I have a data set as such:

0,1,0,1,1,0,0,1,5
1,1,0,1,1,0,0,1,3
1,1,0,0,1,0,0,1,1
0,1,1,0,1,1,0,0,4


I'm looking for a way to run logistic regression in python which uses several discrete values (0 or 1) to predict a numerical value (between 1-5). This seems useful but it assumes the predictor variable is also discrete: http://www.mblondel.org/tlml/logreg.py.html#

Any suggestions?


Question: Thunderbird 2.0: Inbox size is 4GB on disk: how do I reduce it?
Answer: There is definitely a 4GB limit on Windows due to Windows limitations which means you will have problem with individual Thunderbird mail folders that are larger than 4GB.

And I thought the 4GB limit existed on Mac and Linux as well (so I am curious as to how emgee can have a Thunderbird folder that's 7GB! emgee: perhaps you are referring to a Unified Folder being 7GB but your individual folders are &lt; 4GB?)

Nick's suggestion (i.e. move to new, multiple Thunderbird folders each of which is &lt;4GB. please clarify emgee) should work. More info with a complete procedure (change "Sent" to "Inbox"):
http://getsatisfaction.com/mozilla_messaging/topics/version_3_1_2_still_has_the_missing_sent_message_bug#reply_3235232