Yes, he is. I'll work on it early next week, and post any comment I'll have. Documentation quality: The code doc refer to an excellent reference [Wegelin et al. 2000], so no real problem here. If the reference is critical I would suggest on of the following: 1. Put a link to the document. 2. Is it possible to copy the paper to the project site? As the paper becomes old (on the internet time scale), it becomes volatile, and may vanish while the project is still alive.
Nadav. ________________________________________ From: [email protected] [[email protected]] On Behalf Of Gael Varoquaux [[email protected]] Sent: 24 March 2011 22:04 To: Discussion of Numerical Python Subject: Re: [Numpy-discussion] Partial least squares On Thu, Mar 24, 2011 at 08:15:12PM +0100, Olivier Grisel wrote: > 2011/3/24 Nadav Horesh <[email protected]>: > > I am looking for a partial least sqaures code refactoring for two (X,Y) > > matrices. I found the following, but they not not work for me: > > 1. MDP: Factors only one matrix (am I wrong?) > > 2. pychem: Windows only code (I use Linux) > > 3. chemometrics from Koders: I get a singularity error. > > 4. pca_module (By Risvik): same problem as MDP > > Any suggestion? > There is one in the master of scikits.learn: > > https://github.com/scikit-learn/scikit-learn/blob/master/scikits/learn/pls.py > > https://github.com/scikit-learn/scikit-learn/blob/master/examples/plot_pls.py Olivier shoots faster than I do :) G _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
