Class StartMlDataProcessingJobRequest
- All Implemented Interfaces:
- SdkPojo,- ToCopyableBuilder<StartMlDataProcessingJobRequest.Builder,- StartMlDataProcessingJobRequest> 
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Nested Class SummaryNested Classes
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Method SummaryModifier and TypeMethodDescriptionbuilder()final StringA data specification file that describes how to load the exported graph data for training.final booleanfinal booleanequalsBySdkFields(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 inthashCode()final booleanFor responses, this returns true if the service returned a value for the SecurityGroupIds property.final booleanFor responses, this returns true if the service returned a value for the Subnets property.final Stringid()A unique identifier for the new job.final StringThe URI of the Amazon S3 location where you want SageMaker to download the data needed to run the data processing job.final StringOne of the two model types that Neptune ML currently supports: heterogeneous graph models (heterogeneous), and knowledge graph (kge).final StringThe Amazon Resource Name (ARN) of an IAM role that SageMaker can assume to perform tasks on your behalf.final StringThe job ID of a completed data processing job run on an earlier version of the data.final StringThe URI of the Amazon S3 location where you want SageMaker to save the results of a data processing job.final StringThe type of ML instance used during data processing.final IntegerThe disk volume size of the processing instance.final IntegerTimeout in seconds for the data processing job.final StringThe Amazon Key Management Service (Amazon KMS) key that SageMaker uses to encrypt the output of the processing job.final StringThe 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 StringtoString()Returns a string representation of this object.final StringThe 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.AwsRequestoverrideConfigurationMethods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuildercopy
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Method Details- 
idA 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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previousDataProcessingJobIdThe 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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inputDataS3LocationThe 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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processedDataS3LocationThe 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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sagemakerIamRoleArnThe 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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neptuneIamRoleArnThe 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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processingInstanceTypeThe 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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processingInstanceVolumeSizeInGBThe 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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processingTimeOutInSecondsTimeout 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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modelTypeOne 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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configFileNameA 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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hasSubnetspublic 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.
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subnetsThe 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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hasSecurityGroupIdspublic 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.
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securityGroupIdsThe 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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volumeEncryptionKMSKeyThe 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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s3OutputEncryptionKMSKeyThe 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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toBuilderDescription copied from interface:ToCopyableBuilderTake this object and create a builder that contains all of the current property values of this object.- Specified by:
- toBuilderin interface- ToCopyableBuilder<StartMlDataProcessingJobRequest.Builder,- StartMlDataProcessingJobRequest> 
- Specified by:
- toBuilderin class- NeptunedataRequest
- Returns:
- a builder for type T
 
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builder
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serializableBuilderClass
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hashCodepublic final int hashCode()- Overrides:
- hashCodein class- AwsRequest
 
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equals- Overrides:
- equalsin class- AwsRequest
 
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equalsBySdkFieldsDescription copied from interface:SdkPojoIndicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojoclass, and is generated based on a service model.If an SdkPojoclass does not have any inherited fields,equalsBySdkFieldsandequalsare essentially the same.- Specified by:
- equalsBySdkFieldsin interface- SdkPojo
- 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
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getValueForFieldDescription copied from class:SdkRequestUsed 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:
- getValueForFieldin class- SdkRequest
- 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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