[Java-ML-support] Weka Bridge

[Luis F. G. N. <mef...@ho...>]

Is there any way to specify the options for the weka clusterers through the WekaClusterer Class in JML?
For example the XMeans Weka class has all these options:
Valid options are: -I <num>
  maximum number of overall iterations
  (default 1). -M <num>
  maximum number of iterations in the kMeans loop in
  the Improve-Parameter part 
  (default 1000). -J <num>
  maximum number of iterations in the kMeans loop
  for the splitted centroids in the Improve-Structure part 
  (default 1000). -L <num>
  minimum number of clusters
  (default 2). -H <num>
  maximum number of clusters
  (default 4). -B <value>
  distance value for binary attributes
  (default 1.0). -use-kdtree
  Uses the KDTree internally
  (default no). -K <KDTree class specification>
  Full class name of KDTree class to use, followed
  by scheme options.
  eg: "weka.core.neighboursearch.kdtrees.KDTree -P"
  (default no KDTree class used). -C <value>
  cutoff factor, takes the given percentage of the splitted 
  centroids if none of the children win
  (default 0.0). -D <distance function class specification>
  Full class name of Distance function class to use, followed
  by scheme options.
  (default weka.core.EuclideanDistance). -N <file name>
  file to read starting centers from (ARFF format). -O <file name>
  file to write centers to (ARFF format). -U <int>
  The debug level.
  (default 0) -Y <file name>
  The debug vectors file. -S <num>
  Random number seed.
  (default 10)However in the tutorial there isn't a way to specify these options.I would really appreciate any help in this matter.
Luis Guzman