We faced a similar problem between architectures (32/64bit) with a failing test in imbalanced-learn. Guillaume posted details here https ://github.com/scikit-learn/scikit-learn/issues/8853 <https://github.com/scikit-learn/scikit-learn/issues/8853>
Regards, Chris On Saturday, May 20, 2017, Jason Rudy <jcr...@gmail.com> wrote: > I'm pushing to get py-earth ready for a release, but I'm having an issue > with the check_estimator function on 32 bit windows machines. Here is a > link to the failing build on appveyor: > > https://ci.appveyor.com/project/jcrudy/py-earth/build/job/21r6838yh1bgwxw4 > > It appears that array conversion is producing some small differences that > make check_estimators_data_not_an_array fail. I'll probably have to set > up a 32 bit environment with a debugger and drill down to find the bug, but > I'm wondering if anybody here has tips or experience that might help me > guess the problem without doing that. I am pretty ignorant about numpy > type standards and conversions, so even something that seems obvious to you > might help me. > > Best, > > Jason >
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