StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.baseProcessingInstanceType(String baseProcessingInstanceType) |
The type of ML instance used in preparing and managing training of ML models.
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static StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.builder() |
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default StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.customModelTrainingParameters(Consumer<CustomModelTrainingParameters.Builder> customModelTrainingParameters) |
The configuration for custom model training.
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StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.customModelTrainingParameters(CustomModelTrainingParameters customModelTrainingParameters) |
The configuration for custom model training.
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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.
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StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.enableManagedSpotTraining(Boolean enableManagedSpotTraining) |
Optimizes the cost of training machine-learning models by using Amazon Elastic Compute Cloud spot instances.
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StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.id(String id) |
A unique identifier for the new job.
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StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.maxHPONumberOfTrainingJobs(Integer maxHPONumberOfTrainingJobs) |
Maximum total number of training jobs to start for the hyperparameter tuning job.
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StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.maxHPOParallelTrainingJobs(Integer maxHPOParallelTrainingJobs) |
Maximum number of parallel training jobs to start for the hyperparameter tuning job.
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StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.neptuneIamRoleArn(String neptuneIamRoleArn) |
The ARN of an IAM role that provides Neptune access to SageMaker and Amazon S3 resources.
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StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer) |
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StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration) |
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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.
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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.
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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.
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StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.securityGroupIds(String... securityGroupIds) |
The VPC security group IDs.
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StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.securityGroupIds(Collection<String> securityGroupIds) |
The VPC security group IDs.
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StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.subnets(String... subnets) |
The IDs of the subnets in the Neptune VPC.
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StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.subnets(Collection<String> subnets) |
The IDs of the subnets in the Neptune VPC.
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StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.toBuilder() |
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StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.trainingInstanceType(String trainingInstanceType) |
The type of ML instance used for model training.
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StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.trainingInstanceVolumeSizeInGB(Integer trainingInstanceVolumeSizeInGB) |
The disk volume size of the training instance.
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StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.trainingTimeOutInSeconds(Integer trainingTimeOutInSeconds) |
Timeout in seconds for the training job.
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StartMlModelTrainingJobRequest.Builder |
StartMlModelTrainingJobRequest.Builder.trainModelS3Location(String trainModelS3Location) |
The location in Amazon S3 where the model artifacts are to be stored.
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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.
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