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Ted Dunning commented on MAHOUT-122: ------------------------------------ Just for grins, I plotted the max memory usage versus number of instances. The relationship (so far) is very much a straight line. The fit that R gives me is 450 (se=25) bytes per data instance with a fixed overhead of 23MB (se=14MB). The fixed overhead can't necessarily be distinguished from zero, but it looks right. The 450 byte overhead per training instance seems a little bit high, but I don't know the data well so it might be pretty reasonable. The original data size was about 100 bytes. > Random Forests Reference Implementation > --------------------------------------- > > Key: MAHOUT-122 > URL: https://issues.apache.org/jira/browse/MAHOUT-122 > Project: Mahout > Issue Type: Task > Components: Classification > Affects Versions: 0.2 > Reporter: Deneche A. Hakim > Attachments: 2w_patch.diff, 3w_patch.diff, RF reference.patch > > Original Estimate: 25h > Remaining Estimate: 25h > > This is the first step of my GSOC project. Implement a simple, easy to > understand, reference implementation of Random Forests (Building and > Classification). The only requirement here is that "it works" -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.