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googledatalab / pydatalab / 2906
78%

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DEFAULT BRANCH: master
Ran 28 Nov 2017 10:21PM UTC
Jobs 1
Files 101
Run time 12s
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A few changes to make a further step towards ml workbench extensibility. (#623)

1. Directory structure change and renaming.
2. Support "multi_hot" transform. This is important because: a. our DNN tensorflow model supports bag_of_words, but we always force an embedding layer because DNN does not work with wide features. In some cases where the value is multi-valued categories, we don't want embeddings. b. It will also be supported by other types of models such as xgboost.

5392 of 6931 relevant lines covered (77.8%)

0.78 hits per line

Jobs
ID Job ID Ran Files Coverage
4 2906.4 (TOX_ENV=coveralls) 28 Nov 2017 10:21PM UTC 0
77.8
Travis Job 2906.4
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