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 > >
