Um, you are running the Netflix example on the GroupLens data set. Of course this doesn't work.
On Fri, Oct 21, 2011 at 9:54 PM, Yang <[email protected]> wrote: > I got the following errors when running: > > $ mvn -X -e -q exec:java > -Dexec.mainClass="org.apache.mahout.cf.taste.example.netflix.NetflixRecommenderEvaluatorRunner" > -Dexec.args="-i /home/yyang/work/mahout/trunk/examples/data/ml-1m/" > > > > > [DEBUG] joining on thread > Thread[org.apache.mahout.cf.taste.example.netflix.NetflixRecommenderEvaluatorRunner.main(),5,org.apache.mahout.cf.taste.example.netflix.NetflixRecommenderEvaluatorRunner] > [DEBUG] Setting accessibility to true in order to invoke main(). > 11/10/21 13:52:01 INFO netflix.NetflixDataModel: Creating > NetflixDataModel for directory: > /home/yyang/work/mahout/trunk/examples/data/ml-1m > 11/10/21 13:52:01 INFO netflix.NetflixDataModel: Reading preference data... > [INFO] > ------------------------------------------------------------------------ > [ERROR] BUILD ERROR > [INFO] > ------------------------------------------------------------------------ > [INFO] An exception occured while executing the Java class. null > > [INFO] > ------------------------------------------------------------------------ > [DEBUG] Trace > org.apache.maven.lifecycle.LifecycleExecutionException: An exception > occured while executing the Java class. null > at > org.apache.maven.lifecycle.DefaultLifecycleExecutor.executeGoals(DefaultLifecycleExecutor.java:719) > at > org.apache.maven.lifecycle.DefaultLifecycleExecutor.executeStandaloneGoal(DefaultLifecycleExecutor.java:569) > at > org.apache.maven.lifecycle.DefaultLifecycleExecutor.executeGoal(DefaultLifecycleExecutor.java:539) > at > org.apache.maven.lifecycle.DefaultLifecycleExecutor.executeGoalAndHandleFailures(DefaultLifecycleExecutor.java:387) > at > org.apache.maven.lifecycle.DefaultLifecycleExecutor.executeTaskSegments(DefaultLifecycleExecutor.java:348) > at > org.apache.maven.lifecycle.DefaultLifecycleExecutor.execute(DefaultLifecycleExecutor.java:180) > at org.apache.maven.DefaultMaven.doExecute(DefaultMaven.java:328) > at org.apache.maven.DefaultMaven.execute(DefaultMaven.java:138) > at org.apache.maven.cli.MavenCli.main(MavenCli.java:362) > at > org.apache.maven.cli.compat.CompatibleMain.main(CompatibleMain.java:60) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:616) > at org.codehaus.classworlds.Launcher.launchEnhanced(Launcher.java:315) > at org.codehaus.classworlds.Launcher.launch(Launcher.java:255) > at > org.codehaus.classworlds.Launcher.mainWithExitCode(Launcher.java:430) > at org.codehaus.classworlds.Launcher.main(Launcher.java:375) > Caused by: org.apache.maven.plugin.MojoExecutionException: An > exception occured while executing the Java class. null > at org.codehaus.mojo.exec.ExecJavaMojo.execute(ExecJavaMojo.java:346) > at > org.apache.maven.plugin.DefaultPluginManager.executeMojo(DefaultPluginManager.java:490) > at > org.apache.maven.lifecycle.DefaultLifecycleExecutor.executeGoals(DefaultLifecycleExecutor.java:694) > ... 17 more > Caused by: java.lang.reflect.InvocationTargetException > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:616) > at org.codehaus.mojo.exec.ExecJavaMojo$1.run(ExecJavaMojo.java:291) > at java.lang.Thread.run(Thread.java:679) > Caused by: java.lang.NullPointerException > at > org.apache.mahout.cf.taste.example.netflix.NetflixDataModel.readUsers(NetflixDataModel.java:79) > at > org.apache.mahout.cf.taste.example.netflix.NetflixDataModel.<init>(NetflixDataModel.java:68) > at > org.apache.mahout.cf.taste.example.netflix.NetflixRecommenderEvaluatorRunner.main(NetflixRecommenderEvaluatorRunner.java:44) > ... 6 more > [INFO] > ------------------------------------------------------------------------ > [INFO] Total time: 2 seconds > [INFO] Finished at: Fri Oct 21 13:52:01 PDT 2011 > [INFO] Final Memory: 23M/127M > [INFO] > ------------------------------------------------------------------------ > > > On Fri, Oct 21, 2011 at 1:21 AM, Sean Owen <[email protected]> wrote: >> It depends on which example you are running! For GroupLens, yes, it's >> the movies.dat file. >> >> I will warn you that I think the various GroupLens data sets have >> different input formats. Some are comma-separated, which is what you >> need, and some are separated by "::". Open the file and look. If it is >> the latter, you need to change it to comma-separated form. >> >> On Thu, Oct 20, 2011 at 11:41 PM, Yang <[email protected]> wrote: >>> in the recommendation examples >>> >>> https://cwiki.apache.org/confluence/display/MAHOUT/RecommendationExamples >>> >>> it mentions the "-i input_file " parameter, >>> >>> but the downloaded movie-lens dataset is a zip, and contains multiple >>> .dat files, which one should I use? >>> >>> Thanks >>> Yang >>> >> > > > how do I debug this? >
