Hi Amado, You have several options:
1. Train on a real Spark cluster with more executor memory. 2. Increase Spark driver memory if you want to test locally. 3. Reduce number of iterations in engine.json. Regards, Donald On Sun, Oct 30, 2016 at 7:42 AM, Amado Espinosa <[email protected]> wrote: > > Hi, I stuck trying to train the Recommendation Engine. The issue seems to > be related with > > [WARN] [BLAS] Failed to load implementation from: > com.github.fommil.netlib.NativeSystemBLAS > [WARN] [BLAS] Failed to load implementation from: > com.github.fommil.netlib.NativeRefBLAS > [WARN] [LAPACK] Failed to load implementation from: > com.github.fommil.netlib.NativeSystemLAPACK > [WARN] [LAPACK] Failed to load implementation from: > com.github.fommil.netlib.NativeRefLAPACK > > Warnings, I googled and I find some tips like > > To fix this, you need to download the source code, and build it yourself > passing the “-Pnetlib-lgpl” option to maven. > > I've did that using this command > > ./make-distribution.sh --name hadoop-2.6 --tgz -Phadoop-2.6 -Pyarn > -Pnetlib-lgpl -DskipTests > > but still I;m getting the same issue .. > I attached the log, do you have any guideline to avoid this issue? I'm > miss some steps during the installation/setup? > > Thanks for your help, > Best Regards. > >
