mansur created MAHOUT-1391:
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Summary: Possibility to disable confusion matrix in naive bayes
Key: MAHOUT-1391
URL: https://issues.apache.org/jira/browse/MAHOUT-1391
Project: Mahout
Issue Type: New Feature
Components: Classification
Affects Versions: 1.0
Reporter: mansur
Sometimes confusion matrix is to big and not really necessary.
And there is another case for the possibility:
If you split a dataset with many labels with random selection percent to
testdataset and trainingdataset, it could happen, that there are classes/labels
in testdata, which do not appear in the trainingdataset. By creating a model
with the trainingdata the created labelindex does not include some labels from
testdata. Therefore if you test on this model with the testdata, mahout tries
to create a confusion matrix with the labels from testdata which are not
included in the labelindex and throws an exception.
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