Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/3637#issuecomment-66380629
Oh, apologies for being unclear. I meant this division:
* Typed interface: train(RDD[LabeledPoint]), predict(Vector)
* SchemaRDD interface: fit(SchemaRDD), transform(SchemaRDD)
I agree metadata is less of an issue for Models since they can get metadata
from their parent Estimator. The main issue is specifying metadata for
Estimators.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
