aws_sdk_bedrock::operation::get_custom_model

Struct GetCustomModelOutput

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#[non_exhaustive]
pub struct GetCustomModelOutput {
Show 17 fields
    pub model_arn: String,
    pub model_name: String,
    pub job_name: Option<String>,
    pub job_arn: Option<String>,
    pub base_model_arn: Option<String>,
    pub customization_type: Option<CustomizationType>,
    pub model_kms_key_arn: Option<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 training_metrics: Option<TrainingMetrics>,
    pub validation_metrics: Option<Vec<ValidatorMetric>>,
    pub creation_time: DateTime,
    pub customization_config: Option<CustomizationConfig>,
    pub model_status: Option<ModelStatus>,
    pub failure_message: Option<String>,
    /* 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.
§model_arn: String

Amazon Resource Name (ARN) associated with this model.

§model_name: String

Model name associated with this model.

§job_name: Option<String>

Job name associated with this model.

§job_arn: Option<String>

Job Amazon Resource Name (ARN) associated with this model. For models that you create with the CreateCustomModel API operation, this is NULL.

§base_model_arn: Option<String>

Amazon Resource Name (ARN) of the base model.

§customization_type: Option<CustomizationType>

The type of model customization.

§model_kms_key_arn: Option<String>

The custom model is encrypted at rest using this key.

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

Hyperparameter values associated with this model. 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 associated with this custom model.

§training_metrics: Option<TrainingMetrics>

Contains training metrics from the job creation.

§validation_metrics: Option<Vec<ValidatorMetric>>

The validation metrics from the job creation.

§creation_time: DateTime

Creation time of the model.

§customization_config: Option<CustomizationConfig>

The customization configuration for the custom model.

§model_status: Option<ModelStatus>

The current status of the custom model. Possible values include:

  • Creating - The model is being created and validated.

  • Active - The model has been successfully created and is ready for use.

  • Failed - The model creation process failed. Check the failureMessage field for details.

§failure_message: Option<String>

A failure message for any issues that occurred when creating the custom model. This is included for only a failed CreateCustomModel operation.

Implementations§

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impl GetCustomModelOutput

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pub fn model_arn(&self) -> &str

Amazon Resource Name (ARN) associated with this model.

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pub fn model_name(&self) -> &str

Model name associated with this model.

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

Job name associated with this model.

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

Job Amazon Resource Name (ARN) associated with this model. For models that you create with the CreateCustomModel API operation, this is NULL.

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

Amazon Resource Name (ARN) of the base model.

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

The type of model customization.

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

The custom model is encrypted at rest using this key.

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

Hyperparameter values associated with this model. 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 associated with this custom model.

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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 validation metrics from the job creation.

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 creation_time(&self) -> &DateTime

Creation time of the model.

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

The customization configuration for the custom model.

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pub fn model_status(&self) -> Option<&ModelStatus>

The current status of the custom model. Possible values include:

  • Creating - The model is being created and validated.

  • Active - The model has been successfully created and is ready for use.

  • Failed - The model creation process failed. Check the failureMessage field for details.

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

A failure message for any issues that occurred when creating the custom model. This is included for only a failed CreateCustomModel operation.

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impl GetCustomModelOutput

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pub fn builder() -> GetCustomModelOutputBuilder

Creates a new builder-style object to manufacture GetCustomModelOutput.

Trait Implementations§

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impl Clone for GetCustomModelOutput

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fn clone(&self) -> GetCustomModelOutput

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 GetCustomModelOutput

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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 GetCustomModelOutput

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fn eq(&self, other: &GetCustomModelOutput) -> 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 GetCustomModelOutput

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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 GetCustomModelOutput

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