issue_comments: 359570153
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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https://github.com/pydata/xarray/issues/1850#issuecomment-359570153 | https://api.github.com/repos/pydata/xarray/issues/1850 | 359570153 | MDEyOklzc3VlQ29tbWVudDM1OTU3MDE1Mw== | 1386642 | 2018-01-22T21:25:53Z | 2018-01-22T21:26:31Z | CONTRIBUTOR | Thanks for starting this issue @shoyer. One thing I would be interested to know is how sklearn and tensorflow balance code-quality and API consistency with low barrier to entry. For instance, most of the sklearn contrib packages provide classes which inherit from sklearn's |
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