self

The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.

This field is required.
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pub fn set_processing_job_name(self, input: Option<String>) -> Self

The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.

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pub fn get_processing_job_name(&self) -> &Option<String>

The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.

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pub fn processing_resources(self, input: ProcessingResources) -> Self

Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.

This field is required.
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pub fn set_processing_resources( self, input: Option<ProcessingResources>, ) -> Self

Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.

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pub fn get_processing_resources(&self) -> &Option<ProcessingResources>

Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.

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pub fn stopping_condition(self, input: ProcessingStoppingCondition) -> Self

The time limit for how long the processing job is allowed to run.

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pub fn set_stopping_condition( self, input: Option<ProcessingStoppingCondition>, ) -> Self

The time limit for how long the processing job is allowed to run.

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pub fn get_stopping_condition(&self) -> &Option<ProcessingStoppingCondition>

The time limit for how long the processing job is allowed to run.

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pub fn app_specification(self, input: AppSpecification) -> Self

Configures the processing job to run a specified container image.

This field is required.
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pub fn set_app_specification(self, input: Option<AppSpecification>) -> Self

Configures the processing job to run a specified container image.

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pub fn get_app_specification(&self) -> &Option<AppSpecification>

Configures the processing job to run a specified container image.

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pub fn environment(self, k: impl Into<String>, v: impl Into<String>) -> Self

Adds a key-value pair to environment.

To override the contents of this collection use set_environment.

The environment variables set in the Docker container.

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pub fn set_environment(self, input: Option<HashMap<String, String>>) -> Self

The environment variables set in the Docker container.

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pub fn get_environment(&self) -> &Option<HashMap<String, String>>

The environment variables set in the Docker container.

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pub fn network_config(self, input: NetworkConfig) -> Self

Networking options for a processing job.

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pub fn set_network_config(self, input: Option<NetworkConfig>) -> Self

Networking options for a processing job.

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pub fn get_network_config(&self) -> &Option<NetworkConfig>

Networking options for a processing job.

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pub fn role_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.

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pub fn set_role_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.

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pub fn get_role_arn(&self) -> &Option<String>

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.

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pub fn experiment_config(self, input: ExperimentConfig) -> Self

The configuration information used to create an experiment.

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pub fn set_experiment_config(self, input: Option<ExperimentConfig>) -> Self

The configuration information used to create an experiment.

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pub fn get_experiment_config(&self) -> &Option<ExperimentConfig>

The configuration information used to create an experiment.

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pub fn processing_job_arn(self, input: impl Into<String>) -> Self

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

This field is required.
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pub fn set_processing_job_arn(self, input: Option<String>) -> Self

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

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pub fn get_processing_job_arn(&self) -> &Option<String>

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

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pub fn processing_job_status(self, input: ProcessingJobStatus) -> Self

Provides the status of a processing job.

This field is required.
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pub fn set_processing_job_status( self, input: Option<ProcessingJobStatus>, ) -> Self

Provides the status of a processing job.

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pub fn get_processing_job_status(&self) -> &Option<ProcessingJobStatus>

Provides the status of a processing job.

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pub fn exit_message(self, input: impl Into<String>) -> Self

An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.

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pub fn set_exit_message(self, input: Option<String>) -> Self

An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.

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pub fn get_exit_message(&self) -> &Option<String>

An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.

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pub fn failure_reason(self, input: impl Into<String>) -> Self

A string, up to one KB in size, that contains the reason a processing job failed, if it failed.

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pub fn set_failure_reason(self, input: Option<String>) -> Self

A string, up to one KB in size, that contains the reason a processing job failed, if it failed.

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pub fn get_failure_reason(&self) -> &Option<String>

A string, up to one KB in size, that contains the reason a processing job failed, if it failed.

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pub fn processing_end_time(self, input: DateTime) -> Self

The time at which the processing job completed.

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pub fn set_processing_end_time(self, input: Option<DateTime>) -> Self

The time at which the processing job completed.

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pub fn get_processing_end_time(&self) -> &Option<DateTime>

The time at which the processing job completed.

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pub fn processing_start_time(self, input: DateTime) -> Self

The time at which the processing job started.

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pub fn set_processing_start_time(self, input: Option<DateTime>) -> Self

The time at which the processing job started.

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pub fn get_processing_start_time(&self) -> &Option<DateTime>

The time at which the processing job started.

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pub fn last_modified_time(self, input: DateTime) -> Self

The time at which the processing job was last modified.

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pub fn set_last_modified_time(self, input: Option<DateTime>) -> Self

The time at which the processing job was last modified.

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pub fn get_last_modified_time(&self) -> &Option<DateTime>

The time at which the processing job was last modified.

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pub fn creation_time(self, input: DateTime) -> Self

The time at which the processing job was created.

This field is required.
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pub fn set_creation_time(self, input: Option<DateTime>) -> Self

The time at which the processing job was created.

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pub fn get_creation_time(&self) -> &Option<DateTime>

The time at which the processing job was created.

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pub fn monitoring_schedule_arn(self, input: impl Into<String>) -> Self

The ARN of a monitoring schedule for an endpoint associated with this processing job.

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pub fn set_monitoring_schedule_arn(self, input: Option<String>) -> Self

The ARN of a monitoring schedule for an endpoint associated with this processing job.

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pub fn get_monitoring_schedule_arn(&self) -> &Option<String>

The ARN of a monitoring schedule for an endpoint associated with this processing job.

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pub fn auto_ml_job_arn(self, input: impl Into<String>) -> Self

The ARN of an AutoML job associated with this processing job.

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pub fn set_auto_ml_job_arn(self, input: Option<String>) -> Self

The ARN of an AutoML job associated with this processing job.

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pub fn get_auto_ml_job_arn(&self) -> &Option<String>

The ARN of an AutoML job associated with this processing job.

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pub fn training_job_arn(self, input: impl Into<String>) -> Self

The ARN of a training job associated with this processing job.

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pub fn set_training_job_arn(self, input: Option<String>) -> Self

The ARN of a training job associated with this processing job.

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pub fn get_training_job_arn(&self) -> &Option<String>

The ARN of a training job associated with this processing job.

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pub fn build(self) -> DescribeProcessingJobOutput

Consumes the builder and constructs a DescribeProcessingJobOutput.

Trait Implementations§

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impl Clone for DescribeProcessingJobOutputBuilder

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fn clone(&self) -> DescribeProcessingJobOutputBuilder

Returns a duplicate of the value. Read more
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const fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for DescribeProcessingJobOutputBuilder

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

Formats the value using the given formatter. Read more
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impl Default for DescribeProcessingJobOutputBuilder

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fn default() -> DescribeProcessingJobOutputBuilder

Returns the “default value” for a type. Read more
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impl PartialEq for DescribeProcessingJobOutputBuilder

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

Tests for self and other values to be equal, and is used by ==.
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const fn ne(&self, other: &Rhs) -> bool

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

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