Many thanks. Will try it.
On Thu, Jun 8, 2017 at 8:41 AM Nick Pentreath
wrote:
> Spark 2.2 will support the recommend-all methods in ML.
>
> Also, both ML and MLLIB performance has been greatly improved for the
> recommend-all methods.
>
> Perhaps you could check out the current RC of Spark 2.2 o
Spark 2.2 will support the recommend-all methods in ML.
Also, both ML and MLLIB performance has been greatly improved for the
recommend-all methods.
Perhaps you could check out the current RC of Spark 2.2 or master branch to
try it out?
N
On Thu, 8 Jun 2017 at 17:18, Sahib Aulakh [Search] <
s
Many thanks for your response. I already figured out the details with some
help from another forum.
1. I was trying to predict ratings for all users and all products. This
is inefficient and now I am trying to reduce the number of required
predictions.
2. There is a nice example burie
1. could you give job, stage & task status from Spark UI? I found it
extremely useful for performance tuning.
2. use modele.transform for predictions. Usually we have a pipeline for
preparing training data, and use the same pipeline to transform data you
want to predict could give us the predictio
