CmdID / aws / aws neptunedata

aws neptunedata start-ml-model-transform-job

Creates a new model transform job. AWS CLI reference

14 options Its page in the AWS CLI reference

Options

14 in the AWS CLI reference

--base-processing-instance-typeThe type of ML instance used in preparing and managing training of ML models.

--base-processing-instance-volume-size-in-gbThe disk volume size of the training instance in gigabytes.

--custom-model-transform-parametersConfiguration information for a model transform using a custom model.

--data-processing-job-idThe job ID of a completed data-processing job.

--idA unique identifier for the new job.

--ml-model-training-job-idThe job ID of a completed model-training job.

--model-transform-output-s3-locationThe location in Amazon S3 where the model artifacts are to be stored.

--neptune-iam-role-arnThe ARN of an IAM role that provides Neptune access to SageMaker and Amazon S3 resources.

--s3-output-encryption-kms-keyThe Amazon Key Management Service (KMS) key that SageMaker uses to encrypt the output of the processing job.

--sagemaker-iam-role-arnThe ARN of an IAM role for SageMaker execution.

--security-group-idsThe VPC security group IDs.

--subnetsThe IDs of the subnets in the Neptune VPC.

--training-job-nameThe name of a completed SageMaker training job.

--volume-encryption-kms-keyThe Amazon Key Management Service (KMS) key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instances that run the training job.