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From Xi Shen <>
Subject How to reuse a ML trained model?
Date Sat, 07 Mar 2015 10:10:45 GMT

I checked a few ML algorithms in MLLib.

I could not find a way to save the trained model. Does this means I have to
train my model every time? Is there a more economic way to do this?

I am thinking about something like:"hdfs://path/to/hdfs")

Then, next I can do:

val model = Model.createFrom("hdfs://...")

I am new to spark, maybe there are other ways to persistent the model?


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