I know inv_logit(x) = exp(x) / 1 + exp(x). Is there a multivariate version for
p0 = 1 / 1 + sum(exp(x_i))
p1 = exp(x1) / 1 + sum(exp(x_i))
p2 = exp(x2) / 1 + sum(exp(x_i))
and so on
I know inv_logit(x) = exp(x) / 1 + exp(x). Is there a multivariate version for
p0 = 1 / 1 + sum(exp(x_i))
p1 = exp(x1) / 1 + sum(exp(x_i))
p2 = exp(x2) / 1 + sum(exp(x_i))
and so on
Softmax
That’s so cool. Thanks!
It’s also built into our categorical_logit
the same way we can take logit-scaled parameters in bernoulli_logit
.