Forecasting: Principles and Practice, the Pythonic Way: LinearRegression() object library definition

[KonstantinosTsoumas]

Dear writers,

Let me use the first main sentence to express my gratitude for your work and keeping it this resource widely available to the general public.

A small detail in Chapter 5 of FPPPY, specifically section 5.1, may help others avoid some early confusion.

The example uses LinearRegression() inside the SklearnModel() wrapper from statsforecast. In the book, this LinearRegression() comes from fpppy.models (also visible from the library imports found at the top of the page), but many readers may assume it refers to the scikit-learn version. Using scikit-learn’s LinearRegression leads to an error, since it doesn’t include the add_prediction_intervals attribute.

Proposal: A brief note in the text clarifying that LinearRegression() comes from fpppy.models would help readers avoid this confusion.

Hopefully this note saves someone a bit of troubleshooting time!

[mergenthaler]

Thanks @KonstantinosTsoumas for the suggestion. We will definitely try to make that part more clear.

[KonstantinosTsoumas]

Thanks Max!