@Generated(value="jsii-pacmak/1.30.0 (build adae23f)", date="2021-06-30T10:01:43.928Z") @Stability(value=Experimental) public interface SageMakerCreateTrainingJobProps extends software.amazon.jsii.JsiiSerializable, TaskStateBaseProps
| Modifier and Type | Interface and Description |
|---|---|
static class |
SageMakerCreateTrainingJobProps.Builder
A builder for
SageMakerCreateTrainingJobProps |
static class |
SageMakerCreateTrainingJobProps.Jsii$Proxy
An implementation for
SageMakerCreateTrainingJobProps |
| Modifier and Type | Method and Description |
|---|---|
static SageMakerCreateTrainingJobProps.Builder |
builder() |
AlgorithmSpecification |
getAlgorithmSpecification()
(experimental) Identifies the training algorithm to use.
|
default Map<String,Object> |
getHyperparameters()
(experimental) Algorithm-specific parameters that influence the quality of the model.
|
List<Channel> |
getInputDataConfig()
(experimental) Describes the various datasets (e.g.
|
OutputDataConfig |
getOutputDataConfig()
(experimental) Identifies the Amazon S3 location where you want Amazon SageMaker to save the results of model training.
|
default ResourceConfig |
getResourceConfig()
(experimental) Specifies the resources, ML compute instances, and ML storage volumes to deploy for model training.
|
default IRole |
getRole()
(experimental) Role for the Training Job.
|
default StoppingCondition |
getStoppingCondition()
(experimental) Sets a time limit for training.
|
default Map<String,String> |
getTags()
(experimental) Tags to be applied to the train job.
|
String |
getTrainingJobName()
(experimental) Training Job Name.
|
default VpcConfig |
getVpcConfig()
(experimental) Specifies the VPC that you want your training job to connect to.
|
getComment, getHeartbeat, getInputPath, getIntegrationPattern, getOutputPath, getResultPath, getResultSelector, getTimeout@Stability(value=Experimental) @NotNull AlgorithmSpecification getAlgorithmSpecification()
@Stability(value=Experimental) @NotNull List<Channel> getInputDataConfig()
@Stability(value=Experimental) @NotNull OutputDataConfig getOutputDataConfig()
@Stability(value=Experimental) @NotNull String getTrainingJobName()
@Stability(value=Experimental) @Nullable default Map<String,Object> getHyperparameters()
Set hyperparameters before you start the learning process. For a list of hyperparameters provided by Amazon SageMaker
Default: - No hyperparameters
https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html@Stability(value=Experimental) @Nullable default ResourceConfig getResourceConfig()
Default: - 1 instance of EC2 `M4.XLarge` with `10GB` volume
@Stability(value=Experimental) @Nullable default IRole getRole()
The role must be granted all necessary permissions for the SageMaker training job to be able to operate.
See https://docs.aws.amazon.com/fr_fr/sagemaker/latest/dg/sagemaker-roles.html#sagemaker-roles-createtrainingjob-perms
Default: - a role will be created.
@Stability(value=Experimental) @Nullable default StoppingCondition getStoppingCondition()
Default: - max runtime of 1 hour
@Stability(value=Experimental) @Nullable default Map<String,String> getTags()
Default: - No tags
@Stability(value=Experimental) @Nullable default VpcConfig getVpcConfig()
Default: - No VPC
@Stability(value=Experimental) static SageMakerCreateTrainingJobProps.Builder builder()
builder in interface TaskStateBasePropsSageMakerCreateTrainingJobProps.Builder of SageMakerCreateTrainingJobPropsCopyright © 2021. All rights reserved.