Class StartMlModelTrainingJobRequest
- All Implemented Interfaces:
SdkPojo
,ToCopyableBuilder<StartMlModelTrainingJobRequest.Builder,
StartMlModelTrainingJobRequest>
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Nested Class Summary
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Method Summary
Modifier and TypeMethodDescriptionfinal String
The type of ML instance used in preparing and managing training of ML models.builder()
The configuration for custom model training.final String
The job ID of the completed data-processing job that has created the data that the training will work with.final Boolean
Optimizes the cost of training machine-learning models by using Amazon Elastic Compute Cloud spot instances.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 Integer
Maximum total number of training jobs to start for the hyperparameter tuning job.final Integer
Maximum number of parallel training jobs to start for the hyperparameter tuning job.final String
The ARN of an IAM role that provides Neptune access to SageMaker and Amazon S3 resources.final String
The job ID of a completed model-training job that you want to update incrementally based on updated data.final String
The Amazon Key Management Service (KMS) key that SageMaker uses to encrypt the output of the processing job.final 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.The VPC security group IDs.static Class
<? extends StartMlModelTrainingJobRequest.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 type of ML instance used for model training.final Integer
The disk volume size of the training instance.final Integer
Timeout in seconds for the training job.final String
The location in Amazon S3 where the model artifacts are to be stored.final String
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.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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previousModelTrainingJobId
The job ID of a completed model-training job that you want to update incrementally based on updated data.
- Returns:
- The job ID of a completed model-training job that you want to update incrementally based on updated data.
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dataProcessingJobId
The job ID of the completed data-processing job that has created the data that the training will work with.
- Returns:
- The job ID of the completed data-processing job that has created the data that the training will work with.
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trainModelS3Location
The location in Amazon S3 where the model artifacts are to be stored.
- Returns:
- The location in Amazon S3 where the model artifacts are to be stored.
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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 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.
- Returns:
- 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.
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baseProcessingInstanceType
The type of ML instance used in preparing and managing training of ML models. This is a CPU instance chosen based on memory requirements for processing the training data and model.
- Returns:
- The type of ML instance used in preparing and managing training of ML models. This is a CPU instance chosen based on memory requirements for processing the training data and model.
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trainingInstanceType
The type of ML instance used for model training. All Neptune ML models support CPU, GPU, and multiGPU training. The default is
ml.p3.2xlarge
. Choosing the right instance type for training depends on the task type, graph size, and your budget.- Returns:
- The type of ML instance used for model training. All Neptune ML models support CPU, GPU, and multiGPU
training. The default is
ml.p3.2xlarge
. Choosing the right instance type for training depends on the task type, graph size, and your budget.
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trainingInstanceVolumeSizeInGB
The disk volume size of the training instance. Both input data and the output model 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 selects a disk volume size based on the recommendation generated in the data processing step.
- Returns:
- The disk volume size of the training instance. Both input data and the output model 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 selects a disk volume size based on the recommendation generated in the data processing step.
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trainingTimeOutInSeconds
Timeout in seconds for the training job. The default is 86,400 (1 day).
- Returns:
- Timeout in seconds for the training job. The default is 86,400 (1 day).
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maxHPONumberOfTrainingJobs
Maximum total number of training jobs to start for the hyperparameter tuning job. The default is 2. Neptune ML automatically tunes the hyperparameters of the machine learning model. To obtain a model that performs well, use at least 10 jobs (in other words, set
maxHPONumberOfTrainingJobs
to 10). In general, the more tuning runs, the better the results.- Returns:
- Maximum total number of training jobs to start for the hyperparameter tuning job. The default is 2.
Neptune ML automatically tunes the hyperparameters of the machine learning model. To obtain a model that
performs well, use at least 10 jobs (in other words, set
maxHPONumberOfTrainingJobs
to 10). In general, the more tuning runs, the better the results.
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maxHPOParallelTrainingJobs
Maximum number of parallel training jobs to start for the hyperparameter tuning job. The default is 2. The number of parallel jobs you can run is limited by the available resources on your training instance.
- Returns:
- Maximum number of parallel training jobs to start for the hyperparameter tuning job. The default is 2. The number of parallel jobs you can run is limited by the available resources on your training instance.
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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 (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 (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 (KMS) key that SageMaker uses to encrypt the output of the processing job. The default is none.
- Returns:
- The Amazon Key Management Service (KMS) key that SageMaker uses to encrypt the output of the processing job. The default is none.
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enableManagedSpotTraining
Optimizes the cost of training machine-learning models by using Amazon Elastic Compute Cloud spot instances. The default is
False
.- Returns:
- Optimizes the cost of training machine-learning models by using Amazon Elastic Compute Cloud spot
instances. The default is
False
.
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customModelTrainingParameters
The configuration for custom model training. This is a JSON object.
- Returns:
- The configuration for custom model training. This is a JSON object.
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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<StartMlModelTrainingJobRequest.Builder,
StartMlModelTrainingJobRequest> - Specified by:
toBuilder
in classNeptunedataRequest
- Returns:
- a builder for type T
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builder
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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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