In that case, what is the strategy to train a model in some background
batch process and make recommendations for some other service in real
time? Run both processes in the same spark cluster?
Thanks.
--
Albert Manyà
alber...@eml.cc
On Mon, Dec 15, 2014, at 05:58 PM, Sean Owen wrote
:(58, 17) constructor MatrixFactorizationModel in class
MatrixFactorizationModel cannot be accessed in object RecommendALS
val model = new MatrixFactorizationModel (8, userFeatures,
productFeatures)
Any ideas?
Thanks!
--
Albert Manyà
alber...@eml.cc
s compiled against such an old version of
httpclient, I see in the project dependencies that amazonaws 1.9.10
depends on httclient 4.3... It is spark who is compiled against an old
version of amazonaws?
Thanks.
--
Albert Manyà alber...@eml.cc
On Fri, Dec 12, 2014, at 09:27 AM, Akhil Das wrote:
&
pped the generated jar assembly and searched for the
HttpConnectionParams.class and I've found it out under
org/apache/http/params and having the following signature for
setSoKeepalive:
public static void setSoKeepalive(HttpParams params, boolean
enableKeepalive)
At this point I&
