Comments (5)
Hi @iclucho ! Both objects are created with the same code?
If so my guess it's that they're different versions of gpfit; we added the FitConstraintSet
class pretty recently, and it looks like that's what you're seeing in the former, while the latter is probably a standard ArrayConstraintSet
. What does type(smafit)
show for each of them?
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Hi bqpd. Thanks for your reply.
Indeed, both objects are generated with the same code. At the moment I only have access to the "bad" machine. There, when typing type(smafit)
, I get:
<class 'gpfit.fit_constraintset.FitCS'>
I recloned the gpfit version today to see if it would make a difference but so far nothing.
EDIT: Nevermind, I started python in a different terminal and the newly cloned version also contains the fitdata attribute.
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Great! Yeah, looks like that's the newest version: https://github.com/hoburg/gpfit/blob/master/gpfit/fit_constraintset.py#L15
It might not be on pypi yet, so if you installed the 'bad' version with pip install gpfit
, that could explain it.
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Sorry for the version confusion! GPfit hasn't had a proper owner/maintainer for a year; I'll hopefully be stepping to get it better documented /organized / etc this Fall.
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Created #92 to add to PyPI
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Related Issues (20)
- Make GPfit object oriented HOT 1
- Unit tests fail for pip-installed gpfit HOT 21
- Update how random seeds are set HOT 3
- Save random seed with fit HOT 2
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- Remove duplication of _Fit.params and _Fit.parameters HOT 3
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- Errors should be given in percentage terms HOT 7
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- Ali and I are breaking the multi-dimensional fits HOT 12
- Not compatible with pandas >= 0.19.0 HOT 4
- modularized tests through JenkinsGPkit HOT 11
- too small a value error in "min(exp(B*alpha))" while running ISMA fit HOT 11
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- Add GPfit to PyPI HOT 2
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- v0.1 refactor HOT 10
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