that works. is there a better way in spark? this seems like the most common feature for any machine learning work - to be able to save your model after training it and load it later.
On Fri, Nov 7, 2014 at 2:30 AM, Evan R. Sparks <evan.spa...@gmail.com> wrote: > Plain old java serialization is one straightforward approach if you're in > java/scala. > > On Thu, Nov 6, 2014 at 11:26 PM, ll <duy.huynh....@gmail.com> wrote: > >> what is the best way to save an mllib model that you just trained and >> reload >> it in the future? specifically, i'm using the mllib word2vec model... >> thanks. >> >> >> >> -- >> View this message in context: >> http://apache-spark-user-list.1001560.n3.nabble.com/word2vec-how-to-save-an-mllib-model-and-reload-it-tp18329.html >> Sent from the Apache Spark User List mailing list archive at Nabble.com. >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >> For additional commands, e-mail: user-h...@spark.apache.org >> >> >
