Hello!
I’m designing a neural network and one part of it’s a selector: depending of one value p between 0 and 1 choose between A or B.
To do so I was planning to use a natural generalization of the sigmoid function that just multiplies the input by a  scalar k, that is, 
Unfortunately I haven’t found something like that in the API and I was wondering if there is any reason for that? I was about to post an issue in github but I’ve decided to ask here first.
Greetings