The latest release of the tidyAML R package improves access to model predictions.
The internal_make_wflw_predictions() function now returns a single tibble containing the original data, training predictions, and testing predictions. This makes it easy to evaluate model performance without extra wrangling to extract the predictions.
Dive into the latest tidyAML release! 🌟 The spotlight is on the new .drop_na parameter, enhancing the functionality of fast_classification() and fast_regression() functions.