Closed as not planned
Description
One-hot is a very common array creation function in machine learning. It might be worth considering its addition.
Various implementations have different semantics:
- pytorch (Optionally infers the number of classes, cannot select axis)
- tensorflow (can choose on and off values)
- jax
From an organization standpoint, I think it probably would belong alongside other creation functions like eye
.
Alternatively, one-hot could be generalized to a broadcastable unit-impulse, which is already in scipy. Whereas one-hot chooses one element in a vector to be on, unit-impulse chooses one element in an array to be on.
One-hot is a generalization of the standard (elementary) basis vector that is sometimes requested—a generalization because it supports broadcasting.