TrainedModelInferenceJobSummaryBuilder

aws_sdk_cleanroomsml::types::builders

Struct TrainedModelInferenceJobSummaryBuilder 

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

A builder for TrainedModelInferenceJobSummary.

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impl TrainedModelInferenceJobSummaryBuilder

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

The Amazon Resource Name (ARN) of the trained model inference job.

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

The Amazon Resource Name (ARN) of the trained model inference job.

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

The Amazon Resource Name (ARN) of the trained model inference job.

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

The Amazon Resource Name (ARN) of the configured model algorithm association that is used for the trained model inference job.

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

The Amazon Resource Name (ARN) of the configured model algorithm association that is used for the trained model inference job.

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

The Amazon Resource Name (ARN) of the configured model algorithm association that is used for the trained model inference job.

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

The membership ID of the membership that contains the trained model inference job.

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

The membership ID of the membership that contains the trained model inference job.

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

The membership ID of the membership that contains the trained model inference job.

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

The Amazon Resource Name (ARN) of the trained model that is used for the trained model inference job.

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

The Amazon Resource Name (ARN) of the trained model that is used for the trained model inference job.

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

The Amazon Resource Name (ARN) of the trained model that is used for the trained model inference job.

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

The version identifier of the trained model that was used for inference in this job.

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

The version identifier of the trained model that was used for inference in this job.

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

The version identifier of the trained model that was used for inference in this job.

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

The collaboration ID of the collaboration that contains the trained model inference job.

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

The collaboration ID of the collaboration that contains the trained model inference job.

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

The collaboration ID of the collaboration that contains the trained model inference job.

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pub fn status(self, input: TrainedModelInferenceJobStatus) -> Self

The status of the trained model inference job.

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

The status of the trained model inference job.

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pub fn get_status(&self) -> &Option<TrainedModelInferenceJobStatus>

The status of the trained model inference job.

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pub fn output_configuration(self, input: InferenceOutputConfiguration) -> Self

The output configuration information of the trained model job.

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

The output configuration information of the trained model job.

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pub fn get_output_configuration(&self) -> &Option<InferenceOutputConfiguration>

The output configuration information of the trained model job.

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

The name of the trained model inference job.

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

The name of the trained model inference job.

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

The name of the trained model inference job.

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

The description of the trained model inference job.

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

The description of the trained model inference job.

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

The description of the trained model inference job.

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pub fn metrics_status(self, input: MetricsStatus) -> Self

The metric status of the trained model inference job.

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pub fn set_metrics_status(self, input: Option<MetricsStatus>) -> Self

The metric status of the trained model inference job.

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pub fn get_metrics_status(&self) -> &Option<MetricsStatus>

The metric status of the trained model inference job.

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

Details about the metrics status for the trained model inference job.

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

Details about the metrics status for the trained model inference job.

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

Details about the metrics status for the trained model inference job.

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pub fn logs_status(self, input: LogsStatus) -> Self

The log status of the trained model inference job.

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pub fn set_logs_status(self, input: Option<LogsStatus>) -> Self

The log status of the trained model inference job.

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pub fn get_logs_status(&self) -> &Option<LogsStatus>

The log status of the trained model inference job.

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

Details about the log status for the trained model inference job.

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

Details about the log status for the trained model inference job.

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

Details about the log status for the trained model inference job.

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

The time at which the trained model inference job was created.

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

The time at which the trained model inference job was created.

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

The time at which the trained model inference job was created.

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

The most recent time at which the trained model inference job was updated.

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

The most recent time at which the trained model inference job was updated.

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

The most recent time at which the trained model inference job was updated.

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pub fn build(self) -> Result<TrainedModelInferenceJobSummary, BuildError>

Consumes the builder and constructs a TrainedModelInferenceJobSummary. This method will fail if any of the following fields are not set:

Trait Implementations§

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impl Clone for TrainedModelInferenceJobSummaryBuilder

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fn clone(&self) -> TrainedModelInferenceJobSummaryBuilder

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

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

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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 TrainedModelInferenceJobSummaryBuilder

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fn default() -> TrainedModelInferenceJobSummaryBuilder

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

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

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

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