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From Xiangrui Meng <men...@gmail.com>
Subject Re: why MatrixFactorizationModel private?
Date Tue, 25 Nov 2014 18:47:42 GMT
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 <jamborta@gmail.com> wrote:
> hi Xiangrui,
>
> thanks. that is a very useful feature.
>
> any suggestion on saving/loading the model in the meantime?
>
>
>
>
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