Awesome. Exactly what I was looking for. Thanks Sharad. Regards
On Tue, May 26, 2015 at 10:39 AM, Sharad Agarwal <[email protected]> wrote: > lens ml module is an optional add on service > > - the dependencies of lens ml are not loaded by default in the lens server. > the ml dependencies have to be exported to LENS_EXT_CLASSPATH, which is > automatically added into the lens server classpath. > > - there is a separate distribution that gets created for lens ml. Use > LENS_EXT_CLASSPATH=$LENS_EXT_CLASSPATH:`$LENS_ML/bin/lens-ml-classpath.sh` > to export the lens ml classpath before the starting the lens server > > - you can find the sample conf that loads the ml module in > tools/conf-pseudo-distr/server > > - it has been tested with spark 1.3 > > Alternatively you can try running via docker. Docker sets the above > environment for you automatically. > > The ml module does not have the CLI shell commands as of now. So only the > way to run some models is via running MLRunner: > > bin/lens-run-class.sh org.apache.lens.ml.MLRunner $LENS_ML/data/naive_bayes > --conf $LENS_CLIENT_CONF > > Sharad > > > > > > > On Mon, May 25, 2015 at 12:38 PM, Yash Sharma <[email protected]> wrote: > > > Hi All, > > I was trying to play around with Lens ML module and was not able to get > lot > > of information on the setup and starting guidelines. > > > > I was going through the deployment section in docs [1] but could not > figure > > out lot of things. Is there any resource for setting up ML module and > > trying out some sample models through the CLI. > > Also what is the recommended version of Spark. > > > > Any tips would be appreciated. I would be happy to enhance the docs based > > on my findings. > > > > Thanks > > > > 1. https://lens.incubator.apache.org/user/ml.html > > >
