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[MRG+2] Minor changes in ridge float64 upcasting #9125

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Merged
merged 2 commits into from
Jun 15, 2017

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massich
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@massich massich commented Jun 14, 2017

Addresses comments in #9033 that got in after merge
cc: @ogrisel

@jnothman jnothman added this to the 0.19 milestone Jun 14, 2017
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ogrisel commented Jun 15, 2017

Thanks!

@ogrisel ogrisel merged commit 7ee4dc8 into scikit-learn:master Jun 15, 2017
@massich massich deleted the is/8769_ridge branch June 15, 2017 11:20
dmohns pushed a commit to dmohns/scikit-learn that referenced this pull request Aug 7, 2017
Also invert the solvers check to highlight the fact that new solver should support both 32 bit and 64 bit float by default from now on.
dmohns pushed a commit to dmohns/scikit-learn that referenced this pull request Aug 7, 2017
Also invert the solvers check to highlight the fact that new solver should support both 32 bit and 64 bit float by default from now on.
NelleV pushed a commit to NelleV/scikit-learn that referenced this pull request Aug 11, 2017
Also invert the solvers check to highlight the fact that new solver should support both 32 bit and 64 bit float by default from now on.
paulha pushed a commit to paulha/scikit-learn that referenced this pull request Aug 19, 2017
Also invert the solvers check to highlight the fact that new solver should support both 32 bit and 64 bit float by default from now on.
AishwaryaRK pushed a commit to AishwaryaRK/scikit-learn that referenced this pull request Aug 29, 2017
Also invert the solvers check to highlight the fact that new solver should support both 32 bit and 64 bit float by default from now on.
maskani-moh pushed a commit to maskani-moh/scikit-learn that referenced this pull request Nov 15, 2017
Also invert the solvers check to highlight the fact that new solver should support both 32 bit and 64 bit float by default from now on.
jwjohnson314 pushed a commit to jwjohnson314/scikit-learn that referenced this pull request Dec 18, 2017
Also invert the solvers check to highlight the fact that new solver should support both 32 bit and 64 bit float by default from now on.
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3 participants