Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/4735#issuecomment-75869252
Is LabelIndexer going to be different from FeatureIndexer. We will need a
transformer to index features as well. I've been planning to revive my old PR
for DatasetIndexer which was headed this way:
[https://github.com/apache/spark/pull/3000], but it would be good not to
duplicate efforts.
If you want to merge the 2, that would be great, or I could push an update.
The main thing I liked about DatasetIndexer is that it could be used to choose
which features to treat as continuous vs. categorical based on a maxCategories
threshold. Choosing automatically helps users to avoid having to hand-pick
columns as categorical vs. continuous.
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