[MAHOUT-286] Need to be able to run classifiers from non-text input (such as ARFF data)

• Type: Improvement
• Status: Closed
• Priority: Minor
• Resolution: Duplicate
• Affects Version/s: 0.3
• Fix Version/s: 0.5
• Assignee: Unassigned
• Reporter: Ted Dunning
• Created: 09/Feb/10 18:39
• Updated: 21/May/11 03:18
• Resolved: 04/Jan/11 16:14

Description

Martin Haeger wrote this:

We're experimenting a bit with Weka and Mahout. Our input data is a
relation in ARFF format (see attached data.training.arff), and we'd
like to classify it using Mahout. However, it seems (to us, at first)
that the Mahout classifier.bayes.interfaces.Algorithm interface is
centered around documents of text, and not general attribute data.
Thus, running the classifier causes our ARFF data to be interpreted as
a document of words, with not very useful results (see attached
mahout.log).

With Weka, we're able to get the results we want (see attached weka.log).

Any suggestions for how to get this working?

Issue Links

• is blocked by: MAHOUT-287 Bayes Classifier should use Vector as input

Sub-Tasks

• Select only Binary attributes from ARFF format for Bayes Classifier: Closed