Struct aws_sdk_bedrock::operation::get_custom_model::builders::GetCustomModelOutputBuilder

#[non_exhaustive]
pub struct GetCustomModelOutputBuilder { /* private fields */ }

A builder for GetCustomModelOutput.

Implementations

impl GetCustomModelOutputBuilder

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

ARN associated with this model.

This field is required.

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

ARN associated with this model.

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

ARN associated with this model.

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

Model name associated with this model.

This field is required.

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

Model name associated with this model.

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

Model name associated with this model.

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

Job name associated with this model.

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

Job name associated with this model.

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

Job name associated with this model.

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

Job ARN associated with this model.

This field is required.

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

Job ARN associated with this model.

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

Job ARN associated with this model.

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

ARN of the base model.

This field is required.

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

ARN of the base model.

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

ARN of the base model.

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

The custom model is encrypted at rest using this key.

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

The custom model is encrypted at rest using this key.

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

The custom model is encrypted at rest using this key.

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

Adds a key-value pair to hyper_parameters.

To override the contents of this collection use set_hyper_parameters.

Hyperparameter values associated with this model.

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

Hyperparameter values associated with this model.

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

Hyperparameter values associated with this model.

pub fn training_data_config(self, input: TrainingDataConfig) -> Self

Information about the training dataset.

This field is required.

pub fn set_training_data_config(self, input: Option<TrainingDataConfig>) -> Self

Information about the training dataset.

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

Information about the training dataset.

pub fn validation_data_config(self, input: ValidationDataConfig) -> Self

Array of up to 10 validators.

pub fn set_validation_data_config( self, input: Option<ValidationDataConfig> ) -> Self

Array of up to 10 validators.

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

Array of up to 10 validators.

pub fn output_data_config(self, input: OutputDataConfig) -> Self

Output data configuration associated with this custom model.

This field is required.

pub fn set_output_data_config(self, input: Option<OutputDataConfig>) -> Self

Output data configuration associated with this custom model.

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

Output data configuration associated with this custom model.

pub fn training_metrics(self, input: TrainingMetrics) -> Self

The training metrics from the job creation.

pub fn set_training_metrics(self, input: Option<TrainingMetrics>) -> Self

The training metrics from the job creation.

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

The training metrics from the job creation.

pub fn validation_metrics(self, input: ValidatorMetric) -> Self

Appends an item to validation_metrics.

To override the contents of this collection use set_validation_metrics.

The validation metrics from the job creation.

pub fn set_validation_metrics(self, input: Option<Vec<ValidatorMetric>>) -> Self

The validation metrics from the job creation.

pub fn get_validation_metrics(&self) -> &Option<Vec<ValidatorMetric>>

The validation metrics from the job creation.

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

Creation time of the model.

This field is required.

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

Creation time of the model.

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

Creation time of the model.

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

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

• model_arn
• model_name
• job_arn
• base_model_arn
• creation_time

Trait Implementations

impl Clone for GetCustomModelOutputBuilder

fn clone(&self) -> GetCustomModelOutputBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for GetCustomModelOutputBuilder

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

Formats the value using the given formatter.

impl Default for GetCustomModelOutputBuilder

fn default() -> GetCustomModelOutputBuilder

Returns the “default value” for a type.

impl PartialEq for GetCustomModelOutputBuilder

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

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for GetCustomModelOutputBuilder