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@chamorajg chamorajg commented Aug 21, 2019

Added forward_features function inside estimator class to use tensorflow's forward_features inside adanet. Closes #114 @cweill

@googlebot googlebot added the cla: yes Contributor signed Google CLA label Aug 21, 2019
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Codecov Report

Merging #119 into master will decrease coverage by 0.11%.
The diff coverage is 20%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #119      +/-   ##
==========================================
- Coverage   88.94%   88.82%   -0.12%     
==========================================
  Files          31       31              
  Lines        3011     3016       +5     
  Branches      475      476       +1     
==========================================
+ Hits         2678     2679       +1     
- Misses        244      248       +4     
  Partials       89       89
Impacted Files Coverage Δ
adanet/core/estimator.py 90.68% <20%> (-0.62%) ⬇️

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@EugenHotaj EugenHotaj requested a review from cweill October 25, 2019 20:23
@chamorajg chamorajg closed this Nov 10, 2019
@chamorajg chamorajg reopened this Nov 12, 2019
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Codecov Report

❌ Patch coverage is 20.00000% with 4 lines in your changes missing coverage. Please review.
✅ Project coverage is 88.82%. Comparing base (88daf39) to head (f03fe72).
⚠️ Report is 107 commits behind head on master.

Files with missing lines Patch % Lines
adanet/core/estimator.py 20.00% 4 Missing ⚠️
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Additional details and impacted files
@@            Coverage Diff             @@
##           master     #119      +/-   ##
==========================================
- Coverage   88.94%   88.82%   -0.12%     
==========================================
  Files          31       31              
  Lines        3011     3016       +5     
  Branches      475      476       +1     
==========================================
+ Hits         2678     2679       +1     
- Misses        244      248       +4     
  Partials       89       89              

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Allow one to forward features to predictions

4 participants