How did we arrive at the sigmoid function for calculating probabilities?
Why not use some other function that " squashes " the values to lie between [0, 1]. Maybe even just normalise the values so they all add up to one.
Data Science Stack Exchange is a question and answer site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field. It only takes a minute to sign up.
Sign up to join this communityHow did we arrive at the sigmoid function for calculating probabilities?
Why not use some other function that " squashes " the values to lie between [0, 1]. Maybe even just normalise the values so they all add up to one.
I think a really nice explanation for the popularity of the sigmoid function is in these lecture notes (http://www.stat.cmu.edu/~cshalizi/uADA/12/lectures/ch12.pdf)