predict_regression(ds: dataset, model: model_regression[ds]
) -> (predicted: number)

Usually employed after the train_regression step. ???+ info “Prediction Model” To use this step successfully you need to make sure the dataset you’re predicting on is as similar as possible to the one the model was trained on. We check that the necessary data types and columns are present, but you should pay attention to how you handled these in the recipe the model was generated. Any changes might lead to a significant degradation in model performance.

predict_regression(ds: dataset, model: model_regression[ds]
) -> (predicted: number)

This step doesn’t expect any configuration.

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