This class is not going to be serializable, as it contains huge RDDs.
Even if the right constructor existed the RDDs inside would not
serialize.
On Mon, Dec 15, 2014 at 4:33 PM, Albert Manyà <alber...@eml.cc> wrote:
> Hi all.
>
> I'm willing to serialize and later load a model trained using mllib's
> ALS.
>
> I've tried usign Java serialization with something like:
>
> val model = ALS.trainImplicit(training, rank, numIter, lambda, 1)
> val fos = new FileOutputStream("model.bin")
> val oos = new ObjectOutputStream(fos)
> oos.writeObject(bestModel.get)
>
> But when I try to deserialize it using:
>
> val fos = new FileInputStream("model.bin")
> val oos = new ObjectInputStream(fos)
> val model = oos.readObject().asInstanceOf[MatrixFactorizationModel]
>
> I get the error:
>
> Exception in thread "main" java.io.IOException: PARSING_ERROR(2)
>
> I've also tried to serialize MatrixFactorizationModel's both RDDs
> (products and users) and later create the MatrixFactorizationModel by
> hand passing the RDDs by constructor but I get an error cause its
> private:
>
> Error:(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
>
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