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Regression results part2 #28

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mortonjt
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@mortonjt mortonjt mentioned this pull request Jul 28, 2016
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@antgonza @josenavas @wasade review? Thanks!

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Coverage Status

Coverage increased (+0.06%) to 99.468% when pulling c378361 on mortonjt:regression_results_part2 into 356896d on biocore:regression_results.

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Coverage Status

Coverage increased (+0.06%) to 99.468% when pulling f3b7d94 on mortonjt:regression_results_part2 into 356896d on biocore:regression_results.

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Coverage Status

Coverage increased (+0.06%) to 99.468% when pulling f3b7d94 on mortonjt:regression_results_part2 into 356896d on biocore:regression_results.

@mortonjt mortonjt mentioned this pull request Jul 30, 2016
if project:
# `check=True` due to type issue resolved here
# https://github.com/biocore/scikit-bio/pull/1396
c = ilr_inv(coef.values.T, basis=self.basis, check=False).T
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check=True in the comment but False in the code, which one is it?

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This is the reason why I added this comment.

Although this has been resolved in scikit-bio, it is only in the development version - which would mean that this would have to depend on the development version of scikit-bio.

I was thinking about raising an issue, and making the fix at the next release of scikit-bio. What do you think?

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That fix has been merged in skbio and you could use the dev version of skbio (in travis, setup.py, etc) until there is release, will this work?

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Ok. Then this should be ok

On Jul 31, 2016 6:38 AM, "Antonio Gonzalez" notifications@github.com
wrote:

In gneiss/_summary.py
#28 (comment):

  •    ValueError:
    
  •        Cannot perform projection into Aitchison simplex
    
  •        if `feature_names` is not specified.
    
  •    """
    
  •    self._check_projection(project)
    
  •    coef = pd.DataFrame()
    
  •    for r in self.results:
    
  •        c = r.params
    
  •        c.name = r.model.endog_names
    
  •        coef = coef.append(c)
    
  •    if project:
    
  •        # `check=True` due to type issue resolved here
    
  •        # https://github.com/biocore/scikit-bio/pull/1396
    
  •        c = ilr_inv(coef.values.T, basis=self.basis, check=False).T
    

That fix has been merged in skbio and you could use the dev version of
skbio (in travis, setup.py, etc) until there is release, will this work?


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some comments

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Coverage Status

Coverage increased (+0.05%) to 99.465% when pulling b3e11d6 on mortonjt:regression_results_part2 into 356896d on biocore:regression_results.

@mortonjt mortonjt mentioned this pull request Jul 31, 2016
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Coverage Status

Coverage increased (+0.05%) to 99.465% when pulling be4a07e on mortonjt:regression_results_part2 into 356896d on biocore:regression_results.

@antgonza antgonza merged commit 0f6a56c into biocore:regression_results Aug 2, 2016
@mortonjt mortonjt deleted the regression_results_part2 branch April 6, 2017 11:43
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3 participants