It is documented in the official doc: http://spark.apache.org/docs/latest/mllib-guide.html
On Wed, Jul 9, 2014 at 7:35 PM, Taka Shinagawa <taka.epsi...@gmail.com> wrote: > Hi, > > After testing Spark 1.0.1-RC2 on EC2 instances from the standard Ubuntu and > Amazon Linux AMIs, > I've noticed the MLlib's dependancy on gfortran library (libgfortran.so.3). > > "sbt assembly" succeeds without this library installed, but "sbt test" > fails as follows. > > I'm wondering if documenting this dependency in README and online doc might > a good idea. > > ------------- > [info] ALSSuite: > -- org.jblas ERROR Couldn't load copied link file: > java.lang.UnsatisfiedLinkError: > /tmp/jblas8312335435391185287libjblas_arch_flavor.so: libgfortran.so.3: > cannot open shared object file: No such file or directory. > > On Linux 64bit, you need additional support libraries. > You need to install libgfortran3. > > For example for debian or Ubuntu, type "sudo apt-get install libgfortran3" > > For more information, see > https://github.com/mikiobraun/jblas/wiki/Missing-Libraries > [info] Exception encountered when attempting to run a suite with class > name: org.apache.spark.mllib.recommendation.ALSSuite *** ABORTED *** > [info] java.lang.UnsatisfiedLinkError: > org.jblas.NativeBlas.dgemm(CCIIID[DII[DIID[DII)V > [info] at org.jblas.NativeBlas.dgemm(Native Method) > [info] at org.jblas.SimpleBlas.gemm(SimpleBlas.java:251) > [info] at org.jblas.DoubleMatrix.mmuli(DoubleMatrix.java:1697) > [info] at org.jblas.DoubleMatrix.mmul(DoubleMatrix.java:3054) > [info] at > org.apache.spark.mllib.recommendation.ALSSuite$.generateRatings(ALSSuite.scala:67) > [info] at > org.apache.spark.mllib.recommendation.ALSSuite.testALS(ALSSuite.scala:167) > [info] at > org.apache.spark.mllib.recommendation.ALSSuite$$anonfun$3.apply$mcV$sp(ALSSuite.scala:83) > [info] at > org.apache.spark.mllib.recommendation.ALSSuite$$anonfun$3.apply(ALSSuite.scala:83) > [info] at > org.apache.spark.mllib.recommendation.ALSSuite$$anonfun$3.apply(ALSSuite.scala:83) > [info] at > org.scalatest.Transformer$$anonfun$apply$1.apply(Transformer.scala:22) > [info] ... > > -------------
