A man in this community give me a video:
https://www.youtube.com/watch?v=sPhyePwo7FA. I've got a same question in
this community and other guys helped me to solve this problem. I'm trying
to load MatrixFactorizationModel from object file, but compiler said that,
I can not create object because the constructor is private. To solve this,
I put my new object to same package as MatrixFactorizationModel. Luckly it
works.
On Wed, Aug 13, 2014 at 9:20 PM, Christopher Nguyen <c...@adatao.com> wrote:
> Lance, some debugging ideas: you might try model.predict(RDD[Vector]) to
> isolate the cause to serialization of the loaded model. And also try to
> serialize the deserialized (loaded) model "manually" to see if that throws
> any visible exceptions.
>
> Sent while mobile. Pls excuse typos etc.
> On Aug 13, 2014 7:03 AM, "lancezhange" <lancezha...@gmail.com> wrote:
>
>> my prediction codes are simple enough as follows:
>>
>> *val labelsAndPredsOnGoodData = goodDataPoints.map { point =>
>> val prediction = model.predict(point.features)
>> (point.label, prediction)
>> }*
>>
>> when model is the loaded one, above code just can't work. Can you catch
>> the
>> error?
>> Thanks.
>>
>> PS. i use spark-shell under standalone mode, version 1.0.0
>>
>>
>>
>>
>> --
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>>
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--
Thu.
