{"action":"published","release":{"url":"https://api.github.com/repos/samuelstjean/nlsam/releases/3435646","assets_url":"https://api.github.com/repos/samuelstjean/nlsam/releases/3435646/assets","upload_url":"https://uploads.github.com/repos/samuelstjean/nlsam/releases/3435646/assets{?name,label}","html_url":"https://github.com/samuelstjean/nlsam/releases/tag/v0.3","id":3435646,"tag_name":"v0.3","target_commitish":"master","name":"0.3 - 2016-05-13","draft":false,"author":{"login":"samuelstjean","id":3030760,"avatar_url":"https://avatars.githubusercontent.com/u/3030760?v=3","gravatar_id":"","url":"https://api.github.com/users/samuelstjean","html_url":"https://github.com/samuelstjean","followers_url":"https://api.github.com/users/samuelstjean/followers","following_url":"https://api.github.com/users/samuelstjean/following{/other_user}","gists_url":"https://api.github.com/users/samuelstjean/gists{/gist_id}","starred_url":"https://api.github.com/users/samuelstjean/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/samuelstjean/subscriptions","organizations_url":"https://api.github.com/users/samuelstjean/orgs","repos_url":"https://api.github.com/users/samuelstjean/repos","events_url":"https://api.github.com/users/samuelstjean/events{/privacy}","received_events_url":"https://api.github.com/users/samuelstjean/received_events","type":"User","site_admin":false},"prerelease":false,"created_at":"2016-06-13T21:38:30Z","published_at":"2016-06-13T21:48:46Z","assets":[],"tarball_url":"https://api.github.com/repos/samuelstjean/nlsam/tarball/v0.3","zipball_url":"https://api.github.com/repos/samuelstjean/nlsam/zipball/v0.3","body":"# Changelog\r\n\r\n- sh_smooth now uses order 8 by default and a regularized pseudo-inverse for the fit.\r\nThe data is also internally converted to float32 to prevent overflowing on uint dtypes. Thanks to Felix Morency for reporting.\r\n- Updated nibabel min version to 2.0, as older version do not have the cache unload function. Thanks to Rutger Fick for reporting.\r\n- Scripts are now more memory friendly with nibabel uncaching.\r\n- The example was moved to a subfolder with an available test dataset.\r\n- Fix multiprocessing freeze_support in windows binaries.\r\n- Scipy >= 0.14 is now required to efficiently deal with sparse matrices."}}
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