2665
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Ran 07 Nov 2017 07:35AM UTC

Jobs 1

Files 99

Run time 4s

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Build # 2665

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push

travis-ci

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web-flow

Commit Message

Add LIME's tabular explainer to ML Workbench's explainer library. (#602)

LIME's tabular explainer requires a training set to decide the distribution of the perturbed value. That's why "explain_tabular" takes a "trainset" dataframe parameter. When we implement "%%ml explain" for tabular, we will take CSV or BigQuery Dataset as parameter and construct a dataframe from it for users.

Run Details

5317 of 6818 relevant lines covered (77.98%)

0.78 hits per line

Uncovered Existing Lines

Lines	Coverage	∆	File
7	100.0		.tox/coveralls/lib/python2.7/site-packages/google/datalab/contrib/mlworkbench/_prediction_explainer.py

Jobs

ID	Job ID	Ran	Files	Coverage
4	2665.4 (TOX_ENV=coveralls)	07 Nov 2017 07:35AM UTC	0	77.98	Travis Job 2665.4

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