The input for CreateProjectVersionCommand.

interface CreateProjectVersionCommandInput {
    KmsKeyId?: string;
    OutputConfig: undefined | OutputConfig;
    ProjectArn: undefined | string;
    Tags?: Record<string, string>;
    TestingData?: TestingData;
    TrainingData?: TrainingData;
    VersionName: undefined | string;
}

Hierarchy (view full)

Properties

KmsKeyId?: 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 and test images copied into the service for model training. 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.

OutputConfig: undefined | OutputConfig

The Amazon S3 bucket location to store the results of training. The S3 bucket can be in any AWS account as long as the caller has s3:PutObject permissions on the S3 bucket.

ProjectArn: undefined | string

The ARN of the Amazon Rekognition Custom Labels project that manages the model that you want to train.

Tags?: Record<string, string>

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

TestingData?: TestingData

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

TrainingData?: TrainingData

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

VersionName: undefined | string

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