On Tue, Jan 24, 2012 at 11:07:20PM +0100, Andreas wrote:
> Taking the mean means that if a feature has a strong positive weight for one
> class and a strong negative weight for another class, they might cancel,
> leading to the feature being not present in the solution.
> Why does that make sense? Or should the absolute value be taken before?

It does look like a bug.

> The other thing is the thresholding. The thresholding is also
> done without taking the absolute value. This means all features that
> are negative on average (whatever that means?) are left out.

Same thing.

G

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