[pymvpa] Announcement: 0.4.4 release (git/sources/Debian/Ubuntu/Windows/Fedora/SuSe/RedHat/CentOS)

[Yaroslav Halchenko]

On Tue, 02 Feb 2010, Matthias Ekman wrote:

> Is this only relevant for automatic scaling of value according to the
> norm of the data (C=-1)?
yes -- for any C < 0, which triggers automagic scaling

> is this problem 'always' leading to never finished SVM training, or do
> you suggest to re-run previous (finished) analysis?

I guess if they finished -- you are fine ;)
it was only relevant to cases when SVM was asked to train on data where
all values are 0's... and even it managed to train/predict (not sure if
that could happen -- didn't wait long enough) -- it would provided as
random result as you could from data where it is all 0s ;)

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