from the asf-email-examples.sh script:

# You will need to download or otherwise obtain some or all of the Amazon ASF Em
ail Public Dataset (http://aws.amazon.com/datasets/7791434387204566) to use this
 script.
# To obtain a full copy you will need to launch an EC2 instance and mount the da
taset to download it, otherwise you can get a sample of it at
# http://www.lucidimagination.com/devzone/technical-articles/scaling-mahout

It looks like the:
 http://www.lucidimagination.com/devzone/technical-articles/scaling-mahout

link is down.  

Is there somewhere else that we can get a subset of the ASF emails?



Date: Tue, 21 Jan 2014 09:48:06 -0800
> Subject: Re: MAHOUT 0.9 Release - New URL
> From: andrew.mussel...@gmail.com
> To: dev@mahout.apache.org
> 
> Sure thing; continuing to smoke test the other examples tonight
> 
> 
> On Tue, Jan 21, 2014 at 9:23 AM, Suneel Marthi <suneel_mar...@yahoo.com>wrote:
> 
> > Thanks Andrew M., see that some of the example scripts need to be fixed as
> > they still refer to the deprecated algorithms.
> > See that the Streaming KMeans has failed for you as well.
> >
> > I'll be rolling back the release today to fix these issues.
> >
> >
> >
> >
> >
> > On Tuesday, January 21, 2014 1:22 AM, Andrew Musselman <
> > andrew.mussel...@gmail.com> wrote:
> >
> > Builds on Ubuntu 12.04 from tarball and zip, and on AWS's default 64-bit
> > Linux AMI from tarball.
> >
> > All tests pass.
> >
> > *Output of examples:*
> > *asf-email-examples.sh, run on mahout.apache.org
> > <http://mahout.apache.org>:*
> > *recommendations:*
> > [ec2-user@ip-10-73-146-199 bin]$ hadoop fs -cat
> > /user/ec2-user/asf-output/prefs/recommendations/part-r-00000  | less
> > 1
> >
> > [21935:1.0,23122:1.0,24084:1.0,26397:1.0,1755:1.0,20743:1.0,13428:1.0,19483:1.0,24067:1.0]
> > 4
> >
> > [14372:1.0,28069:1.0,12258:1.0,18412:1.0,26707:1.0,14610:1.0,2909:1.0,14777:1.0,11792:1.0,26764:1.0]
> > 6
> >
> > [5442:1.0,18416:1.0,17554:1.0,14610:1.0,16767:1.0,16740:1.0,26743:1.0,11792:1.0,26707:1.0,28116:1.0]
> > 8
> >     [12758:1.0,19409:1.0,11112:1.0]
> > 11
> >
> > [25890:1.0,26743:1.0,9122:1.0,14512:1.0,28116:1.0,17499:1.0,14976:1.0,14561:1.0,3686:1.0,26707:1.0]
> > 14
> >
> > [29596:1.0,25567:1.0,19520:1.0,26327:1.0,13809:1.0,29435:1.0,17331:1.0,17290:1.0,17819:1.0,3829:1.0]
> > 15
> >
> > [15355:1.0,15322:1.0,23191:1.0,7990:1.0,15318:1.0,15236:1.0,17789:1.0,15286:1.0,20916:1.0,2812:1.0]
> > 16
> >
> > [23647:1.0,18137:1.0,1692:1.0,11490:1.0,4303:1.0,12906:1.0,5120:1.0,29503:1.0,19409:1.0,27700:1.0]
> > 18
> >
> > [29738:1.0,12070:1.0,24078:1.0,19449:1.0,17819:1.0,11549:1.0,25410:1.0,15228:1.0,24930:1.0,23708:1.0]
> > 19      [28008:1.0,18416:1.0,2909:1.0,29250:1.0,28023:1.0,14974:1.0]
> > 20
> >
> > [19313:1.0,3464:1.0,12394:1.0,18665:1.0,16601:1.0,25816:1.0,10212:1.0,11626:1.0,18577:1.0,16734:1.0]
> > [snip]
> >
> > *clustering; kmeans:*
> > [snip]
> >         Weight : [props - optional]:  Point:
> >         1.0 :
> >  [distance-squared=1.0193102046188427]:
> > /commits/200802.gz/20835820.1202052180347.JavaMail.www-data@brutus =
> > [1065:0.195, 1977:0.355, 2246:0.091, 3008:0.078, 5336:0.110, 7573:0.204,
> > 7683:0.126, 7715:0.365, 7812:0.180, 7832:0.075, 8268:0.093, 9779:0.159,
> > 10257:0.133, 10972:0.158, 11663:0.143, 15313:0.065, 17007:0.244,
> > 19359:0.183, 19399:0.338, 19525:0.139, 20224:0.140, 24649:0.095,
> > 25003:0.076, 29143:0.156, 30459:0.075, 31537:0.156, 31559:0.075,
> > 31668:0.139, 33208:0.117, 33425:0.218, 36491:0.075, 38378:0.130,
> > 39789:0.110, 40743:0.190, 45775:0.086]
> >         1.0 : [distance-squared=0.9823018320457279]:
> > /commits/200808.gz/1722278226.1219149603005.JavaMail.www-data@brutus =
> > [1065:0.188, 2246:0.088, 3008:0.076, 3620:0.239, 5200:0.104, 5336:0.106,
> > 6404:0.088, 7552:0.335, 7683:0.122, 7715:0.376, 7812:0.173, 7832:0.072,
> > 10257:0.128, 11663:0.195, 15313:0.063, 16660:0.094, 19359:0.177,
> > 19525:0.134, 19551:0.101, 20025:0.183, 21233:0.098, 24649:0.092,
> > 25003:0.112, 27650:0.283, 27653:0.216, 29143:0.150, 30459:0.072,
> > 30868:0.208, 31559:0.126, 31565:0.203, 33208:0.113, 36491:0.073,
> > 36610:0.141, 36767:0.208, 38378:0.125, 39789:0.106, 45775:0.083]
> >         1.0 : [distance-squared=0.9509142993214911]:
> > /commits/201006.gz/5844140.863.1277658000780.JavaMail.confluence@thor =
> > [648:0.100, 914:0.066, 2040:0.076, 2246:0.078, 3008:0.048,
> >  4419:0.076,
> > 4452:0.070, 5200:0.065, 5203:0.140, 5336:0.067, 6404:0.056, 7235:0.048,
> > 7310:0.077, 7464:0.067, 7471:0.060, 7489:0.093, 7505:0.123, 7683:0.077,
> > 7715:0.145, 7814:0.072, 7912:0.155, 8268:0.098, 9835:0.118, 10225:0.081,
> > 10257:0.114, 11127:0.112, 11510:0.086, 11589:0.139, 11663:0.087,
> > 12641:0.117, 13837:0.052, 14030:0.062, 14089:0.051, 14352:0.061,
> > 14396:0.185, 17015:0.115, 17240:0.097, 18767:0.149, 19774:0.124,
> > 20346:0.159, 21233:0.075, 23657:0.089, 23939:0.078, 23974:0.105,
> > 23998:0.146, 24962:0.122, 25003:0.093, 25084:0.151, 25128:0.052,
> > 29143:0.095, 30459:0.046, 30806:0.075, 31559:0.046, 31727:0.104,
> > 31895:0.105, 31900:0.153, 32149:0.079, 32993:0.069, 33112:0.177,
> > 33208:0.101, 33351:0.089, 33533:0.079, 33638:0.042, 35795:0.066,
> > 36189:0.078, 36491:0.046, 36500:0.093, 36625:0.200, 37111:0.071,
> > 39336:0.079, 39789:0.067, 39933:0.073, 39967:0.079, 41155:0.167,
> > 41280:0.065, 41696:0.072, 41947:0.118,
> >  43685:0.086, 44077:0.308,
> > 44353:0.215, 44423:0.085, 45215:0.151, 45775:0.052, 46766:0.074,
> > 47823:0.082, 48120:0.080, 48212:0.109, 48436:0.110]
> > [snip]
> >
> > *clustering; dirichlet:*
> > Get this complaint:
> > Running Dirichlet with K = 8
> > Running on hadoop, using /home/ec2-user/hadoop-1.2.1/bin/hadoop and
> > HADOOP_CONF_DIR=
> > MAHOUT-JOB:
> >
> > /home/ec2-user/mahout-distribution-0.9/examples/target/mahout-examples-0.9-job.jar
> > 14/01/21 05:16:35 WARN driver.MahoutDriver: Unable to add class: dirichlet
> > 14/01/21 05:16:35 WARN driver.MahoutDriver: No dirichlet.props found on
> > classpath, will use command-line arguments only
> > Unknown program 'dirichlet' chosen.
> >
> > *clustering: minhash:*
> > Running Minhash
> > Running on hadoop, using /home/ec2-user/hadoop-1.2.1/bin/hadoop and
> > HADOOP_CONF_DIR=
> > MAHOUT-JOB:
> >
> > /home/ec2-user/mahout-distribution-0.9/examples/target/mahout-examples-0.9-job.jar
> > 14/01/21 05:17:27 WARN
> >  driver.MahoutDriver: Unable to add class: minhash
> > 14/01/21 05:17:27 WARN driver.MahoutDriver: No minhash.props found on
> > classpath, will use command-line arguments only
> > Unknown program 'minhash' chosen.
> >
> > *classification; standard:*
> > =======================================================
> > Summary
> > -------------------------------------------------------
> > Correctly Classified Instances          :       5384       87.7874%
> > Incorrectly Classified Instances        :        749       12.2126%
> > Total Classified Instances              :       6133
> >
> > =======================================================
> > Confusion Matrix
> > -------------------------------------------------------
> > a       b       c       d
> >     <--Classified as
> > 2949    7       531     25       |  3512        a     = dev
> > 0       0       0       0        |  0           b     = general
> > 99      8       1763    8        |  1878        c     = user
> > 41      1       29      672      |  743         d     = commits
> >
> > =======================================================
> > Statistics
> > -------------------------------------------------------
> > Kappa
> >  0.7877
> > Accuracy                                   87.7874%
> > Reliability                                 53.658%
> > Reliability (standard deviation)            0.4911
> >
> > *classification; complementary:*
> > =======================================================
> > Summary
> > -------------------------------------------------------
> > Correctly Classified Instances          :       5530       90.1679%
> > Incorrectly Classified Instances        :        603        9.8321%
> > Total Classified Instances              :
> >  6133
> >
> > =======================================================
> > Confusion Matrix
> > -------------------------------------------------------
> > a       b       c       d       <--Classified as
> > 3168    0       276     68       |  3512        a     = dev
> > 0       0       0       0        |  0           b     = general
> > 196     0       1652    30       |  1878        c     = user
> > 25      0       8       710      |  743         d     =
> >  commits
> >
> > =======================================================
> > Statistics
> > -------------------------------------------------------
> > Kappa                                       0.8259
> > Accuracy                                   90.1679%
> > Reliability                                54.7459%
> > Reliability (standard deviation)            0.5005
> >
> > 14/01/21 05:28:42 INFO driver.MahoutDriver: Program took 20901 ms (Minutes:
> > 0.34836666666666666)
> >
> > *classification; sgd, with three categories:*
> > Running SGD Training
> > Running on hadoop, using /home/ec2-user/hadoop-1.2.1/bin/hadoop
> >  and
> > HADOOP_CONF_DIR=
> > MAHOUT-JOB:
> >
> > /home/ec2-user/mahout-distribution-0.9/examples/target/mahout-examples-0.9-job.jar
> > 14/01/21 05:58:00 WARN driver.MahoutDriver: No
> > org.apache.mahout.classifier.sgd.TrainASFEmail.props found on classpath,
> > will use command-line arguments only
> > 14/01/21 05:58:00 INFO common.AbstractJob: Command line arguments:
> > {--cardinality=[100000], --categories=[3], --endPhase=[2147483647],
> > --input=[asf-output/classification/sgd/splits/mapRedOut/],
> > --output=[asf-output/classification/sgd/models], --poolSize=[5],
> > --startPhase=[0], --tempDir=[temp], --threads=[20]}
> > 24168 training files
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       1
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000
> >  2
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       3
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       4
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       6
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       8
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       10
> > 0.000   0.00    none
> > 0.00    0.00
> >    0.00    0.00    0.0000000       0.0000000       12
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       15
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       20
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       25
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       30
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000
> >     0.0000000       40
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       50
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       60
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       70
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       80
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       100
> > 0.000
> >  0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       120
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       140
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       150
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       200
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       250
> > 0.000   0.00    none
> > 0.00    0.00
> >  0.00    0.00    0.0000000       0.0000000       300
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       400
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       500
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       600
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000       0.0000000       700
> > 0.000   0.00    none
> > 0.00    0.00    0.00    0.00    0.0000000
> >  0.0000000       800
> > 0.000   0.00    none
> > 0.13    32659.00        12672.00        82.50   1.3512194e-08
> > 1.0019413e-08   1000    -0.607  75.78   none
> > 0.13    32659.00        12672.00        82.50   1.3512194e-08
> > 1.0019413e-08   1200    -0.607  75.78   none
> > 0.13    32659.00        12672.00        82.50   1.3512194e-08
> > 1.0019413e-08   1400    -0.607  75.78   none
> > 0.13    32659.00        12672.00        82.50   1.3512194e-08
> > 1.0019413e-08   1500    -0.607  75.78   none
> > 0.24    43686.00        17924.00        329.50
> >  1.0571799e-08
> > 1.0032261e-08   2000    -0.487  82.65   none
> > 0.24    49753.00        21610.00        330.71  1.3770070e-08
> > 1.0011902e-08   2500    -0.439  83.90   none
> > 0.24    49753.00        21610.00        330.71  1.3770070e-08
> > 1.0011902e-08   3000    -0.439  83.90   none
> > 0.32    50635.00        28531.00        437.09  1.0551175e-08
> > 1.0000001e-08   4000    -0.351  88.14   none
> > 0.32    50635.00        32642.00        437.09  1.0551175e-08
> > 1.0000000e-08   5000    -0.378  87.10   none
> > 0.32    50635.00        36461.00        437.09
> >  1.0556652e-08
> > 1.0000001e-08   6000    -0.372  86.89   none
> > 0.32    50635.00        37768.00        437.09  1.0576742e-08
> > 1.0000001e-08   7000    -0.334  89.26   none
> > 0.32    50635.00        38807.00        437.09  1.0576742e-08
> > 1.0000000e-08   8000    -0.368  87.52   none
> > 0.32    50635.00        44731.00        437.09  1.0576716e-08
> > 1.0000000e-08   10000   -0.374  87.39   none
> > 0.32    50635.00        45672.00        437.09  1.0576716e-08
> > 1.0000000e-08   12000   -0.298  88.26   none
> > Exception in thread "main" java.lang.IllegalStateException:
> > java.lang.ArrayIndexOutOfBoundsException:
> >  2
> >         at
> >
> > org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.trainWithBufferedExamples(AdaptiveLogisticRegression.java:175)
> >         at
> >
> > org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.train(AdaptiveLogisticRegression.java:147)
> >         at
> >
> > org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.train(AdaptiveLogisticRegression.java:132)
> >         at
> > org.apache.mahout.classifier.sgd.TrainASFEmail.run(TrainASFEmail.java:109)
> >         at
> > org.apache.mahout.classifier.sgd.TrainASFEmail.main(TrainASFEmail.java:142)
> >         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:622)
> >         at
> >
> > org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:68)
> >         at
> > org.apache.hadoop.util.ProgramDriver.driver(ProgramDriver.java:139)
> >         at
> > org.apache.mahout.driver.MahoutDriver.main(MahoutDriver.java:195)
> >         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> >         at
> >
> > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> >         at
> >
> > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> >         at java.lang.reflect.Method.invoke(Method.java:622)
> >         at
> >  org.apache.hadoop.util.RunJar.main(RunJar.java:160)
> > Caused by: java.lang.ArrayIndexOutOfBoundsException: 2
> >         at
> > org.apache.mahout.math.DenseVector.setQuick(DenseVector.java:141)
> >         at
> >
> > org.apache.mahout.classifier.sgd.DefaultGradient.apply(DefaultGradient.java:44)
> >         at
> >
> > org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression.train(AbstractOnlineLogisticRegression.java:167)
> >         at
> >
> > org.apache.mahout.classifier.sgd.CrossFoldLearner.train(CrossFoldLearner.java:137)
> >         at
> >
> > org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression$Wrapper.train(AdaptiveLogisticRegression.java:444)
> >         at
> >
> > org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression$1.apply(AdaptiveLogisticRegression.java:158)
> >
> >  at
> >
> > org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression$1.apply(AdaptiveLogisticRegression.java:153)
> >         at
> >
> > org.apache.mahout.ep.EvolutionaryProcess$1.call(EvolutionaryProcess.java:148)
> >         at
> >
> > org.apache.mahout.ep.EvolutionaryProcess$1.call(EvolutionaryProcess.java:145)
> >         at
> > java.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java:334)
> >         at java.util.concurrent.FutureTask.run(FutureTask.java:166)
> >         at
> >
> > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1146)
> >         at
> >
> > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> >         at java.lang.Thread.run(Thread.java:701)
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> > On Mon, Jan 20, 2014 at 9:37 AM, Andrew Musselman <
> > andrew.mussel...@gmail.com> wrote:
> >
> > > Trying out the build today
> > >
> > >
> > > On Mon, Jan 20, 2014 at 6:00 AM, Suneel Marthi <suneel_mar...@yahoo.com
> > >wrote:
> > >
> > >> This is an issue (trivial one though) that needs to be fixed for 0.9
> > >> Release, will be rerolling the release today (in the next few hrs) and
> > >> putting out a new release candidate in staging.
> > >>
> > >> Thanks for reporting this Andrew P.
> > >>
> > >>
> > >>
> > >>
> > >>
> > >> On Monday, January 20, 2014 12:34 AM, Andrew Palumbo <
> > ap....@outlook.com>
> > >> wrote:
> > >>
> > >> I ran through the tests with on a CentOS VM
> >  AMD64 2 cores 4 GB RAM.  Had
> > >> a bit of trouble getting the Hadoop natives to compile and therefore may
> > >> have run into some problems because of the hadoop setup.  Ran into some
> > >> problems in the example scripts.  Particularly with
> > >> ./cluster-syntheticcontrol.sh ->4,5.  I will run through the rest of the
> > >> examples when im sure I've got hadoop setup right.
> > >>
> > >>
> > >> Apache Maven 3.1.2-SNAPSHOT
> > >> Java version: 1.6.0_45, vendor: Sun Microsystems Inc.
> > >> Java home: /usr/java/jdk1.6.0_45/jre
> > >> OS name: "linux", version: "2.6.32-358.23.2.el6.x86_64", arch: "amd64",
> > >> family: "unix"
> > >> $MAHOUT_LOCAL=true
> > >> Hadoop 2.2.0
> > >>
> > >>
> > >> a) Verify that u can unpack the release (tar or zip) ...passed (tar)
> > >> [passed ]
> > >>
> > >> b) Verify u r able to compile the
> >  distro
> > >>
> > >>     mvn compile- [passed with warnings]
> > >>
> > >>     [WARNING]  Expected all dependencies to require Scala version: 2.9.3
> > >>     [WARNING]  org.apache.mahout:mahout-math-scala:0.9 requires scala
> > >> version: 2.9.3
> > >>     [WARNING]  org.scalatest:scalatest_2.9.2:1.9.1 requires scala
> > >> version: 2.9.2
> > >>     [WARNING] Multiple versions of scala libraries detected!
> > >>
> > >> c)  Run through the unit tests: mvn clean test
> > >>     mvn clean test [passed]
> > >>
> > >> d) Run the
> > >>  example scripts under $MAHOUT_HOME/examples/bin.
> > >> Please run through all the different options in each script
> > >>
> > >>     Running example scripts with $MAHOUT_LOCAL=true
> > >>
> > >>
> >  ./cluster-syntheticcontrol.sh ->1 [works]
> > >>     ./cluster-syntheticcontrol.sh ->2 [works]
> > >>     ./cluster-syntheticcontrol.sh ->3 [works]
> > >>
> > >>
> > >>     ./cluster-syntheticcontrol.sh ->4 [exits, throws exception]
> > >>     [...]
> > >>     WARNING: Unable to add class:
> > >> org.apache.mahout.clustering.syntheticcontrol.dirichlet.Job
> > >>     java.lang.ClassNotFoundException:
> > >> org.apache.mahout.clustering.syntheticcontrol.dirichlet.Job
> > >>         at
> > >>  java.net.URLClassLoader$1.run(URLClassLoader.java:202)
> > >>         at java.security.AccessController.doPrivileged(Native Method)
> > >>         at java.net.URLClassLoader.findClass(URLClassLoader.java:190)
> > >>         at
> >  java.lang.ClassLoader.loadClass(ClassLoader.java:306)
> > >>         at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301)
> > >>         at java.lang.ClassLoader.loadClass(ClassLoader.java:247)
> > >>         at java.lang.Class.forName0(Native Method)
> > >>         at java.lang.Class.forName(Class.java:171)
> > >>         at
> > >> org.apache.mahout.driver.MahoutDriver.addClass(MahoutDriver.java:237)
> > >>         at
> > >>  org.apache.mahout.driver.MahoutDriver.main(MahoutDriver.java:128)
> > >>     Jan 19, 2014 7:55:31 PM org.slf4j.impl.JCLLoggerAdapter warn
> > >>
> > >>
> > >>     ./cluster-syntheticcontrol.sh ->5 [exits, throws exception]
> > >>
> > >>     WARNING: Unable to add class:
> > >>
> >  org.apache.mahout.clustering.syntheticcontrol.meanshift.Job
> > >>     java.lang.ClassNotFoundException:
> > >> org.apache.mahout.clustering.syntheticcontrol.meanshift.Job
> > >>         at java.net.URLClassLoader$1.run(URLClassLoader.java:202)
> > >>         at java.security.AccessController.doPrivileged(Native Method)
> > >>         at java.net.URLClassLoader.findClass(URLClassLoader.java:190)
> > >>         at java.lang.ClassLoader.loadClass(ClassLoader.java:306)
> > >>         at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301)
> > >>         at java.lang.ClassLoader.loadClass(ClassLoader.java:247)
> > >>         at java.lang.Class.forName0(Native Method)
> > >>         at
> >  java.lang.Class.forName(Class.java:171)
> > >>         at
> > >> org.apache.mahout.driver.MahoutDriver.addClass(MahoutDriver.java:237)
> > >>         at
> > >> org.apache.mahout.driver.MahoutDriver.main(MahoutDriver.java:128)
> > >>     Jan 19, 2014 7:59:51 PM org.slf4j.impl.JCLLoggerAdapter warn
> > >>     WARNING: No
> > >> org.apache.mahout.clustering.syntheticcontrol.meanshift.Job.props found
> > on
> > >> classpath, will use command-line arguments only
> > >>     Unknown program
> > >>  'org.apache.mahout.clustering.syntheticcontrol.meanshift.Job' chosen.
> > >>
> > >>
> > >>     ./classify-20newsgroups.sh ->1 [works]
> > >>     ./classify-20newsgroups.sh ->2 [works]
> > >>
> > >>
> > >>     cluster-reuters.sh ->1 [works]
> > >>
> >  cluster-reuters.sh ->2 [works]
> > >>     cluster-reuters.sh ->3 [works]
> > >>
> > >>     Same error as noted previosly in the thread:
> > >>
> > >>     cluster-reuters.sh ->4 [0 clusters]
> > >>
> > >>     [...]
> > >>
> > >>     WARNING: No qualcluster.props found on classpath, will use
> > >> command-line arguments only
> > >>     Num clusters: 0; maxDistance: 0.000000
> > >>     [Dunn Index]
> > >>  First: Infinity
> > >>     [Davies-Bouldin Index] First: NaN
> > >>     Jan 19, 2014 7:13:57 PM org.slf4j.impl.JCLLoggerAdapter info
> > >>     INFO: Program took 669 ms (Minutes: 0.01115)
> > >>     cluster,distance.mean,distance.sd
> > >>
> >
> >  ,distance.q0,distance.q1,distance.q2,distance.q3,distance.q4,count,is.train
> > >>
> > >>
> > >>
> > >>
> > >>
> > >>
> > >> > Date: Thu, 16 Jan 2014 06:41:09 -0800
> > >> > From: suneel_mar...@yahoo.com
> > >> > Subject: MAHOUT 0.9 Release - New URL
> > >> > To: u...@mahout.apache.org; dev@mahout.apache.org
> > >> >
> > >> > Third time's a Charm!!!
> > >> >
> > >> >
> > >> > Here's the new URL for Mahout 0.9 Release:
> > >> >
> > >>
> > https://repository.apache.org/content/repositories/orgapachemahout-1002/org/apache/mahout/mahout-distribution/0.9/
> > >> >
> > >> > For those volunteering to test this, some of the things to be
> > verified:
> > >> >
> > >> > a) Verify that u can unpack the release (tar or zip)
> > >> > b) Verify u r able to compile the distro
> > >> > c)  Run through the unit tests: mvn clean test
> > >> > d) Run the example scripts
> > >>  under $MAHOUT_HOME/examples/bin. Please run through all the different
> > >> options in each script.
> > >> >
> > >> >
> > >> > Committers
> > >> >  and PMC members:
> > >> > ---------------------------------------
> > >> >
> > >> > Need 'at least 3 +1 votes' for the Release to pass.
> > >> >
> > >> >
> > >> > Thanks and
> >  Regards.
> > >>
> > >
> > >
> >
                                          

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