Class: Aws::SageMaker::Types::AutoMLAlgorithmConfig
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::AutoMLAlgorithmConfig
- Defined in:
- gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb
Overview
The selection of algorithms trained on your dataset to generate the model candidates for an Autopilot job.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#auto_ml_algorithms ⇒ Array<String>
The selection of algorithms trained on your dataset to generate the model candidates for an Autopilot job.
Instance Attribute Details
#auto_ml_algorithms ⇒ Array<String>
The selection of algorithms trained on your dataset to generate the model candidates for an Autopilot job.
For the tabular problem type
TabularJobConfig
:Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode ( ENSEMBLING
orHYPERPARAMETER_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"
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 1850 class AutoMLAlgorithmConfig < Struct.new( :auto_ml_algorithms) SENSITIVE = [] include Aws::Structure end |