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AWS::SageMaker::AutoMLJob AutoMLAlgorithmConfig - Amazon CloudFormation
SyntaxProperties
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AWS::SageMaker::AutoMLJob AutoMLAlgorithmConfig

The selection of algorithms trained on your dataset to generate the model candidates for an Autopilot job.

Syntax

To declare this entity in your Amazon CloudFormation template, use the following syntax:

JSON

{
  "AutoMLAlgorithms" : [ String, ... ]
}

YAML

  AutoMLAlgorithms: 
    - String

Properties

AutoMLAlgorithms

The selection of algorithms trained on your dataset to generate the model candidates for an Autopilot job.

  • For the tabular problem type TabularJobConfig:

    Note

    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.

    • In ENSEMBLING mode:

      • "catboost"

      • "extra-trees"

      • "fastai"

      • "lightgbm"

      • "linear-learner"

      • "nn-torch"

      • "randomforest"

      • "xgboost"

    • In HYPERPARAMETER_TUNING mode:

      • "linear-learner"

      • "mlp"

      • "xgboost"

  • For the time-series forecasting problem type TimeSeriesForecastingJobConfig:

    • Choose your algorithms from this list.

      • "cnn-qr"

      • "deepar"

      • "prophet"

      • "arima"

      • "npts"

      • "ets"

Required: Yes

Type: Array of String

Allowed values: xgboost | linear-learner | mlp | lightgbm | catboost | randomforest | extra-trees | nn-torch | fastai | cnn-qr | deepar | prophet | npts | arima | ets

Maximum: 11

Update requires: Replacement