Allow where clauses on direct features in Deep Feature Synthesis #279
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Codecov Report
@@ Coverage Diff @@
## master #279 +/- ##
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+ Coverage 94.45% 94.45% +<.01%
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Files 71 71
Lines 7698 7705 +7
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+ Hits 7271 7278 +7
Misses 427 427
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This fixed my issue! Thank you so much for the very quick help, this is really amazing! |
rwedge
reviewed
Oct 12, 2018
| @@ -34,6 +34,8 @@ def make_ecommerce_files(with_integer_time_index=False, base_path=None, file_loc | |||
| product_df = pd.DataFrame({'id': ['Haribo sugar-free gummy bears', 'car', | |||
| 'toothpaste', 'brown bag', 'coke zero', | |||
| 'taco clock'], | |||
| 'department': ["food", "electronics", "food", | |||
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Maybe "health" for the toothpaste's department type?
rwedge
reviewed
Oct 12, 2018
| @@ -544,6 +549,7 @@ def test_where_different_base_feats(es): | |||
| assert hashed not in where_feats | |||
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| # TODO: not clear what this tests | |||
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Should we add this as a backlog issue?
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@rwedge addressed your comments. does this look good to merge? |
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Looks good |
Merged
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DFS will automatically add where clauses to aggregation features based on the values in the
interesting_valuesproperty of another variable within that entity.This PR allows DFS to add where clauses using the interesting values of a direct feature. To accomplish this I added a variable property to direct features that used to only be defined for identity features.
First reported by @favstats on stackoverflow: https://stackoverflow.com/questions/52673694/specifying-interesting-variables-with-featuretools-does-not-work