krvarshney
krvarshney
This is a good suggestion. The benefit function in the original paper by Speicher et al. might not be the best in many cases: taking 2 for false favorable labels...
we'd love it if you did
I don't think that returning 0 when there is a divide by zero error is the correct solution. https://en.wikipedia.org/wiki/Division_by_zero
The Theil Index is the Generalized Entropy Index with alpha = 1. The Generalized Entropy Index is implemented in the standard way using the equation https://wikimedia.org/api/rest_v1/media/math/render/svg/844bcf9d016e032d7e03f0de29b7733e36f0b8a9.
Extending for multiclass and/or regression will be great. Please go ahead. We can discuss your solution through a pull request once you've made it.