predict_regression
Use a pretrained model to predict new numerical data.
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.
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