On Sun, 22 Mar 2015 12:44:26 -0400
Alex Regan wrote:
[...]
> So instead of trying to figure out the proper expiry period, you just
> start over completely every two weeks?
No, we use a two-week sliding window to construct our Bayes DB. We don't learn
for two weeks and then dump everything; ra
Am 22.03.2015 um 17:44 schrieb Alex Regan:
Would it be helpful to have something that graphs the data to monitor
the effect of learning changes? Does something already exist?
i am doing something similar recently by one per night iterate through
all ham/spam smaples to get a overview how they
Hi,
I think it seldom pays to be too clever with Bayes. If (and this is a
big if) you have a large enough sample of mail, in our experience it's
better just to shovel it all into Bayes than to be selective about
what you present to Bayes. The Bayes algorithms are usually pretty
good at picking
On Sat, 21 Mar 2015 20:51:49 +
RW wrote:
The two calculations produce the same result when
Ns2/Nh2 = (Ns2-Ns1)/(Nh2-Nh1)
i.e. if spam and ham is being added in the same ratio that it occurs
in the database.
On 21.03.15 22:54, David F. Skoll wrote:
Yup, that's correct; I got it wrong
