Class: Aws::SageMaker::Types::HyperbandStrategyConfig

Inherits:

Struct

Object
Struct
Aws::SageMaker::Types::HyperbandStrategyConfig

show all

Defined in:: gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb

Overview

The configuration for Hyperband, a multi-fidelity based hyperparameter tuning strategy. Hyperband uses the final and intermediate results of a training job to dynamically allocate resources to utilized hyperparameter configurations while automatically stopping under-performing configurations. This parameter should be provided only if Hyperband is selected as the StrategyConfig under the HyperParameterTuningJobConfig API.

Constant Summary collapse

SENSITIVE =

[]

Instance Attribute Summary collapse

#max_resource ⇒ Integer
The maximum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job.
#min_resource ⇒ Integer
The minimum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job.

Instance Attribute Details

#max_resource ⇒ `Integer`

The maximum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job. Once a job reaches the MaxResource value, it is stopped. If a value for MaxResource is not provided, and Hyperband is selected as the hyperparameter tuning strategy, HyperbandTraining attempts to infer MaxResource from the following keys (if present) in StaticsHyperParameters:

epochs
numepochs
n-epochs
n_epochs
num_epochs

If HyperbandStrategyConfig is unable to infer a value for MaxResource, it generates a validation error. The maximum value is 20,000 epochs. All metrics that correspond to an objective metric are used to derive early stopping decisions. For distributed training jobs, ensure that duplicate metrics are not printed in the logs across the individual nodes in a training job. If multiple nodes are publishing duplicate or incorrect metrics, training jobs may make an incorrect stopping decision and stop the job prematurely.

Returns:

(Integer)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 23882

class HyperbandStrategyConfig < Struct.new(
  :min_resource,
  :max_resource)
  SENSITIVE = []
  include Aws::Structure
end

#min_resource ⇒ `Integer`

The minimum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job. If the value for MinResource has not been reached, the training job is not stopped by Hyperband.