Class StartMlDataProcessingJobRequest
- All Implemented Interfaces:
SdkPojo
,ToCopyableBuilder<StartMlDataProcessingJobRequest.Builder,
StartMlDataProcessingJobRequest>
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Nested Class Summary
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Method Summary
Modifier and TypeMethodDescriptionbuilder()
final String
A data specification file that describes how to load the exported graph data for training.final boolean
final boolean
equalsBySdkFields
(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final <T> Optional
<T> getValueForField
(String fieldName, Class<T> clazz) Used to retrieve the value of a field from any class that extendsSdkRequest
.final int
hashCode()
final boolean
For responses, this returns true if the service returned a value for the SecurityGroupIds property.final boolean
For responses, this returns true if the service returned a value for the Subnets property.final String
id()
A unique identifier for the new job.final String
The URI of the Amazon S3 location where you want SageMaker to download the data needed to run the data processing job.final String
One of the two model types that Neptune ML currently supports: heterogeneous graph models (heterogeneous
), and knowledge graph (kge
).final String
The Amazon Resource Name (ARN) of an IAM role that SageMaker can assume to perform tasks on your behalf.final String
The job ID of a completed data processing job run on an earlier version of the data.final String
The URI of the Amazon S3 location where you want SageMaker to save the results of a data processing job.final String
The type of ML instance used during data processing.final Integer
The disk volume size of the processing instance.final Integer
Timeout in seconds for the data processing job.final String
The Amazon Key Management Service (Amazon KMS) key that SageMaker uses to encrypt the output of the processing job.final String
The ARN of an IAM role for SageMaker execution.The VPC security group IDs.static Class
<? extends StartMlDataProcessingJobRequest.Builder> subnets()
The IDs of the subnets in the Neptune VPC.Take this object and create a builder that contains all of the current property values of this object.final String
toString()
Returns a string representation of this object.final 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.Methods inherited from class software.amazon.awssdk.awscore.AwsRequest
overrideConfiguration
Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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id
A unique identifier for the new job. The default is an autogenerated UUID.
- Returns:
- A unique identifier for the new job. The default is an autogenerated UUID.
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previousDataProcessingJobId
The job ID of a completed data processing job run on an earlier version of the data.
- Returns:
- The job ID of a completed data processing job run on an earlier version of the data.
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inputDataS3Location
The URI of the Amazon S3 location where you want SageMaker to download the data needed to run the data processing job.
- Returns:
- The URI of the Amazon S3 location where you want SageMaker to download the data needed to run the data processing job.
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processedDataS3Location
The URI of the Amazon S3 location where you want SageMaker to save the results of a data processing job.
- Returns:
- The URI of the Amazon S3 location where you want SageMaker to save the results of a data processing job.
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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.
- Returns:
- The ARN of an IAM role for SageMaker execution. This must be listed in your DB cluster parameter group or an error will occur.
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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.
- Returns:
- 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.
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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.
- Returns:
- 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.
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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.
- Returns:
- 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.
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processingTimeOutInSeconds
Timeout in seconds for the data processing job. The default is 86,400 (1 day).
- Returns:
- Timeout in seconds for the data processing job. The default is 86,400 (1 day).
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modelType
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:
- 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.
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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
training-data-configuration.json
.- Returns:
- 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
.
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hasSubnets
public final boolean hasSubnets()For responses, this returns true if the service returned a value for the Subnets property. This DOES NOT check that the value is non-empty (for which, you should check theisEmpty()
method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified. -
subnets
The IDs of the subnets in the Neptune VPC. The default is None.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the
hasSubnets()
method.- Returns:
- The IDs of the subnets in the Neptune VPC. The default is None.
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hasSecurityGroupIds
public final boolean hasSecurityGroupIds()For responses, this returns true if the service returned a value for the SecurityGroupIds property. This DOES NOT check that the value is non-empty (for which, you should check theisEmpty()
method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified. -
securityGroupIds
The VPC security group IDs. The default is None.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the
hasSecurityGroupIds()
method.- Returns:
- The VPC security group IDs. The default is None.
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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.
- Returns:
- 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.
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s3OutputEncryptionKMSKey
The Amazon Key Management Service (Amazon KMS) key that SageMaker uses to encrypt the output of the processing job. The default is none.
- Returns:
- The Amazon Key Management Service (Amazon KMS) key that SageMaker uses to encrypt the output of the processing job. The default is none.
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toBuilder
Description copied from interface:ToCopyableBuilder
Take this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilder
in interfaceToCopyableBuilder<StartMlDataProcessingJobRequest.Builder,
StartMlDataProcessingJobRequest> - Specified by:
toBuilder
in classNeptunedataRequest
- Returns:
- a builder for type T
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builder
-
serializableBuilderClass
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hashCode
public final int hashCode()- Overrides:
hashCode
in classAwsRequest
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equals
- Overrides:
equals
in classAwsRequest
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equalsBySdkFields
Description copied from interface:SdkPojo
Indicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojo
class, and is generated based on a service model.If an
SdkPojo
class does not have any inherited fields,equalsBySdkFields
andequals
are essentially the same.- Specified by:
equalsBySdkFields
in interfaceSdkPojo
- Parameters:
obj
- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
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toString
Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value. -
getValueForField
Description copied from class:SdkRequest
Used to retrieve the value of a field from any class that extendsSdkRequest
. The field name specified should match the member name from the corresponding service-2.json model specified in the codegen-resources folder for a given service. The class specifies what class to cast the returned value to. If the returned value is also a modeled class, theSdkRequest.getValueForField(String, Class)
method will again be available.- Overrides:
getValueForField
in classSdkRequest
- Parameters:
fieldName
- The name of the member to be retrieved.clazz
- The class to cast the returned object to.- Returns:
- Optional containing the casted return value
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sdkFields
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