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Ran 07 Nov 2017 07:35AM UTC

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Committed 07 Nov 2017 07:18AM UTC coverage: 77.985% (+0.2%) from 77.825%

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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.

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googledatalab / pydatalab / 2665 / 4 78% master: 78%

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googledatalab / pydatalab / 2665 / 4
78%
master: 78%

README BADGES
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