​
tune_metric: (auroc, acc, mae, f1, loss, ap_macro) (Optional)

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Description

Specifies a metric that you want AutoML to use for optimizing training experiments.

  • The tune metric needs to be present in the list of metrics in the model plan.
  • The tune metric is used for early stopping and model selection.
  • For available metrics, please refer to Kumo Evaluation Metrics.

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Supported Task Types

  • All

​
Default Values

run_modeDefault Value
FASTInferred
NORMALInferred
BESTInferred

​
tune_metric: (auroc, acc, mae, f1, loss, ap_macro) (Optional)

​
Description

Specifies a metric that you want AutoML to use for optimizing training experiments.

  • The tune metric needs to be present in the list of metrics in the model plan.
  • The tune metric is used for early stopping and model selection.
  • For available metrics, please refer to Kumo Evaluation Metrics.

​
Supported Task Types

  • All

​
Default Values

run_modeDefault Value
FASTInferred
NORMALInferred
BESTInferred