Generalize text tutorial to multiclass datasets #229
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Codecov Report
@@ Coverage Diff @@
## master #229 +/- ##
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Coverage 95.82% 95.82%
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Files 12 12
Lines 911 911
Branches 180 180
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Hits 873 873
Misses 14 14
Partials 24 24 Continue to review full report at Codecov.
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less likely to be missed if users skip the previous cell to load their own datasets
weijinglok
reviewed
Apr 18, 2022
jwmueller
approved these changes
Apr 19, 2022
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The current training model assumes that the dataset has binary labels. This PR tweaks the model setup to generalize to datasets where there are >2 classes. As part of this change, the ROC-AUC score has been replaced with Log Loss.