Struct aws_sdk_bedrock::operation::create_model_customization_job::builders::CreateModelCustomizationJobFluentBuilder
source · pub struct CreateModelCustomizationJobFluentBuilder { /* private fields */ }
Expand description
Fluent builder constructing a request to CreateModelCustomizationJob
.
Creates a fine-tuning job to customize a base model.
You specify the base foundation model and the location of the training data. After the model-customization job completes successfully, your custom model resource will be ready to use. Amazon Bedrock returns validation loss metrics and output generations after the job completes.
For information on the format of training and validation data, see Prepare the datasets.
Model-customization jobs are asynchronous and the completion time depends on the base model and the training/validation data size. To monitor a job, use the GetModelCustomizationJob
operation to retrieve the job status.
For more information, see Custom models in the Amazon Bedrock User Guide.
Implementations§
source§impl CreateModelCustomizationJobFluentBuilder
impl CreateModelCustomizationJobFluentBuilder
sourcepub fn as_input(&self) -> &CreateModelCustomizationJobInputBuilder
pub fn as_input(&self) -> &CreateModelCustomizationJobInputBuilder
Access the CreateModelCustomizationJob as a reference.
sourcepub async fn send(
self
) -> Result<CreateModelCustomizationJobOutput, SdkError<CreateModelCustomizationJobError, HttpResponse>>
pub async fn send( self ) -> Result<CreateModelCustomizationJobOutput, SdkError<CreateModelCustomizationJobError, HttpResponse>>
Sends the request and returns the response.
If an error occurs, an SdkError
will be returned with additional details that
can be matched against.
By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.
sourcepub fn customize(
self
) -> CustomizableOperation<CreateModelCustomizationJobOutput, CreateModelCustomizationJobError, Self>
pub fn customize( self ) -> CustomizableOperation<CreateModelCustomizationJobOutput, CreateModelCustomizationJobError, Self>
Consumes this builder, creating a customizable operation that can be modified before being sent.
sourcepub fn set_job_name(self, input: Option<String>) -> Self
pub fn set_job_name(self, input: Option<String>) -> Self
A name for the fine-tuning job.
sourcepub fn get_job_name(&self) -> &Option<String>
pub fn get_job_name(&self) -> &Option<String>
A name for the fine-tuning job.
sourcepub fn custom_model_name(self, input: impl Into<String>) -> Self
pub fn custom_model_name(self, input: impl Into<String>) -> Self
A name for the resulting custom model.
sourcepub fn set_custom_model_name(self, input: Option<String>) -> Self
pub fn set_custom_model_name(self, input: Option<String>) -> Self
A name for the resulting custom model.
sourcepub fn get_custom_model_name(&self) -> &Option<String>
pub fn get_custom_model_name(&self) -> &Option<String>
A name for the resulting custom model.
sourcepub fn role_arn(self, input: impl Into<String>) -> Self
pub fn role_arn(self, input: impl Into<String>) -> Self
The Amazon Resource Name (ARN) of an IAM service role that Amazon Bedrock can assume to perform tasks on your behalf. For example, during model training, Amazon Bedrock needs your permission to read input data from an S3 bucket, write model artifacts to an S3 bucket. To pass this role to Amazon Bedrock, the caller of this API must have the iam:PassRole
permission.
sourcepub fn set_role_arn(self, input: Option<String>) -> Self
pub fn set_role_arn(self, input: Option<String>) -> Self
The Amazon Resource Name (ARN) of an IAM service role that Amazon Bedrock can assume to perform tasks on your behalf. For example, during model training, Amazon Bedrock needs your permission to read input data from an S3 bucket, write model artifacts to an S3 bucket. To pass this role to Amazon Bedrock, the caller of this API must have the iam:PassRole
permission.
sourcepub fn get_role_arn(&self) -> &Option<String>
pub fn get_role_arn(&self) -> &Option<String>
The Amazon Resource Name (ARN) of an IAM service role that Amazon Bedrock can assume to perform tasks on your behalf. For example, during model training, Amazon Bedrock needs your permission to read input data from an S3 bucket, write model artifacts to an S3 bucket. To pass this role to Amazon Bedrock, the caller of this API must have the iam:PassRole
permission.
sourcepub fn client_request_token(self, input: impl Into<String>) -> Self
pub fn client_request_token(self, input: impl Into<String>) -> Self
A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.
sourcepub fn set_client_request_token(self, input: Option<String>) -> Self
pub fn set_client_request_token(self, input: Option<String>) -> Self
A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.
sourcepub fn get_client_request_token(&self) -> &Option<String>
pub fn get_client_request_token(&self) -> &Option<String>
A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.
sourcepub fn base_model_identifier(self, input: impl Into<String>) -> Self
pub fn base_model_identifier(self, input: impl Into<String>) -> Self
Name of the base model.
sourcepub fn set_base_model_identifier(self, input: Option<String>) -> Self
pub fn set_base_model_identifier(self, input: Option<String>) -> Self
Name of the base model.
sourcepub fn get_base_model_identifier(&self) -> &Option<String>
pub fn get_base_model_identifier(&self) -> &Option<String>
Name of the base model.
sourcepub fn customization_type(self, input: CustomizationType) -> Self
pub fn customization_type(self, input: CustomizationType) -> Self
The customization type.
sourcepub fn set_customization_type(self, input: Option<CustomizationType>) -> Self
pub fn set_customization_type(self, input: Option<CustomizationType>) -> Self
The customization type.
sourcepub fn get_customization_type(&self) -> &Option<CustomizationType>
pub fn get_customization_type(&self) -> &Option<CustomizationType>
The customization type.
sourcepub fn custom_model_kms_key_id(self, input: impl Into<String>) -> Self
pub fn custom_model_kms_key_id(self, input: impl Into<String>) -> Self
The custom model is encrypted at rest using this key.
sourcepub fn set_custom_model_kms_key_id(self, input: Option<String>) -> Self
pub fn set_custom_model_kms_key_id(self, input: Option<String>) -> Self
The custom model is encrypted at rest using this key.
sourcepub fn get_custom_model_kms_key_id(&self) -> &Option<String>
pub fn get_custom_model_kms_key_id(&self) -> &Option<String>
The custom model is encrypted at rest using this key.
Appends an item to jobTags
.
To override the contents of this collection use set_job_tags
.
Tags to attach to the job.
Tags to attach to the job.
Tags to attach to the job.
Appends an item to customModelTags
.
To override the contents of this collection use set_custom_model_tags
.
Tags to attach to the resulting custom model.
Tags to attach to the resulting custom model.
Tags to attach to the resulting custom model.
sourcepub fn training_data_config(self, input: TrainingDataConfig) -> Self
pub fn training_data_config(self, input: TrainingDataConfig) -> Self
Information about the training dataset.
sourcepub fn set_training_data_config(self, input: Option<TrainingDataConfig>) -> Self
pub fn set_training_data_config(self, input: Option<TrainingDataConfig>) -> Self
Information about the training dataset.
sourcepub fn get_training_data_config(&self) -> &Option<TrainingDataConfig>
pub fn get_training_data_config(&self) -> &Option<TrainingDataConfig>
Information about the training dataset.
sourcepub fn validation_data_config(self, input: ValidationDataConfig) -> Self
pub fn validation_data_config(self, input: ValidationDataConfig) -> Self
Information about the validation dataset.
sourcepub fn set_validation_data_config(
self,
input: Option<ValidationDataConfig>
) -> Self
pub fn set_validation_data_config( self, input: Option<ValidationDataConfig> ) -> Self
Information about the validation dataset.
sourcepub fn get_validation_data_config(&self) -> &Option<ValidationDataConfig>
pub fn get_validation_data_config(&self) -> &Option<ValidationDataConfig>
Information about the validation dataset.
sourcepub fn output_data_config(self, input: OutputDataConfig) -> Self
pub fn output_data_config(self, input: OutputDataConfig) -> Self
S3 location for the output data.
sourcepub fn set_output_data_config(self, input: Option<OutputDataConfig>) -> Self
pub fn set_output_data_config(self, input: Option<OutputDataConfig>) -> Self
S3 location for the output data.
sourcepub fn get_output_data_config(&self) -> &Option<OutputDataConfig>
pub fn get_output_data_config(&self) -> &Option<OutputDataConfig>
S3 location for the output data.
sourcepub fn hyper_parameters(
self,
k: impl Into<String>,
v: impl Into<String>
) -> Self
pub fn hyper_parameters( self, k: impl Into<String>, v: impl Into<String> ) -> Self
Adds a key-value pair to hyperParameters
.
To override the contents of this collection use set_hyper_parameters
.
Parameters related to tuning the model. For details on the format for different models, see Custom model hyperparameters.
sourcepub fn set_hyper_parameters(
self,
input: Option<HashMap<String, String>>
) -> Self
pub fn set_hyper_parameters( self, input: Option<HashMap<String, String>> ) -> Self
Parameters related to tuning the model. For details on the format for different models, see Custom model hyperparameters.
sourcepub fn get_hyper_parameters(&self) -> &Option<HashMap<String, String>>
pub fn get_hyper_parameters(&self) -> &Option<HashMap<String, String>>
Parameters related to tuning the model. For details on the format for different models, see Custom model hyperparameters.
sourcepub fn vpc_config(self, input: VpcConfig) -> Self
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.
sourcepub fn set_vpc_config(self, input: Option<VpcConfig>) -> Self
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.
sourcepub fn get_vpc_config(&self) -> &Option<VpcConfig>
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.
Trait Implementations§
source§impl Clone for CreateModelCustomizationJobFluentBuilder
impl Clone for CreateModelCustomizationJobFluentBuilder
source§fn clone(&self) -> CreateModelCustomizationJobFluentBuilder
fn clone(&self) -> CreateModelCustomizationJobFluentBuilder
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moreAuto Trait Implementations§
impl Freeze for CreateModelCustomizationJobFluentBuilder
impl !RefUnwindSafe for CreateModelCustomizationJobFluentBuilder
impl Send for CreateModelCustomizationJobFluentBuilder
impl Sync for CreateModelCustomizationJobFluentBuilder
impl Unpin for CreateModelCustomizationJobFluentBuilder
impl !UnwindSafe for CreateModelCustomizationJobFluentBuilder
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T: ?Sized,
impl<T> BorrowMut<T> for Twhere
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impl<T> Instrument for T
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fn instrument(self, span: Span) -> Instrumented<Self>
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fn in_current_span(self) -> Instrumented<Self>
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into a Left
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.
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