Skip to content

Commit

Permalink
update README and TODO
Browse files Browse the repository at this point in the history
  • Loading branch information
NicolasHug committed Dec 26, 2016
1 parent 8755184 commit daf6677
Show file tree
Hide file tree
Showing 2 changed files with 11 additions and 2 deletions.
1 change: 1 addition & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -196,6 +196,7 @@ If you'd like to see some features or algorithms implemented in
ideas are:

- Non negative matrix factorization
- Bayesian PMF
- RBM for CF

Please feel free to contribute and send pull requests!
12 changes: 10 additions & 2 deletions TODO.md
Original file line number Diff line number Diff line change
@@ -1,17 +1,25 @@
TODO
====

* Better document SlopeOne and CoClustering algorithms.
* Make coclustering fully complient with paper's prediction
* Make cleaner paper citations
* Check out the yelp dataset
* See if we could compute similarity on the fly (see issue #3)
* use `expanduser` in all examples
* correct note on raw/inner ids (strings or whaterver)

Maybe, Maybe not
----------------

* allow a back up algorithm when prediction is impossible. Right now it's just
the mean rating that is predicted. Maybe user would want to choose it.
* Allow a 'biased' option in the SVD algo. If true, use baselines, if False,
don't. It should be pretty easy to do.

Done:
-----

* Allow a 'biased' option in the SVD algo. If true, use baselines, if False,
don't. It should be pretty easy to do.
* create option in __main__ to clean the .recsys directory. Actually, the
__main__ module should be entirely reviewed.
* when dumping, we should dump all the algorithm parameter. Use __dict__ ?
Expand Down

0 comments on commit daf6677

Please sign in to comment.