Andy Twigg created MAHOUT-1153:
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Summary: Implement streaming random forests
Key: MAHOUT-1153
URL: https://issues.apache.org/jira/browse/MAHOUT-1153
Project: Mahout
Issue Type: New Feature
Components: Classification
Affects Versions: 0.7
Reporter: Andy Twigg
The current random forest implementations are in-core and not scalable. This
issue is to add an out-of-core, scalable, streaming implementation. Initially
it could be based on [1], and using mappers in a master-worker style.
An implementation has begun at https://github.com/andytwigg/mahout/ - see
classes in classifier.df and classifier.df.spdt. Once that is cleaner, we can
make a patch from it.
[1] http://jmlr.csail.mit.edu/papers/volume11/ben-haim10a/ben-haim10a.pdf
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