Hey Everybody. Here is my somewhat consolidated list of ideas with minor comments. If anything is missing, please let me know. Also, I don't think people who want to mentor spoke up yet. I'll remove all people listed on the wiki as they were copy and pasted from last year, and I'd rather have actual confirmation.
Topics: DPGMM / VBGMM: need to be reimplemented using more standard variational updates. The GMM is actually fine atm (after a couple of pending PRs) spearmint : Using random forest (they actually use ours) for hyperparameter optimization. I need to mull this over but I think this should be easy enough and pretty helpful. Online low-rank matrix completion : this is from last year and I'm not sure if it is still desirable / don't know the state of the PR Multiple metric support : This is somewhat API heavy but I think PLS/CCA : They need love so very much, but I'm not sure we have a mentor (if there is one, please speak up!):q Ensemble Clusters : Proposed by a possible student (Milton) but I think it is interesting. Semi-Supervised Learning : Meta-estimator for self-taught learning. Not sure if there is actually much demand for it, but would be nice. Additive models: Proposed by ragv, but I'm actually not that sold. We could include pyearth, but I'm not sure how valuable the other methods are. Including a significant amount of algorithms just for completeness is not something I feel great about. That being said, ragv has put in a tremendous amount of great work and I feel we should definitely find a project for him (as he seems interested). Things that I think shouldn't be GSOC projects: GPs : Jan Hendrik is doing an awesome job there. MLP : Will be finished soon, either by me or possibly by ragv data-independent cross-validation : already a bunch of people working on that, I don't think we should make it GSOC. Feedback welcome. Andy ------------------------------------------------------------------------------ Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
