GetModelCustomizationJobOutput

Struct GetModelCustomizationJobOutput 

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#[non_exhaustive]
pub struct GetModelCustomizationJobOutput {
Show 23 fields pub job_arn: String, pub job_name: String, pub output_model_name: String, pub output_model_arn: Option<String>, pub client_request_token: Option<String>, pub role_arn: String, pub status: Option<ModelCustomizationJobStatus>, pub status_details: Option<StatusDetails>, pub failure_message: Option<String>, pub creation_time: DateTime, pub last_modified_time: Option<DateTime>, pub end_time: Option<DateTime>, pub base_model_arn: String, pub hyper_parameters: Option<HashMap<String, String>>, pub training_data_config: Option<TrainingDataConfig>, pub validation_data_config: Option<ValidationDataConfig>, pub output_data_config: Option<OutputDataConfig>, pub customization_type: Option<CustomizationType>, pub output_model_kms_key_arn: Option<String>, pub training_metrics: Option<TrainingMetrics>, pub validation_metrics: Option<Vec<ValidatorMetric>>, pub vpc_config: Option<VpcConfig>, pub customization_config: Option<CustomizationConfig>, /* private fields */
}

Fields (Non-exhaustive)§

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
§job_arn: String

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

§job_name: String

The name of the customization job.

§output_model_name: String

The name of the output model.

§output_model_arn: Option<String>

The Amazon Resource Name (ARN) of the output model.

§client_request_token: Option<String>

The token that you specified in the CreateCustomizationJob request.

§role_arn: String

The Amazon Resource Name (ARN) of the IAM role.

§status: Option<ModelCustomizationJobStatus>

The status of the job. A successful job transitions from in-progress to completed when the output model is ready to use. If the job failed, the failure message contains information about why the job failed.

§status_details: Option<StatusDetails>

For a Distillation job, the details about the statuses of the sub-tasks of the customization job.

§failure_message: Option<String>

Information about why the job failed.

§creation_time: DateTime

Time that the resource was created.

§last_modified_time: Option<DateTime>

Time that the resource was last modified.

§end_time: Option<DateTime>

Time that the resource transitioned to terminal state.

§base_model_arn: String

Amazon Resource Name (ARN) of the base model.

§hyper_parameters: Option<HashMap<String, String>>

The hyperparameter values for the job. For details on the format for different models, see Custom model hyperparameters.

§training_data_config: Option<TrainingDataConfig>

Contains information about the training dataset.

§validation_data_config: Option<ValidationDataConfig>

Contains information about the validation dataset.

§output_data_config: Option<OutputDataConfig>

Output data configuration

§customization_type: Option<CustomizationType>

The type of model customization.

§output_model_kms_key_arn: Option<String>

The custom model is encrypted at rest using this key.

§training_metrics: Option<TrainingMetrics>

Contains training metrics from the job creation.

§validation_metrics: Option<Vec<ValidatorMetric>>

The loss metric for each validator that you provided in the createjob request.

§vpc_config: Option<VpcConfig>

VPC configuration for the custom model job.

§customization_config: Option<CustomizationConfig>

The customization configuration for the model customization job.

Implementations§

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impl GetModelCustomizationJobOutput

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pub fn job_arn(&self) -> &str

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

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pub fn job_name(&self) -> &str

The name of the customization job.

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pub fn output_model_name(&self) -> &str

The name of the output model.

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pub fn output_model_arn(&self) -> Option<&str>

The Amazon Resource Name (ARN) of the output model.

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pub fn client_request_token(&self) -> Option<&str>

The token that you specified in the CreateCustomizationJob request.

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pub fn role_arn(&self) -> &str

The Amazon Resource Name (ARN) of the IAM role.

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pub fn status(&self) -> Option<&ModelCustomizationJobStatus>

The status of the job. A successful job transitions from in-progress to completed when the output model is ready to use. If the job failed, the failure message contains information about why the job failed.

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pub fn status_details(&self) -> Option<&StatusDetails>

For a Distillation job, the details about the statuses of the sub-tasks of the customization job.

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pub fn failure_message(&self) -> Option<&str>

Information about why the job failed.

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pub fn creation_time(&self) -> &DateTime

Time that the resource was created.

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

Time that the resource was last modified.

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

Time that the resource transitioned to terminal state.

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pub fn base_model_arn(&self) -> &str

Amazon Resource Name (ARN) of the base model.

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

The hyperparameter values for the job. For details on the format for different models, see Custom model hyperparameters.

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pub fn training_data_config(&self) -> Option<&TrainingDataConfig>

Contains information about the training dataset.

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pub fn validation_data_config(&self) -> Option<&ValidationDataConfig>

Contains information about the validation dataset.

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pub fn output_data_config(&self) -> Option<&OutputDataConfig>

Output data configuration

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pub fn customization_type(&self) -> Option<&CustomizationType>

The type of model customization.

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pub fn output_model_kms_key_arn(&self) -> Option<&str>

The custom model is encrypted at rest using this key.

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pub fn training_metrics(&self) -> Option<&TrainingMetrics>

Contains training metrics from the job creation.

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pub fn validation_metrics(&self) -> &[ValidatorMetric]

The loss metric for each validator that you provided in the createjob request.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .validation_metrics.is_none().

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pub fn vpc_config(&self) -> Option<&VpcConfig>

VPC configuration for the custom model job.

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pub fn customization_config(&self) -> Option<&CustomizationConfig>

The customization configuration for the model customization job.

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impl GetModelCustomizationJobOutput

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pub fn builder() -> GetModelCustomizationJobOutputBuilder

Creates a new builder-style object to manufacture GetModelCustomizationJobOutput.

Trait Implementations§

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impl Clone for GetModelCustomizationJobOutput

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fn clone(&self) -> GetModelCustomizationJobOutput

Returns a duplicate of the value. Read more
1.0.0 · Source§

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

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

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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 PartialEq for GetModelCustomizationJobOutput

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fn eq(&self, other: &GetModelCustomizationJobOutput) -> 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 RequestId for GetModelCustomizationJobOutput

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fn request_id(&self) -> Option<&str>

Returns the request ID, or None if the service could not be reached.
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impl StructuralPartialEq for GetModelCustomizationJobOutput

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