Den 2012-08-21 03:05, David Rees skrev:
> Can you clarify what you mean by "I'm doing it wrong"? I don't
> follow.
> I have a good understanding of how dspam classifies mail.
all mail must be sent to dspam, and if you later deside that a specific
mail is spam, it needs to be sent to dspam for r
On Mon, Aug 20, 2012 at 1:19 PM, k...@rice.edu wrote:
> On Mon, Aug 20, 2012 at 11:53:45AM -0700, David Rees wrote:
>> Is there a way to get debug information about what dspam is doing?
>> It's not obvious from the documentation I've read so far...
>
> You can try enabling the "Add the factoring t
On Mon, Aug 20, 2012 at 5:34 PM, Benny Pedersen wrote:
> Den 2012-08-20 20:24, David Rees skrev:
>> Is there anything I can do to fix this or get additional information
>> to debug the issue?
>
> nope, the model you are using is not working (g)
>
> if you just tag mails incomming and you get one s
Den 2012-08-20 20:24, David Rees skrev:
> Is there anything I can do to fix this or get additional information
> to debug the issue?
nope, the model you are using is not working (g)
if you just tag mails incomming and you get one spam, then learn that
as spam, not relearn it all as not spam
ds
On Mon, Aug 20, 2012 at 11:53:45AM -0700, David Rees wrote:
> On Mon, Aug 20, 2012 at 11:30 AM, k...@rice.edu wrote:
> > You have just been whammied by the "TEFT-is-a-bad-bad-idea" problem. I
> > suspect
> > that if you look at the tokens involved, because of TEFT's constant
> > storing/updating
On Mon, Aug 20, 2012 at 11:30 AM, k...@rice.edu wrote:
> You have just been whammied by the "TEFT-is-a-bad-bad-idea" problem. I suspect
> that if you look at the tokens involved, because of TEFT's constant
> storing/updating
> of tokens, you have very large counts. This means that you would need
On Mon, Aug 20, 2012 at 11:24:04AM -0700, David Rees wrote:
> I've run into a situation where I get emails that so stubborn that
> even after repeated training they still classify as spam when they
> should be innocent.
>
> I have always retrained these messages when I've found them in my spam fol
I've run into a situation where I get emails that so stubborn that
even after repeated training they still classify as spam when they
should be innocent.
I have always retrained these messages when I've found them in my spam folder.
For a long time I used teft, but recently I've switched to toe t
