[Numpy-discussion] Partial least squares

Nadav Horesh nadavh@visionsense....
Thu Mar 24 15:57:46 CDT 2011

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.


From: numpy-discussion-bounces@scipy.org [numpy-discussion-bounces@scipy.org] On Behalf Of Gael Varoquaux [gael.varoquaux@normalesup.org]
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 <nadavh@visionsense.com>:
> > 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 :)

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