Note also that logistic regression is a specialization of a family of
techniques called generalized linear modeling. If you play your cards
right, you can implement logistic, probit, Poisson and various kinds of
linear regression all in one step. If you use the outline from Andrew's
code, then you also will get a Bayesian framework for it as well which can
be used for all kinds of interesting add-ons.
> I'm a junior student, and I would like to apply for Logistic Regression in
> Mahout. I've read the NIPS paper, and I hope can implement the LR for both
> binary class and Multiclass. How do you think?
> Best regards,
> Yun Jiang
On Saturday 29 March 2008, Ted Dunning wrote:
> The basic outline is to set up a Jira request for enhancement that
> describes what you want to do, write or find a sequential version for
> reference and then start on the actual coding.
If you want to get funding for your project from Google, you might in addition
add an application at the GSoC web application.
Systems programmers are the high priests of a low cult. -- R. S. Barton
|\ _,,,---,,_ Web: <http://www.isabel-drost.de>
/,`.-'`' -. ;-;;,_
|,4- ) )-,_..;\ ( `'-'
'---''(_/--' `-'\_) (fL) IM: <xmpp://[hidden email]>