| Package | Description |
|---|---|
| software.amazon.awssdk.services.neptunedata |
|
| software.amazon.awssdk.services.neptunedata.model |
| Modifier and Type | Method and Description |
|---|---|
default StartMlModelTrainingJobResponse |
NeptunedataClient.startMLModelTrainingJob(Consumer<StartMlModelTrainingJobRequest.Builder> startMlModelTrainingJobRequest)
Creates a new Neptune ML model training job.
|
default CompletableFuture<StartMlModelTrainingJobResponse> |
NeptunedataAsyncClient.startMLModelTrainingJob(Consumer<StartMlModelTrainingJobRequest.Builder> startMlModelTrainingJobRequest)
Creates a new Neptune ML model training job.
|
| Modifier and Type | Method and Description |
|---|---|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.baseProcessingInstanceType(String baseProcessingInstanceType)
The type of ML instance used in preparing and managing training of ML models.
|
static StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.builder() |
default StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.customModelTrainingParameters(Consumer<CustomModelTrainingParameters.Builder> customModelTrainingParameters)
The configuration for custom model training.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.customModelTrainingParameters(CustomModelTrainingParameters customModelTrainingParameters)
The configuration for custom model training.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.dataProcessingJobId(String dataProcessingJobId)
The job ID of the completed data-processing job that has created the data that the training will work with.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.enableManagedSpotTraining(Boolean enableManagedSpotTraining)
Optimizes the cost of training machine-learning models by using Amazon Elastic Compute Cloud spot instances.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.id(String id)
A unique identifier for the new job.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.maxHPONumberOfTrainingJobs(Integer maxHPONumberOfTrainingJobs)
Maximum total number of training jobs to start for the hyperparameter tuning job.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.maxHPOParallelTrainingJobs(Integer maxHPOParallelTrainingJobs)
Maximum number of parallel training jobs to start for the hyperparameter tuning job.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.neptuneIamRoleArn(String neptuneIamRoleArn)
The ARN of an IAM role that provides Neptune access to SageMaker and Amazon S3 resources.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration) |
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer) |
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.previousModelTrainingJobId(String previousModelTrainingJobId)
The job ID of a completed model-training job that you want to update incrementally based on updated data.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.s3OutputEncryptionKMSKey(String s3OutputEncryptionKMSKey)
The Amazon Key Management Service (KMS) key that SageMaker uses to encrypt the output of the processing job.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.sagemakerIamRoleArn(String 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.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.securityGroupIds(Collection<String> securityGroupIds)
The VPC security group IDs.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.securityGroupIds(String... securityGroupIds)
The VPC security group IDs.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.subnets(Collection<String> subnets)
The IDs of the subnets in the Neptune VPC.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.subnets(String... subnets)
The IDs of the subnets in the Neptune VPC.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.toBuilder() |
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.trainingInstanceType(String trainingInstanceType)
The type of ML instance used for model training.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.trainingInstanceVolumeSizeInGB(Integer trainingInstanceVolumeSizeInGB)
The disk volume size of the training instance.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.trainingTimeOutInSeconds(Integer trainingTimeOutInSeconds)
Timeout in seconds for the training job.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.trainModelS3Location(String trainModelS3Location)
The location in Amazon S3 where the model artifacts are to be stored.
|
StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.volumeEncryptionKMSKey(String 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.
|
| Modifier and Type | Method and Description |
|---|---|
static Class<? extends StartMlModelTrainingJobRequest.Builder> |
StartMlModelTrainingJobRequest.serializableBuilderClass() |
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