Re: Velox Model Server

ne including the model server >>>>> component at Spark Summit was really cool. >>>>> >>>>> I was wondering if the Model Server component is based upon Velox or >>>>> it uses a completely different architecture. >>>>> >>>>> https://github.com/amplab/velox-modelserver >>>>> >>>>> We are looking for an open source version of model server to build >>>>> upon. >>>>> >>>>> Thanks. >>>>> Deb >>>>> >>>>> >>>> >>>> -- >>>> - Charles >>>> >>> >>> >> > -- Donald Szeto PredictionIO

Re: Model deployment help

e when the saving is done. Is this correct or some best > practices are available. > Database is unlikely in my case. > > Thanks in advance. > > > > -- Donald Szeto PredictionIO

Re: Spark and Play

27;t find a satisfactory >> > answer when searching. How can I integrate a Play application with >> > Spark? I'm getting into issues of akka-actor versions. Play 2.2.x >> > uses akka-actor 2.0, whereas Play 2.3.x uses akka-actor 2.3.4, neither >> > of which work fine with Spark 1.1.0. Is there something I should do >> > with libraryDependencies in my build.sbt to make it work? >> > >> > Thanks, >> > Akshat >> >> - >> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional >> commands, e-mail: user-h...@spark.apache.org >> >> >> - >> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >> For additional commands, e-mail: user-h...@spark.apache.org >> >> > -- Donald Szeto PredictionIO

Re: deploying a model built in mllib

ke the training >>>> data >>>> > convert the text data into a sparse data format and then take the >>>> other >>>> > features and use the dictionary vectorizer to do one-hot encoding for >>>> the >>>> > other categorical variables. All of those things seem to be possible >>>> in >>>> > mllib but I am still puzzled about how that can be packaged in such a >>>> way >>>> > that the incoming data can be first made into feature vectors and then >>>> > evaluated as well. >>>> > >>>> > Are there any best practices for this type of thing in Spark? I hope >>>> this >>>> > is clear but if there are any confusions then please let me know. >>>> > >>>> > Thanks, >>>> > >>>> > Chirag >>>> >>> >>> >> > -- Donald Szeto PredictionIO