Struct CreateProjectVersionFluentBuilder

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pub struct CreateProjectVersionFluentBuilder { /* private fields */ }
Expand description

Fluent builder constructing a request to CreateProjectVersion.

Creates a new version of Amazon Rekognition project (like a Custom Labels model or a custom adapter) and begins training. Models and adapters are managed as part of a Rekognition project. The response from CreateProjectVersion is an Amazon Resource Name (ARN) for the project version.

The FeatureConfig operation argument allows you to configure specific model or adapter settings. You can provide a description to the project version by using the VersionDescription argment. Training can take a while to complete. You can get the current status by calling DescribeProjectVersions. Training completed successfully if the value of the Status field is TRAINING_COMPLETED. Once training has successfully completed, call DescribeProjectVersions to get the training results and evaluate the model.

This operation requires permissions to perform the rekognition:CreateProjectVersion action.

The following applies only to projects with Amazon Rekognition Custom Labels as the chosen feature:

You can train a model in a project that doesn't have associated datasets by specifying manifest files in the TrainingData and TestingData fields.

If you open the console after training a model with manifest files, Amazon Rekognition Custom Labels creates the datasets for you using the most recent manifest files. You can no longer train a model version for the project by specifying manifest files.

Instead of training with a project without associated datasets, we recommend that you use the manifest files to create training and test datasets for the project.

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impl CreateProjectVersionFluentBuilder

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pub fn as_input(&self) -> &CreateProjectVersionInputBuilder

Access the CreateProjectVersion as a reference.

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pub async fn send( self, ) -> Result<CreateProjectVersionOutput, SdkError<CreateProjectVersionError, 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.

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pub fn customize( self, ) -> CustomizableOperation<CreateProjectVersionOutput, CreateProjectVersionError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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

The ARN of the Amazon Rekognition project that will manage the project version you want to train.

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

The ARN of the Amazon Rekognition project that will manage the project version you want to train.

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

The ARN of the Amazon Rekognition project that will manage the project version you want to train.

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

A name for the version of the project version. This value must be unique.

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

A name for the version of the project version. This value must be unique.

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

A name for the version of the project version. This value must be unique.

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pub fn output_config(self, input: OutputConfig) -> Self

The Amazon S3 bucket location to store the results of training. The bucket can be any S3 bucket in your AWS account. You need s3:PutObject permission on the bucket.

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pub fn set_output_config(self, input: Option<OutputConfig>) -> Self

The Amazon S3 bucket location to store the results of training. The bucket can be any S3 bucket in your AWS account. You need s3:PutObject permission on the bucket.

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pub fn get_output_config(&self) -> &Option<OutputConfig>

The Amazon S3 bucket location to store the results of training. The bucket can be any S3 bucket in your AWS account. You need s3:PutObject permission on the bucket.

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pub fn training_data(self, input: TrainingData) -> Self

Specifies an external manifest that the services uses to train the project version. If you specify TrainingData you must also specify TestingData. The project must not have any associated datasets.

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pub fn set_training_data(self, input: Option<TrainingData>) -> Self

Specifies an external manifest that the services uses to train the project version. If you specify TrainingData you must also specify TestingData. The project must not have any associated datasets.

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pub fn get_training_data(&self) -> &Option<TrainingData>

Specifies an external manifest that the services uses to train the project version. If you specify TrainingData you must also specify TestingData. The project must not have any associated datasets.

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pub fn testing_data(self, input: TestingData) -> Self

Specifies an external manifest that the service uses to test the project version. If you specify TestingData you must also specify TrainingData. The project must not have any associated datasets.

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pub fn set_testing_data(self, input: Option<TestingData>) -> Self

Specifies an external manifest that the service uses to test the project version. If you specify TestingData you must also specify TrainingData. The project must not have any associated datasets.

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pub fn get_testing_data(&self) -> &Option<TestingData>

Specifies an external manifest that the service uses to test the project version. If you specify TestingData you must also specify TrainingData. The project must not have any associated datasets.

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

Adds a key-value pair to Tags.

To override the contents of this collection use set_tags.

A set of tags (key-value pairs) that you want to attach to the project version.

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

A set of tags (key-value pairs) that you want to attach to the project version.

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

A set of tags (key-value pairs) that you want to attach to the project version.

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

The identifier for your AWS Key Management Service key (AWS KMS key). You can supply the Amazon Resource Name (ARN) of your KMS key, the ID of your KMS key, an alias for your KMS key, or an alias ARN. The key is used to encrypt training images, test images, and manifest files copied into the service for the project version. Your source images are unaffected. The key is also used to encrypt training results and manifest files written to the output Amazon S3 bucket (OutputConfig).

If you choose to use your own KMS key, you need the following permissions on the KMS key.

  • kms:CreateGrant

  • kms:DescribeKey

  • kms:GenerateDataKey

  • kms:Decrypt

If you don't specify a value for KmsKeyId, images copied into the service are encrypted using a key that AWS owns and manages.

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

The identifier for your AWS Key Management Service key (AWS KMS key). You can supply the Amazon Resource Name (ARN) of your KMS key, the ID of your KMS key, an alias for your KMS key, or an alias ARN. The key is used to encrypt training images, test images, and manifest files copied into the service for the project version. Your source images are unaffected. The key is also used to encrypt training results and manifest files written to the output Amazon S3 bucket (OutputConfig).

If you choose to use your own KMS key, you need the following permissions on the KMS key.

  • kms:CreateGrant

  • kms:DescribeKey

  • kms:GenerateDataKey

  • kms:Decrypt

If you don't specify a value for KmsKeyId, images copied into the service are encrypted using a key that AWS owns and manages.

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

The identifier for your AWS Key Management Service key (AWS KMS key). You can supply the Amazon Resource Name (ARN) of your KMS key, the ID of your KMS key, an alias for your KMS key, or an alias ARN. The key is used to encrypt training images, test images, and manifest files copied into the service for the project version. Your source images are unaffected. The key is also used to encrypt training results and manifest files written to the output Amazon S3 bucket (OutputConfig).

If you choose to use your own KMS key, you need the following permissions on the KMS key.

  • kms:CreateGrant

  • kms:DescribeKey

  • kms:GenerateDataKey

  • kms:Decrypt

If you don't specify a value for KmsKeyId, images copied into the service are encrypted using a key that AWS owns and manages.

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

A description applied to the project version being created.

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

A description applied to the project version being created.

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

A description applied to the project version being created.

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pub fn feature_config(self, input: CustomizationFeatureConfig) -> Self

Feature-specific configuration of the training job. If the job configuration does not match the feature type associated with the project, an InvalidParameterException is returned.

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pub fn set_feature_config( self, input: Option<CustomizationFeatureConfig>, ) -> Self

Feature-specific configuration of the training job. If the job configuration does not match the feature type associated with the project, an InvalidParameterException is returned.

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pub fn get_feature_config(&self) -> &Option<CustomizationFeatureConfig>

Feature-specific configuration of the training job. If the job configuration does not match the feature type associated with the project, an InvalidParameterException is returned.

Trait Implementations§

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impl Clone for CreateProjectVersionFluentBuilder

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fn clone(&self) -> CreateProjectVersionFluentBuilder

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 CreateProjectVersionFluentBuilder

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

Formats the value using the given formatter. Read more

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