Class: Aws::Neptunedata::Types::StartMLDataProcessingJobInput

Inherits:

Struct

• Object
• Struct
• Aws::Neptunedata::Types::StartMLDataProcessingJobInput

Includes:

Structure

Defined in:

lib/aws-sdk-neptunedata/types.rb

Overview

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #config_file_name ⇒ String

  A data specification file that describes how to load the exported graph data for training.

• #id ⇒ String

  A unique identifier for the new job.

• #input_data_s3_location ⇒ String

  The URI of the Amazon S3 location where you want SageMaker to download the data needed to run the data processing job.

• #model_type ⇒ String

  One of the two model types that Neptune ML currently supports: heterogeneous graph models (‘heterogeneous`), and knowledge graph (`kge`).

• #neptune_iam_role_arn ⇒ String

  The Amazon Resource Name (ARN) of an IAM role that SageMaker can assume to perform tasks on your behalf.

• #previous_data_processing_job_id ⇒ String

  The job ID of a completed data processing job run on an earlier version of the data.

• #processed_data_s3_location ⇒ String

  The URI of the Amazon S3 location where you want SageMaker to save the results of a data processing job.

• #processing_instance_type ⇒ String

  The type of ML instance used during data processing.

• #processing_instance_volume_size_in_gb ⇒ Integer

  The disk volume size of the processing instance.

• #processing_time_out_in_seconds ⇒ Integer

  Timeout in seconds for the data processing job.

• #s3_output_encryption_kms_key ⇒ String

  The Amazon Key Management Service (Amazon KMS) key that SageMaker uses to encrypt the output of the processing job.

• #sagemaker_iam_role_arn ⇒ String

  The ARN of an IAM role for SageMaker execution.

• #security_group_ids ⇒ Array<String>

  The VPC security group IDs.

• #subnets ⇒ Array<String>

  The IDs of the subnets in the Neptune VPC.

• #volume_encryption_kms_key ⇒ String

  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.

Instance Attribute Details

#config_file_name ⇒ String

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 ‘training-data-configuration.json`.

Returns:

• (String)

# File 'lib/aws-sdk-neptunedata/types.rb', line 3440

class StartMLDataProcessingJobInput < Struct.new(
  :id,
  :previous_data_processing_job_id,
  :input_data_s3_location,
  :processed_data_s3_location,
  :sagemaker_iam_role_arn,
  :neptune_iam_role_arn,
  :processing_instance_type,
  :processing_instance_volume_size_in_gb,
  :processing_time_out_in_seconds,
  :model_type,
  :config_file_name,
  :subnets,
  :security_group_ids,
  :volume_encryption_kms_key,
  :s3_output_encryption_kms_key)
  SENSITIVE = []
  include Aws::Structure
end

#id ⇒ String

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

Returns:

• (String)

# File 'lib/aws-sdk-neptunedata/types.rb', line 3440

class StartMLDataProcessingJobInput < Struct.new(
  :id,
  :previous_data_processing_job_id,
  :input_data_s3_location,
  :processed_data_s3_location,
  :sagemaker_iam_role_arn,
  :neptune_iam_role_arn,
  :processing_instance_type,
  :processing_instance_volume_size_in_gb,
  :processing_time_out_in_seconds,
  :model_type,
  :config_file_name,
  :subnets,
  :security_group_ids,
  :volume_encryption_kms_key,
  :s3_output_encryption_kms_key)
  SENSITIVE = []
  include Aws::Structure
end

#input_data_s3_location ⇒ String

The URI of the Amazon S3 location where you want SageMaker to download the data needed to run the data processing job.

Returns:

• (String)

# File 'lib/aws-sdk-neptunedata/types.rb', line 3440

class StartMLDataProcessingJobInput < Struct.new(
  :id,
  :previous_data_processing_job_id,
  :input_data_s3_location,
  :processed_data_s3_location,
  :sagemaker_iam_role_arn,
  :neptune_iam_role_arn,
  :processing_instance_type,
  :processing_instance_volume_size_in_gb,
  :processing_time_out_in_seconds,
  :model_type,
  :config_file_name,
  :subnets,
  :security_group_ids,
  :volume_encryption_kms_key,
  :s3_output_encryption_kms_key)
  SENSITIVE = []
  include Aws::Structure
end

#model_type ⇒ String

One of the two model types that Neptune ML currently supports: heterogeneous graph models (‘heterogeneous`), and knowledge graph (`kge`). The default is none. If not specified, Neptune ML chooses the model type automatically based on the data.

Returns:

• (String)

# File 'lib/aws-sdk-neptunedata/types.rb', line 3440

class StartMLDataProcessingJobInput < Struct.new(
  :id,
  :previous_data_processing_job_id,
  :input_data_s3_location,
  :processed_data_s3_location,
  :sagemaker_iam_role_arn,
  :neptune_iam_role_arn,
  :processing_instance_type,
  :processing_instance_volume_size_in_gb,
  :processing_time_out_in_seconds,
  :model_type,
  :config_file_name,
  :subnets,
  :security_group_ids,
  :volume_encryption_kms_key,
  :s3_output_encryption_kms_key)
  SENSITIVE = []
  include Aws::Structure
end

#neptune_iam_role_arn ⇒ String

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.

Returns:

• (String)

# File 'lib/aws-sdk-neptunedata/types.rb', line 3440

class StartMLDataProcessingJobInput < Struct.new(
  :id,
  :previous_data_processing_job_id,
  :input_data_s3_location,
  :processed_data_s3_location,
  :sagemaker_iam_role_arn,
  :neptune_iam_role_arn,
  :processing_instance_type,
  :processing_instance_volume_size_in_gb,
  :processing_time_out_in_seconds,
  :model_type,
  :config_file_name,
  :subnets,
  :security_group_ids,
  :volume_encryption_kms_key,
  :s3_output_encryption_kms_key)
  SENSITIVE = []
  include Aws::Structure
end

#previous_data_processing_job_id ⇒ String

The job ID of a completed data processing job run on an earlier version of the data.

Returns:

• (String)

# File 'lib/aws-sdk-neptunedata/types.rb', line 3440

class StartMLDataProcessingJobInput < Struct.new(
  :id,
  :previous_data_processing_job_id,
  :input_data_s3_location,
  :processed_data_s3_location,
  :sagemaker_iam_role_arn,
  :neptune_iam_role_arn,
  :processing_instance_type,
  :processing_instance_volume_size_in_gb,
  :processing_time_out_in_seconds,
  :model_type,
  :config_file_name,
  :subnets,
  :security_group_ids,
  :volume_encryption_kms_key,
  :s3_output_encryption_kms_key)
  SENSITIVE = []
  include Aws::Structure
end

#processed_data_s3_location ⇒ String

The URI of the Amazon S3 location where you want SageMaker to save the results of a data processing job.

Returns:

• (String)

# File 'lib/aws-sdk-neptunedata/types.rb', line 3440

class StartMLDataProcessingJobInput < Struct.new(
  :id,
  :previous_data_processing_job_id,
  :input_data_s3_location,
  :processed_data_s3_location,
  :sagemaker_iam_role_arn,
  :neptune_iam_role_arn,
  :processing_instance_type,
  :processing_instance_volume_size_in_gb,
  :processing_time_out_in_seconds,
  :model_type,
  :config_file_name,
  :subnets,
  :security_group_ids,
  :volume_encryption_kms_key,
  :s3_output_encryption_kms_key)
  SENSITIVE = []
  include Aws::Structure
end

#processing_instance_type ⇒ String

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.

Returns:

• (String)

# File 'lib/aws-sdk-neptunedata/types.rb', line 3440

class StartMLDataProcessingJobInput < Struct.new(
  :id,
  :previous_data_processing_job_id,
  :input_data_s3_location,
  :processed_data_s3_location,
  :sagemaker_iam_role_arn,
  :neptune_iam_role_arn,
  :processing_instance_type,
  :processing_instance_volume_size_in_gb,
  :processing_time_out_in_seconds,
  :model_type,
  :config_file_name,
  :subnets,
  :security_group_ids,
  :volume_encryption_kms_key,
  :s3_output_encryption_kms_key)
  SENSITIVE = []
  include Aws::Structure
end

#processing_instance_volume_size_in_gb ⇒ Integer

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.

Returns:

• (Integer)

# File 'lib/aws-sdk-neptunedata/types.rb', line 3440

class StartMLDataProcessingJobInput < Struct.new(
  :id,
  :previous_data_processing_job_id,
  :input_data_s3_location,
  :processed_data_s3_location,
  :sagemaker_iam_role_arn,
  :neptune_iam_role_arn,
  :processing_instance_type,
  :processing_instance_volume_size_in_gb,
  :processing_time_out_in_seconds,
  :model_type,
  :config_file_name,
  :subnets,
  :security_group_ids,
  :volume_encryption_kms_key,
  :s3_output_encryption_kms_key)
  SENSITIVE = []
  include Aws::Structure
end

#processing_time_out_in_seconds ⇒ Integer

Timeout in seconds for the data processing job. The default is 86,400 (1 day).

Returns:

• (Integer)

# File 'lib/aws-sdk-neptunedata/types.rb', line 3440

class StartMLDataProcessingJobInput < Struct.new(
  :id,
  :previous_data_processing_job_id,
  :input_data_s3_location,
  :processed_data_s3_location,
  :sagemaker_iam_role_arn,
  :neptune_iam_role_arn,
  :processing_instance_type,
  :processing_instance_volume_size_in_gb,
  :processing_time_out_in_seconds,
  :model_type,
  :config_file_name,
  :subnets,
  :security_group_ids,
  :volume_encryption_kms_key,
  :s3_output_encryption_kms_key)
  SENSITIVE = []
  include Aws::Structure
end

#s3_output_encryption_kms_key ⇒ String

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

Returns:

• (String)

# File 'lib/aws-sdk-neptunedata/types.rb', line 3440

class StartMLDataProcessingJobInput < Struct.new(
  :id,
  :previous_data_processing_job_id,
  :input_data_s3_location,
  :processed_data_s3_location,
  :sagemaker_iam_role_arn,
  :neptune_iam_role_arn,
  :processing_instance_type,
  :processing_instance_volume_size_in_gb,
  :processing_time_out_in_seconds,
  :model_type,
  :config_file_name,
  :subnets,
  :security_group_ids,
  :volume_encryption_kms_key,
  :s3_output_encryption_kms_key)
  SENSITIVE = []
  include Aws::Structure
end

#sagemaker_iam_role_arn ⇒ String

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

Returns:

• (String)

# File 'lib/aws-sdk-neptunedata/types.rb', line 3440

class StartMLDataProcessingJobInput < Struct.new(
  :id,
  :previous_data_processing_job_id,
  :input_data_s3_location,
  :processed_data_s3_location,
  :sagemaker_iam_role_arn,
  :neptune_iam_role_arn,
  :processing_instance_type,
  :processing_instance_volume_size_in_gb,
  :processing_time_out_in_seconds,
  :model_type,
  :config_file_name,
  :subnets,
  :security_group_ids,
  :volume_encryption_kms_key,
  :s3_output_encryption_kms_key)
  SENSITIVE = []
  include Aws::Structure
end

#security_group_ids ⇒ Array<String>

The VPC security group IDs. The default is None.

Returns:

• (Array<String>)

# File 'lib/aws-sdk-neptunedata/types.rb', line 3440

class StartMLDataProcessingJobInput < Struct.new(
  :id,
  :previous_data_processing_job_id,
  :input_data_s3_location,
  :processed_data_s3_location,
  :sagemaker_iam_role_arn,
  :neptune_iam_role_arn,
  :processing_instance_type,
  :processing_instance_volume_size_in_gb,
  :processing_time_out_in_seconds,
  :model_type,
  :config_file_name,
  :subnets,
  :security_group_ids,
  :volume_encryption_kms_key,
  :s3_output_encryption_kms_key)
  SENSITIVE = []
  include Aws::Structure
end

#subnets ⇒ Array<String>

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

Returns:

• (Array<String>)

# File 'lib/aws-sdk-neptunedata/types.rb', line 3440

class StartMLDataProcessingJobInput < Struct.new(
  :id,
  :previous_data_processing_job_id,
  :input_data_s3_location,
  :processed_data_s3_location,
  :sagemaker_iam_role_arn,
  :neptune_iam_role_arn,
  :processing_instance_type,
  :processing_instance_volume_size_in_gb,
  :processing_time_out_in_seconds,
  :model_type,
  :config_file_name,
  :subnets,
  :security_group_ids,
  :volume_encryption_kms_key,
  :s3_output_encryption_kms_key)
  SENSITIVE = []
  include Aws::Structure
end

#volume_encryption_kms_key ⇒ String

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.

Returns:

• (String)

# File 'lib/aws-sdk-neptunedata/types.rb', line 3440

class StartMLDataProcessingJobInput < Struct.new(
  :id,
  :previous_data_processing_job_id,
  :input_data_s3_location,
  :processed_data_s3_location,
  :sagemaker_iam_role_arn,
  :neptune_iam_role_arn,
  :processing_instance_type,
  :processing_instance_volume_size_in_gb,
  :processing_time_out_in_seconds,
  :model_type,
  :config_file_name,
  :subnets,
  :security_group_ids,
  :volume_encryption_kms_key,
  :s3_output_encryption_kms_key)
  SENSITIVE = []
  include Aws::Structure
end