On Mon, Oct 14, 2013 at 5:20 PM, Andrew McCallum
<notifications@github.com>wrote:

> Alex: So our policy is that if you want a "bias" factor then you have to
> add an always-on feature to your feature vector? I see the efficiency of
> this, but it seems sad to me.
>

It seems a lot easier to work with, for me.

Luke and I have a sketch of a factor-like object to use in classification
and other things which implements two methods: a score method and a
"accumulate sufficient statistics" method. This can be used to cleanly
implement bias factors, as well as neurons in a neural net. We'll probably
not merge it before 1.0 though.

-- 
 - Alexandre