In 1.3, you can use model.save(sc, "hdfs path"). You can check the
code examples here:
http://spark.apache.org/docs/latest/mllib-collaborative-filtering.html#examples.
-Xiangrui

On Fri, Apr 3, 2015 at 2:17 PM, Justin Yip <[email protected]> wrote:
> Hello Zhou,
>
> You can look at the recommendation template of PredictionIO. PredictionIO is
> built on the top of spark. And this template illustrates how you can save
> the ALS model to HDFS and the reload it later.
>
> Justin
>
>
> On Fri, Apr 3, 2015 at 9:16 AM, S. Zhou <[email protected]> wrote:
>>
>> I am new to MLib so I have a basic question: is it possible to save MLlib
>> models (particularly CF models) to HDFS and then reload it later? If yes,
>> could u share some sample code (I could not find it in MLlib tutorial).
>> Thanks!
>
>

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