Adding betainc #129085
Labels
module: numpy
Related to numpy support, and also numpy compatibility of our operators
module: special
Functions with no exact solutions, analogous to those in scipy.special
triaged
This issue has been looked at a team member, and triaged and prioritized into an appropriate module
馃殌 The feature, motivation and pitch
betainc
function is needed to calculate the cumulative density function of Student's t-distribution etc, which will be useful for the maximum liklihood estimation of probability density functions.Ref.
#58700
scipy doc
https://docs.scipy.org/doc/scipy/reference/generated/scipy.special.betainc.html
Alternatives
No response
Additional context
The PR #58700 is for an old code base, which cannot be merged as is and seems to be modified.
However, there are many useful components and we would like to implement betainc based on this.
Also, implementation of ohter special functions like
zeta
is of as a reference.I would like to implement it with these as a starting point, but would appreciate any advice.
While tensorflow and jax have it, I want to use pytorch, and so would like to try this implementation.
cc @mruberry @rgommers @kshitij12345
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