| Modifier and Type | Method and Description |
|---|---|
SagemakerTrainTask.Builder |
SagemakerTrainTask.Builder.algorithmSpecification(AlgorithmSpecification algorithmSpecification)
Identifies the training algorithm to use.
|
static SagemakerTrainTask.Builder |
SagemakerTrainTask.Builder.create()
EXPERIMENTAL
|
SagemakerTrainTask.Builder |
SagemakerTrainTask.Builder.hyperparameters(Map<String,Object> hyperparameters)
Hyperparameters to be used for the train job.
|
SagemakerTrainTask.Builder |
SagemakerTrainTask.Builder.inputDataConfig(List<Channel> inputDataConfig)
Describes the various datasets (e.g.
|
SagemakerTrainTask.Builder |
SagemakerTrainTask.Builder.integrationPattern(ServiceIntegrationPattern integrationPattern)
The service integration pattern indicates different ways to call SageMaker APIs.
|
SagemakerTrainTask.Builder |
SagemakerTrainTask.Builder.outputDataConfig(OutputDataConfig outputDataConfig)
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results of model training.
|
SagemakerTrainTask.Builder |
SagemakerTrainTask.Builder.resourceConfig(ResourceConfig resourceConfig)
Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training.
|
SagemakerTrainTask.Builder |
SagemakerTrainTask.Builder.role(IRole role)
Role for the Training Job.
|
SagemakerTrainTask.Builder |
SagemakerTrainTask.Builder.stoppingCondition(StoppingCondition stoppingCondition)
Sets a time limit for training.
|
SagemakerTrainTask.Builder |
SagemakerTrainTask.Builder.tags(Map<String,String> tags)
Tags to be applied to the train job.
|
SagemakerTrainTask.Builder |
SagemakerTrainTask.Builder.trainingJobName(String trainingJobName)
Training Job Name.
|
SagemakerTrainTask.Builder |
SagemakerTrainTask.Builder.vpcConfig(VpcConfig vpcConfig)
Specifies the VPC that you want your training job to connect to.
|
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