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
