Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/3637#issuecomment-66377906
Pardon, which part are you referring to when you say the typed interface?
The metadata about what is a categorical feature, what the values are, etc? I
assumed that this information is in part derived from what's in the `SchemaRDD`
-- a string must be categorical, for example. The information would live in a
`Model`, either implicitly explicitly: logistic regression always knows its
target is categorical; may need to remember how to treat the other features
when it receives new data. And to some degree this info would be injected as
parameters to an `Estimator` somehow.
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