I am studying logistic regression classifiers for multiple classes and I could only find theoretical explanations of it. I have data like this:
features category 2, 3, 4, 5, 1 1, 2, 3, 4, 4 4, 7, 1, 4, 0 ...
I know the formula described here: Logistic regression for multiclass. However, I don't know which parameter is what or how I can implement the algorithm. I want definitions for the variables in the formula for the logistic regression classifier, and the steps to calculate the parameters.
PS 1: My data set has over 60 features and many samples actually and I want to implement algorithm by hand to learn the steps.
PS 2: I want to implement it without regularization now, my next step will be implementing it with regularization later.