Github user MLnick commented on the issue:
https://github.com/apache/spark/pull/12896
Sean, let's assume we ultimately have the following available:
* `drop` - drop `NaN`
* `average` - return the average rating for new users/items
* `average_factor` - predict using the average factor vector for new
users/items
Would you suggest that this a "good" end result? Or would you suggest to
not have the `drop` option available in this list?
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