Thanks, Sebastian. I'll consider using that platform check trick to disable the test for 32 bit windows. It is a small difference, and perhaps not worth all the effort of tracking down. It's part of check_estimator, so I'd have to disable the entirety of check_estimator I think. However, testing on 32 bit windows is probably not terribly important.
On Fri, May 19, 2017 at 3:22 PM, Sebastian Raschka <se.rasc...@gmail.com> wrote: > > I'll probably have to set up a 32 bit environment with a debugger and > drill down to find the bug, > > Must not be a bug but can simply be due to floating point imprecision. If > you checked that this is expected behavior, you could you do sth like > > import numpy.distutils.system_info as sysinfo > if sysinfo.platform_bits == 32: > numpy.testing.assert_array_almost_equal(..., precision=0) > else: > numpy.testing.assert_array_almost_equal(..., precision=2) > > or sth like that? > > Best, > Sebastian > > > On May 19, 2017, at 6:10 PM, 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 > > _______________________________________________ > > scikit-learn mailing list > > scikit-learn@python.org > > https://mail.python.org/mailman/listinfo/scikit-learn > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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