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Handle no child data when calculating aggregation features with multiple arguments #264

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merged 6 commits into from Sep 20, 2018

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kmax12
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@kmax12 kmax12 commented Sep 19, 2018

This pull requests updates how we handle calculating aggregation features when there is no child data. We fixed this for aggregations with where features in #258, but this fixes it for when there are multiple arguments to the agg feature.

This PR fixes the second issue reported in #252

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codecov-io commented Sep 19, 2018

Codecov Report

Merging #264 into master will increase coverage by <.01%.
The diff coverage is 100%.

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@@            Coverage Diff             @@
##           master     #264      +/-   ##
==========================================
+ Coverage   94.14%   94.15%   +<.01%     
==========================================
  Files          71       71              
  Lines        7638     7649      +11     
==========================================
+ Hits         7191     7202      +11     
  Misses        447      447
Impacted Files Coverage Δ
...turetools/computational_backends/pandas_backend.py 94.13% <100%> (+0.06%) ⬆️
...tests/computational_backend/test_pandas_backend.py 100% <100%> (ø) ⬆️

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@kmax12 kmax12 requested a review from rwedge September 20, 2018 18:30

# cutoff time after all rows, but where clause filters all rows
ft.calculate_feature_matrix(entityset=es, features=[count], cutoff_time=pd.Timestamp("1/4/2018"))
ft.calculate_feature_matrix(entityset=es, features=[count, count_where, trend], cutoff_time=pd.Timestamp("1/4/2018"))
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Could we add assertions here to confirm we get expected feature values from these matrices?

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done

@kmax12 kmax12 merged commit 88b57d0 into master Sep 20, 2018
@kmax12 kmax12 mentioned this pull request Sep 28, 2018
@kmax12 kmax12 deleted the handle-empty-baseframe branch October 2, 2018 21:41
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3 participants