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

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

Enter a unique name for the fine-tuning job.

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

Enter a unique name for the fine-tuning job.

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

Enter a unique name for the fine-tuning job.

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

Enter a name for the custom model.

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

Enter a name for the custom model.

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

Enter a name for the custom model.

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

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.

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

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.

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pub fn get_role_arn(&self) -> &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.

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

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

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

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

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

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

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

Name of the base model.

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

Name of the base model.

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

Name of the base model.

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

The custom model is encrypted at rest using this key.

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

The custom model is encrypted at rest using this key.

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

The custom model is encrypted at rest using this key.

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pub fn job_tags(self, input: Tag) -> Self

Appends an item to job_tags.

To override the contents of this collection use set_job_tags.

Assign tags to the job.

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pub fn set_job_tags(self, input: Option<Vec<Tag>>) -> Self

Assign tags to the job.

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pub fn get_job_tags(&self) -> &Option<Vec<Tag>>

Assign tags to the job.

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pub fn custom_model_tags(self, input: Tag) -> Self

Appends an item to custom_model_tags.

To override the contents of this collection use set_custom_model_tags.

Assign tags to the custom model.

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pub fn set_custom_model_tags(self, input: Option<Vec<Tag>>) -> Self

Assign tags to the custom model.

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pub fn get_custom_model_tags(&self) -> &Option<Vec<Tag>>

Assign tags to the custom model.

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

Information about the training dataset.

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

Information about the training dataset.

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

Information about the training dataset.

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

Information about the validation dataset.

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

Information about the validation dataset.

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

Information about the validation dataset.

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

S3 location for the output data.

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

S3 location for the output data.

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

S3 location for the output data.

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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.

Parameters related to tuning the model.

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

Parameters related to tuning the model.

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

Parameters related to tuning the model.

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pub fn vpc_config(self, input: VpcConfig) -> Self

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

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pub fn set_vpc_config(self, input: Option<VpcConfig>) -> Self

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

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pub fn get_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.

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

Consumes the builder and constructs a CreateModelCustomizationJobInput.

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impl CreateModelCustomizationJobInputBuilder

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pub async fn send_with( self, client: &Client ) -> Result<CreateModelCustomizationJobOutput, SdkError<CreateModelCustomizationJobError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations§

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impl Clone for CreateModelCustomizationJobInputBuilder

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fn clone(&self) -> CreateModelCustomizationJobInputBuilder

Returns a copy 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 CreateModelCustomizationJobInputBuilder

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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 CreateModelCustomizationJobInputBuilder

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fn default() -> CreateModelCustomizationJobInputBuilder

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

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

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

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