AWS SDK Version 3 for .NET
API Reference

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Container for the parameters to the StartMLModelTransformJob operation. Creates a new model transform job. See Use a trained model to generate new model artifacts.

When invoking this operation in a Neptune cluster that has IAM authentication enabled, the IAM user or role making the request must have a policy attached that allows the neptune-db:StartMLModelTransformJob IAM action in that cluster.

Inheritance Hierarchy

System.Object
  Amazon.Runtime.AmazonWebServiceRequest
    Amazon.Neptunedata.AmazonNeptunedataRequest
      Amazon.Neptunedata.Model.StartMLModelTransformJobRequest

Namespace: Amazon.Neptunedata.Model
Assembly: AWSSDK.Neptunedata.dll
Version: 3.x.y.z

Syntax

C#
public class StartMLModelTransformJobRequest : AmazonNeptunedataRequest
         IAmazonWebServiceRequest

The StartMLModelTransformJobRequest type exposes the following members

Constructors

Properties

NameTypeDescription
Public Property BaseProcessingInstanceType System.String

Gets and sets the property BaseProcessingInstanceType.

The type of ML instance used in preparing and managing training of ML models. This is an ML compute instance chosen based on memory requirements for processing the training data and model.

Public Property BaseProcessingInstanceVolumeSizeInGB System.Int32

Gets and sets the property BaseProcessingInstanceVolumeSizeInGB.

The disk volume size of the training instance in gigabytes. The default is 0. Both input data and the output model are stored on disk, so the volume size must be large enough to hold both data sets. If not specified or 0, Neptune ML selects a disk volume size based on the recommendation generated in the data processing step.

Public Property CustomModelTransformParameters Amazon.Neptunedata.Model.CustomModelTransformParameters

Gets and sets the property CustomModelTransformParameters.

Configuration information for a model transform using a custom model. The customModelTransformParameters object contains the following fields, which must have values compatible with the saved model parameters from the training job:

Public Property DataProcessingJobId System.String

Gets and sets the property DataProcessingJobId.

The job ID of a completed data-processing job. You must include either dataProcessingJobId and a mlModelTrainingJobId, or a trainingJobName.

Public Property Id System.String

Gets and sets the property Id.

A unique identifier for the new job. The default is an autogenerated UUID.

Public Property MlModelTrainingJobId System.String

Gets and sets the property MlModelTrainingJobId.

The job ID of a completed model-training job. You must include either dataProcessingJobId and a mlModelTrainingJobId, or a trainingJobName.

Public Property ModelTransformOutputS3Location System.String

Gets and sets the property ModelTransformOutputS3Location.

The location in Amazon S3 where the model artifacts are to be stored.

Public Property NeptuneIamRoleArn System.String

Gets and sets the property NeptuneIamRoleArn.

The ARN of an IAM role that provides Neptune access to SageMaker and Amazon S3 resources. This must be listed in your DB cluster parameter group or an error will occur.

Public Property S3OutputEncryptionKMSKey System.String

Gets and sets the property S3OutputEncryptionKMSKey.

The Amazon Key Management Service (KMS) key that SageMaker uses to encrypt the output of the processing job. The default is none.

Public Property SagemakerIamRoleArn System.String

Gets and sets the property SagemakerIamRoleArn.

The ARN of an IAM role for SageMaker execution. This must be listed in your DB cluster parameter group or an error will occur.

Public Property SecurityGroupIds System.Collections.Generic.List<System.String>

Gets and sets the property SecurityGroupIds.

The VPC security group IDs. The default is None.

Public Property Subnets System.Collections.Generic.List<System.String>

Gets and sets the property Subnets.

The IDs of the subnets in the Neptune VPC. The default is None.

Public Property TrainingJobName System.String

Gets and sets the property TrainingJobName.

The name of a completed SageMaker training job. You must include either dataProcessingJobId and a mlModelTrainingJobId, or a trainingJobName.

Public Property VolumeEncryptionKMSKey System.String

Gets and sets the property VolumeEncryptionKMSKey.

The 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. The default is None.

Version Information

.NET:
Supported in: 8.0 and newer, Core 3.1

.NET Standard:
Supported in: 2.0

.NET Framework:
Supported in: 4.5 and newer, 3.5