Struct aws_sdk_bedrock::operation::create_model_customization_job::CreateModelCustomizationJobInput

#[non_exhaustive]
pub struct CreateModelCustomizationJobInput {

    pub job_name: Option<String>,
    pub custom_model_name: Option<String>,
    pub role_arn: Option<String>,
    pub client_request_token: Option<String>,
    pub base_model_identifier: Option<String>,
    pub custom_model_kms_key_id: Option<String>,
    pub job_tags: Option<Vec<Tag>>,
    pub custom_model_tags: Option<Vec<Tag>>,
    pub training_data_config: Option<TrainingDataConfig>,
    pub validation_data_config: Option<ValidationDataConfig>,
    pub output_data_config: Option<OutputDataConfig>,
    pub hyper_parameters: Option<HashMap<String, String>>,
    pub vpc_config: Option<VpcConfig>,
}

Fields (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_name: Option<String>

Enter a unique name for the fine-tuning job.

custom_model_name: Option<String>

Enter a name for the custom model.

role_arn: Option<String>

The Amazon Resource Name (ARN) of an IAM role that Bedrock can assume to perform tasks on your behalf. For example, during model training, Bedrock needs your permission to read input data from an S3 bucket, write model artifacts to an S3 bucket. To pass this role to Bedrock, the caller of this API must have the iam:PassRole permission.

client_request_token: Option<String>

Unique token value that you can provide. The GetModelCustomizationJob response includes the same token value.

base_model_identifier: Option<String>

Name of the base model.

custom_model_kms_key_id: Option<String>

The custom model is encrypted at rest using this key.

job_tags: Option<Vec<Tag>>

Assign tags to the job.

custom_model_tags: Option<Vec<Tag>>

Assign tags to the custom model.

training_data_config: Option<TrainingDataConfig>

Information about the training dataset.

validation_data_config: Option<ValidationDataConfig>

Information about the validation dataset.

output_data_config: Option<OutputDataConfig>

S3 location for the output data.

hyper_parameters: Option<HashMap<String, String>>

Parameters related to tuning the model.

vpc_config: Option<VpcConfig>

VPC configuration (optional). Configuration parameters for the private Virtual Private Cloud (VPC) that contains the resources you are using for this job.

Implementations

impl CreateModelCustomizationJobInput

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

Enter a unique name for the fine-tuning job.

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

Enter a name for the custom model.

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

The Amazon Resource Name (ARN) of an IAM role that Bedrock can assume to perform tasks on your behalf. For example, during model training, Bedrock needs your permission to read input data from an S3 bucket, write model artifacts to an S3 bucket. To pass this role to Bedrock, the caller of this API must have the iam:PassRole permission.

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

Unique token value that you can provide. The GetModelCustomizationJob response includes the same token value.

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

Name of the base model.

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

The custom model is encrypted at rest using this key.

pub fn job_tags(&self) -> &[Tag]

Assign tags to the job.

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

pub fn custom_model_tags(&self) -> &[Tag]

Assign tags to the custom model.

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

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

Information about the training dataset.

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

Information about the validation dataset.

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

S3 location for the output data.

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

Parameters related to tuning the model.

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

VPC configuration (optional). Configuration parameters for the private Virtual Private Cloud (VPC) that contains the resources you are using for this job.

impl CreateModelCustomizationJobInput

pub fn builder() -> CreateModelCustomizationJobInputBuilder

Creates a new builder-style object to manufacture CreateModelCustomizationJobInput.

Trait Implementations

impl Clone for CreateModelCustomizationJobInput

fn clone(&self) -> CreateModelCustomizationJobInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateModelCustomizationJobInput

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

Formats the value using the given formatter.

impl PartialEq for CreateModelCustomizationJobInput

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