Re: [Java-ML-support] Weka Bridge

[Thomas A. <ta...@br...>]

You can specific most options with either setters or during construction 
of the weka clusterer.

cheers,
Thomas

On 7/23/2013 4:57 PM, Luis Fdo Guzmán Nateras wrote:
> 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
>
>
>
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