# fa.bianp.net

TL;DR: I've implemented a logistic ordinal regression or proportional odds model. Here is the Python code

The logistic ordinal regression model, also known as the proportional odds was introduced in the early 80s by McCullagh [1, 2] and is a generalized linear model specially tailored for the case of …

Note: this post contains a fair amount of LaTeX, if you don't visualize the math correctly come to its original location

In machine learning it is common to formulate the classification task as a minimization problem over a given loss function. Given data input data $(x_1, ..., x_n)$ and associated labels …