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Container for the parameters to the StartMLDataProcessingJob operation.
Creates a new Neptune ML data processing job for processing the graph data exported
from Neptune for training. See The
dataprocessing command.
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:StartMLModelDataProcessingJob IAM action in that cluster.
Namespace: Amazon.Neptunedata.Model
Assembly: AWSSDK.Neptunedata.dll
Version: 3.x.y.z
public class StartMLDataProcessingJobRequest : AmazonNeptunedataRequest IAmazonWebServiceRequest
The StartMLDataProcessingJobRequest type exposes the following members
| Name | Description | |
|---|---|---|
|
StartMLDataProcessingJobRequest() |
| Name | Type | Description | |
|---|---|---|---|
|
ConfigFileName | System.String |
Gets and sets the property ConfigFileName.
A data specification file that describes how to load the exported graph data for training.
The file is automatically generated by the Neptune export toolkit. The default is
|
|
Id | System.String |
Gets and sets the property Id. A unique identifier for the new job. The default is an autogenerated UUID. |
|
InputDataS3Location | System.String |
Gets and sets the property InputDataS3Location. The URI of the Amazon S3 location where you want SageMaker to download the data needed to run the data processing job. |
|
ModelType | System.String |
Gets and sets the property ModelType.
One of the two model types that Neptune ML currently supports: heterogeneous graph
models ( |
|
NeptuneIamRoleArn | System.String |
Gets and sets the property NeptuneIamRoleArn. The Amazon Resource Name (ARN) of an IAM role that SageMaker can assume to perform tasks on your behalf. This must be listed in your DB cluster parameter group or an error will occur. |
|
PreviousDataProcessingJobId | System.String |
Gets and sets the property PreviousDataProcessingJobId. The job ID of a completed data processing job run on an earlier version of the data. |
|
ProcessedDataS3Location | System.String |
Gets and sets the property ProcessedDataS3Location. The URI of the Amazon S3 location where you want SageMaker to save the results of a data processing job. |
|
ProcessingInstanceType | System.String |
Gets and sets the property ProcessingInstanceType. The type of ML instance used during data processing. Its memory should be large enough to hold the processed dataset. The default is the smallest ml.r5 type whose memory is ten times larger than the size of the exported graph data on disk. |
|
ProcessingInstanceVolumeSizeInGB | System.Int32 |
Gets and sets the property ProcessingInstanceVolumeSizeInGB. The disk volume size of the processing instance. Both input data and processed data are stored on disk, so the volume size must be large enough to hold both data sets. The default is 0. If not specified or 0, Neptune ML chooses the volume size automatically based on the data size. |
|
ProcessingTimeOutInSeconds | System.Int32 |
Gets and sets the property ProcessingTimeOutInSeconds. Timeout in seconds for the data processing job. The default is 86,400 (1 day). |
|
S3OutputEncryptionKMSKey | System.String |
Gets and sets the property S3OutputEncryptionKMSKey. The Amazon Key Management Service (Amazon KMS) key that SageMaker uses to encrypt the output of the processing job. The default is none. |
|
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. |
|
SecurityGroupIds | System.Collections.Generic.List<System.String> |
Gets and sets the property SecurityGroupIds. The VPC security group IDs. The default is None. |
|
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. |
|
VolumeEncryptionKMSKey | System.String |
Gets and sets the property VolumeEncryptionKMSKey. The Amazon Key Management Service (Amazon 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. |
.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