Sent out a PR to make the constructor public and leave a note in the doc: https://github.com/apache/spark/pull/3459 . If you load userFeatures and productFeatures back and want to make predictions on individual records, it might be useful to call partitionBy(...).cache() on the userFeatures and productFeatures before constructing the model. -Xiangrui
On Tue, Nov 25, 2014 at 10:36 AM, jamborta <jambo...@gmail.com> wrote: > hi Xiangrui, > > thanks. that is a very useful feature. > > any suggestion on saving/loading the model in the meantime? > > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/why-MatrixFactorizationModel-private-tp19763p19783.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
