{"comment":{"user":{"id":335383,"login":"larsmans","url":"https://api.github.com/users/larsmans","avatar_url":"https://secure.gravatar.com/avatar/56e17cbc8c5ea5b37d67018db6d030b0?d=https://a248.e.akamai.net/assets.github.com%2Fimages%2Fgravatars%2Fgravatar-140.png","gravatar_id":"56e17cbc8c5ea5b37d67018db6d030b0"},"created_at":"2011-12-20T12:39:46Z","path":"scipy/misc/common.py","updated_at":"2011-12-20T12:39:46Z","id":809181,"html_url":"https://github.com/larsmans/scipy/commit/ebb2e71915#commitcomment-809181","position":42,"body":"Eh, yeah, `logaddexp`, not `logsumexp`. The scikit-learn community decided to replace `logaddexp.reduce` by this algorithm some time ago, which solved some numerical stability issues. I'm not sure on which NumPy version those occurred.","url":"https://api.github.com/repos/larsmans/scipy/comments/809181","line":47,"commit_id":"ebb2e71915ff3644bd55dcb010d06a0197ee2bad"}}