I know that this haven't been accepted yet but any news on it ? How can we
cache the product and user factor ?
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The partitioner is not saved with the RDD. So when you load the model
back, we lose the partitioner information. You can call repartition on
the user/product factors and then create a new
MatrixFactorizationModel object using the repartitioned RDDs. It would
be useful to create a utility method for
