Github user sryza commented on the pull request:
https://github.com/apache/spark/pull/4460#issuecomment-74614834
This is perhaps contained in @jkbradley 's question, but how does this work
with features that are represented with multiple entries in the feature vector
- e.g. when we're doing a one-hot encoding. With a one-hot encoding is each
category its own feature or can a feature span multiple indices in the vector?
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