Database Reference
In-Depth Information
•
classifiers.functions.SimpleLinearRegression
•
classifiers.meta.AdaBoostM1
•
classifiers.trees.RandomForest
•
clusterers.EM
•
filters.unsupervised.attribute.Normalize
As you can see, Weka offers a whole range of classes and functionality.
Adding tab completion
At this moment, you still need to type in the entire class name yourself. You can add
so-called tab completion by adding the following snippet to your
~/.bashrc
file after
you export
WEKAPATH
:
_completeweka
()
{
local
curw
=
${
COMP_WORDS
[COMP_CWORD]
}
local
wordlist
=
$(
cat
$WEKAPATH
/weka.classes
)
COMPREPLY
=(
$(
compgen
-W
'${wordlist[@]}'
--
"$curw"
)
)
return
0
}
complete
-o nospace -F _completeweka weka
This function makes use of the
weka.classes
file we generated earlier. If you now type
weka clu
on the command line and press
<Tab>
three times, you're presented with a
list of all classes that have to do with clustering:
$ weka clusterers.
clusterers.CheckClusterer
clusterers.CLOPE
clusterers.ClusterEvaluation
clusterers.Cobweb
clusterers.DBSCAN
clusterers.EM
clusterers.FarthestFirst
clusterers.FilteredClusterer
clusterers.forOPTICSAndDBScan.OPTICS_GUI.OPTICS_Visualizer
clusterers.HierarchicalClusterer
clusterers.MakeDensityBasedClusterer
clusterers.OPTICS
clusterers.sIB
clusterers.SimpleKMeans
clusterers.XMeans
Creating a command-line tool
weka
, determining the usable classes, and adding tab
completion makes sure that Weka is a little bit easier to use at the command line.
