Class: Aws::SageMaker::Types::AutoMLAlgorithmConfig

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::AutoMLAlgorithmConfig

Includes:

Aws::Structure

Defined in:

lib/aws-sdk-sagemaker/types.rb

Overview

The collection of algorithms run on a dataset for training the model candidates of an Autopilot job.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #auto_ml_algorithms ⇒ Array<String>

  The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.

Instance Attribute Details

#auto_ml_algorithms ⇒ Array<String>

The selection of algorithms run on a dataset to train the model candidates of an Autopilot job.

<note markdown=“1”> Selected algorithms must belong to the list corresponding to the training mode set in [AutoMLJobConfig.Mode] (‘ENSEMBLING` or `HYPERPARAMETER_TUNING`). Choose a minimum of 1 algorithm.

</note>

• In ‘ENSEMBLING` mode:

  • “catboost”

  • “extra-trees”

  • “fastai”

  • “lightgbm”

  • “linear-learner”

  • “nn-torch”

  • “randomforest”

  • “xgboost”

• In ‘HYPERPARAMETER_TUNING` mode:

  • “linear-learner”

  • “mlp”

  • “xgboost”

[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLJobConfig.html#sagemaker-Type-AutoMLJobConfig-Mode

Returns:

• (Array<String>)

# File 'lib/aws-sdk-sagemaker/types.rb', line 1709

class AutoMLAlgorithmConfig < Struct.new(
  :auto_ml_algorithms)
  SENSITIVE = []
  include Aws::Structure
end