Bowles_4.4_rocks_wine_abalone: Extensions to Linear Regression with Numeric Input

Listing 4-4: Converting a Classifi cation Problem to an Ordinary Regression Problem by Assigning Numeric Values to Binary Labels

• Figure 4-7: Coefficient curves for rocks versus mines classification problem solved by converting to labels

Listing 4-5: Basis Expansion for Wine Taste Prediction

• Figure 4-8: Functions generated to expand wine attribute session

Listing 4-6: Coding Categorical Variable for Penalized Linear Regression - Abalone Data—larsAbalone.py