This function helps to average the predicted residuals based on certain criteria.
The default function is averaging.
TODO: we will be averaging residuals based on ML precision for each residual prediction.
Usage
debias.average(residuals, by_product_accuracy = NULL)
Arguments
- residuals
vector: predicted residuals across products.
- by_product_accuracy
vector: the out-of-sample RMSE for each product.
Value
numeric: an averaged residual.