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From Niall Riddell <niall.ridd...@xspca.com>
Subject MahoutDriver
Date Fri, 12 Aug 2011 07:09:52 GMT
Hi,

I've done a mnv clean install on the latest trunk and I'm getting the
following error when trying to run seqdirectory example in MIA.

~/dev/mahout$ bin/mahout seqdirectory -core -c UTF-8 -i
examples/reuters-extracted/ -o reuters-seqfiles
Running on hadoop, using HADOOP_HOME=/home/riddelln/dev/hadoop-0.20.203.0
HADOOP_CONF_DIR=/home/riddelln/dev/hadoop-0.20.203.0/conf
MAHOUT-JOB: /home/riddelln/dev/mahout/examples/target/mahout-examples-0.6-SNAPSHOT-job.jar
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.utils.clustering.ClusterDumper
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.classifier.bayes.PrepareTwentyNewsgroups
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorDriver
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.classifier.sgd.TrainLogistic
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.utils.vectors.lucene.Driver
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.classifier.sgd.RunAdaptiveLogistic
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.utils.SequenceFileDumper
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.classifier.bayes.WikipediaXmlSplitter
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.classifier.sgd.PrintResourceOrFile
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.classifier.sgd.ValidateAdaptiveLogistic
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.text.WikipediaToSequenceFile
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.classifier.sgd.TrainAdaptiveLogistic
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.utils.vectors.VectorDumper
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.utils.vectors.RowIdJob
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.clustering.lda.LDAPrintTopics
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.text.SequenceFilesFromDirectory
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.classifier.sgd.RunLogistic
11/08/12 08:07:06 WARN driver.MahoutDriver: Unable to add class:
org.apache.mahout.utils.vectors.arff.Driver
11/08/12 08:07:06 WARN driver.MahoutDriver: No seqdirectory.props
found on classpath, will use command-line arguments only
Unknown program 'seqdirectory' chosen.
Valid program names are:
  baumwelch: : Baum-Welch algorithm for unsupervised HMM training
  canopy: : Canopy clustering
  cleansvd: : Cleanup and verification of SVD output
  dirichlet: : Dirichlet Clustering
  eigencuts: : Eigencuts spectral clustering
  evaluateFactorization: : compute RMSE of a rating matrix
factorization against probes in memory
  evaluateFactorizationParallel: : compute RMSE of a rating matrix
factorization against probes
  fkmeans: : Fuzzy K-means clustering
  fpg: : Frequent Pattern Growth
  hmmpredict: : Generate random sequence of observations by given HMM
  itemsimilarity: : Compute the item-item-similarities for item-based
collaborative filtering
  kmeans: : K-means clustering
  lda: : Latent Dirchlet Allocation
  matrixmult: : Take the product of two matrices
  meanshift: : Mean Shift clustering
  parallelALS: : ALS-WR factorization of a rating matrix
  predictFromFactorization: : predict preferences from a factorization
of a rating matrix
  recommenditembased: : Compute recommendations using item-based
collaborative filtering
  rowsimilarity: : Compute the pairwise similarities of the rows of a matrix
  seq2sparse: : Sparse Vector generation from Text sequence files
  spectralkmeans: : Spectral k-means clustering
  splitDataset: : split a rating dataset into training and probe parts
  ssvd: : Stochastic SVD
  svd: : Lanczos Singular Value Decomposition
  testclassifier: : Test Bayes Classifier
  trainclassifier: : Train Bayes Classifier
  transpose: : Take the transpose of a matrix
  vecdist: : Compute the distances between a set of Vectors (or
Cluster or Canopy, they must fit in memory) and a list of Vectors
  viterbi: : Viterbi decoding of hidden states from given output states sequence

Any thoughts, please?

Cheers
Niall Riddell
xSpace Analytics Ltd
T: +44 161 408 3830
M:+44 778 696 3830
Skype: niall.riddell

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