com>]
Sent: Wednesday, January 07, 2015 10:54 PM Eastern Standard Time
To: user@spark.apache.org
Subject: Re: MatrixFactorizationModel serialization
I save and reload model like this:
val bestModel = ALS.train(training, rank, numIter, lambda)
bestModel.get.userFeatures.saveAsObjectFile
n$.main(ModelDeserialization.scala:138)
at
com.ft.jobs.test.ModelDeserialization.main(ModelDeserialization.scala)
... 5 more
Have fixed this issue?
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/MatrixFactorizationModel-serialization-tp183
Serializable like a Java object? no, it's an RDD. A factored matrix
model is huge, unlike most models, and is not a local object. You can
of course persist the RDDs to storage manually and read them back.
On Fri, Nov 7, 2014 at 11:33 PM, Dariusz Kobylarz
wrote:
> I am trying to persist MatrixFact
I am trying to persist MatrixFactorizationModel (Collaborative Filtering
example) and use it in another script to evaluate/apply it.
This is the exception I get when I try to use a deserialized model instance:
Exception in thread "main" java.lang.NullPointerException
at
org.apache.spark.rdd
