Question in regards to weights magnitude in Calibration Map - Linear parametrisation 

Hi, great paper on NeuralPs first of all. 

I was reading the paper and found that we assume the W matrix has the following property: 

W_ij = Alpha_ij - 1 

We know that Alpha_ij > 0 from Dirchilet,  and thus W_ij must be higher than -1, I was wondering how this constraint was reflected in the multinomial.py script. (Let me know if this was the wrong script enforcing that 