public static interface HyperParameterAlgorithmSpecification.Builder extends SdkPojo, CopyableBuilder<HyperParameterAlgorithmSpecification.Builder,HyperParameterAlgorithmSpecification>
| Modifier and Type | Method and Description |
|---|---|
HyperParameterAlgorithmSpecification.Builder |
algorithmName(String algorithmName)
The name of the resource algorithm to use for the hyperparameter tuning job.
|
HyperParameterAlgorithmSpecification.Builder |
metricDefinitions(Collection<MetricDefinition> metricDefinitions)
An array of MetricDefinition objects that specify the metrics that the algorithm emits.
|
HyperParameterAlgorithmSpecification.Builder |
metricDefinitions(Consumer<MetricDefinition.Builder>... metricDefinitions)
An array of MetricDefinition objects that specify the metrics that the algorithm emits.
|
HyperParameterAlgorithmSpecification.Builder |
metricDefinitions(MetricDefinition... metricDefinitions)
An array of MetricDefinition objects that specify the metrics that the algorithm emits.
|
HyperParameterAlgorithmSpecification.Builder |
trainingImage(String trainingImage)
The registry path of the Docker image that contains the training algorithm.
|
HyperParameterAlgorithmSpecification.Builder |
trainingInputMode(String trainingInputMode)
The input mode that the algorithm supports: File or Pipe.
|
HyperParameterAlgorithmSpecification.Builder |
trainingInputMode(TrainingInputMode trainingInputMode)
The input mode that the algorithm supports: File or Pipe.
|
equalsBySdkFields, sdkFieldscopyapplyMutation, buildHyperParameterAlgorithmSpecification.Builder trainingImage(String trainingImage)
The registry path of the Docker image that contains the training algorithm. For information about Docker
registry paths for built-in algorithms, see Algorithms
Provided by Amazon SageMaker: Common Parameters. Amazon SageMaker supports both
registry/repository[:tag] and registry/repository[@digest] image path formats. For
more information, see Using
Your Own Algorithms with Amazon SageMaker.
trainingImage - The registry path of the Docker image that contains the training algorithm. For information about
Docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters. Amazon SageMaker supports both
registry/repository[:tag] and registry/repository[@digest] image path
formats. For more information, see Using Your Own Algorithms
with Amazon SageMaker.HyperParameterAlgorithmSpecification.Builder trainingInputMode(String trainingInputMode)
The input mode that the algorithm supports: File or Pipe. In File input mode, Amazon SageMaker downloads the training data from Amazon S3 to the storage volume that is attached to the training instance and mounts the directory to the Docker volume for the training container. In Pipe input mode, Amazon SageMaker streams data directly from Amazon S3 to the container.
If you specify File mode, make sure that you provision the storage volume that is attached to the training instance with enough capacity to accommodate the training data downloaded from Amazon S3, the model artifacts, and intermediate information.
For more information about input modes, see Algorithms.
trainingInputMode - The input mode that the algorithm supports: File or Pipe. In File input mode, Amazon SageMaker
downloads the training data from Amazon S3 to the storage volume that is attached to the training
instance and mounts the directory to the Docker volume for the training container. In Pipe input mode,
Amazon SageMaker streams data directly from Amazon S3 to the container.
If you specify File mode, make sure that you provision the storage volume that is attached to the training instance with enough capacity to accommodate the training data downloaded from Amazon S3, the model artifacts, and intermediate information.
For more information about input modes, see Algorithms.
TrainingInputMode,
TrainingInputModeHyperParameterAlgorithmSpecification.Builder trainingInputMode(TrainingInputMode trainingInputMode)
The input mode that the algorithm supports: File or Pipe. In File input mode, Amazon SageMaker downloads the training data from Amazon S3 to the storage volume that is attached to the training instance and mounts the directory to the Docker volume for the training container. In Pipe input mode, Amazon SageMaker streams data directly from Amazon S3 to the container.
If you specify File mode, make sure that you provision the storage volume that is attached to the training instance with enough capacity to accommodate the training data downloaded from Amazon S3, the model artifacts, and intermediate information.
For more information about input modes, see Algorithms.
trainingInputMode - The input mode that the algorithm supports: File or Pipe. In File input mode, Amazon SageMaker
downloads the training data from Amazon S3 to the storage volume that is attached to the training
instance and mounts the directory to the Docker volume for the training container. In Pipe input mode,
Amazon SageMaker streams data directly from Amazon S3 to the container.
If you specify File mode, make sure that you provision the storage volume that is attached to the training instance with enough capacity to accommodate the training data downloaded from Amazon S3, the model artifacts, and intermediate information.
For more information about input modes, see Algorithms.
TrainingInputMode,
TrainingInputModeHyperParameterAlgorithmSpecification.Builder algorithmName(String algorithmName)
The name of the resource algorithm to use for the hyperparameter tuning job. If you specify a value for this
parameter, do not specify a value for TrainingImage.
algorithmName - The name of the resource algorithm to use for the hyperparameter tuning job. If you specify a value
for this parameter, do not specify a value for TrainingImage.HyperParameterAlgorithmSpecification.Builder metricDefinitions(Collection<MetricDefinition> metricDefinitions)
An array of MetricDefinition objects that specify the metrics that the algorithm emits.
metricDefinitions - An array of MetricDefinition objects that specify the metrics that the algorithm emits.HyperParameterAlgorithmSpecification.Builder metricDefinitions(MetricDefinition... metricDefinitions)
An array of MetricDefinition objects that specify the metrics that the algorithm emits.
metricDefinitions - An array of MetricDefinition objects that specify the metrics that the algorithm emits.HyperParameterAlgorithmSpecification.Builder metricDefinitions(Consumer<MetricDefinition.Builder>... metricDefinitions)
An array of MetricDefinition objects that specify the metrics that the algorithm emits.
This is a convenience that creates an instance of theList.Builder avoiding the
need to create one manually via List#builder() .
When the Consumer completes, List.Builder#build() is called immediately and
its result is passed to #metricDefinitions(List) .metricDefinitions - a consumer that will call methods on List.Builder #metricDefinitions(List) Copyright © 2021. All rights reserved.