Ah~it is serializable. Thanks!
On Sat, Mar 7, 2015 at 10:59 PM Ekrem Aksoy <ekremak...@gmail.com> wrote: > You can serialize your trained model to persist somewhere. > > Ekrem Aksoy > > On Sat, Mar 7, 2015 at 12:10 PM, Xi Shen <davidshe...@gmail.com> wrote: > >> Hi, >> >> I checked a few ML algorithms in MLLib. >> >> >> https://spark.apache.org/docs/0.8.1/api/mllib/index.html#org.apache.spark.mllib.classification.LogisticRegressionModel >> >> 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: >> >> model.run(...) >> model.save("hdfs://path/to/hdfs") >> >> Then, next I can do: >> >> val model = Model.createFrom("hdfs://...") >> model.predict(vector) >> >> I am new to spark, maybe there are other ways to persistent the model? >> >> >> Thanks, >> David >> >> >
