On Thu, 13 Dec 2012, motty cruz wrote:
Thank you very much John,
I tried this
chown -R vscan:vscan /var/spool/amavis/.spamassassin
and now bayes score are showing up in the headers. Also, i tried the right
sa- database.
Thanks a bunch.
Happy to help!
--
John Hardin KA7OHZ
Thank you very much John,
I tried this
chown -R vscan:vscan /var/spool/amavis/.spamassassin
and now bayes score are showing up in the headers. Also, i tried the right
sa- database.
Thanks a bunch.
On Wed, Dec 12, 2012 at 3:12 PM, John Hardin wrote:
> On Wed, 12 Dec 2012, motty cruz wrote:
>
On Wed, 12 Dec 2012, motty cruz wrote:
Thanks John,
It does not show up in any message at all!
here is the sa-learn --dump magic command:
# sa-learn --dump magic
0.000 0 4680 0 non-token data: nspam
0.000 0 88357 0 non-token data: nham
Ok, so th
Thanks John,
It does not show up in any message at all!
here is the sa-learn --dump magic command:
# sa-learn --dump magic
0.000 0 3 0 non-token data: bayes db version
0.000 0 4680 0 non-token data: nspam
0.000 0 88357 0 n
On Wed, 12 Dec 2012, motty cruz wrote:
here is the header:
X-Spam-Status: No, score=5.243 tagged_above=-999 required=5.3
tests=[DATE_IN_PAST_12_24=0.804, DKIM_ADSP_CUSTOM_MED=0.001,
FREEMAIL_FROM=0.001, INVALID_DATE=0.432, MISSING_MID=0.14,
NML_ADSP_CUSTOM_MED=1.2, RDNS_NONE=2.013, SPF
First, by "check in debug mode" do you mean running spamassassin -D?
i was using spamassassin -dtD but as root user :-( and all bayes data
were learnt as root user too.
If so, are you SURE this is going to use the same bayes db as calling
spamc?
Important points to check before answering th
freightcar wrote:
>> First, by "check in debug mode" do you mean running spamassassin -D?
>
> i was using spamassassin -dtD but as root user :-( and all bayes data
> were learnt as root user too.
>
> that was exactly my problem. debug as root while spamd was running as
> spamd. now I updated /etc/m
It's the user's home directory.
The bayes db (as well as much more usefull to spamassassin) is in there.
Running SA from another user you get working another (possibly empty)
bayes db.
that is exactly it. i was running sa-learn as root (with
/root/.spammassassin db) and daemon was runn
First, by "check in debug mode" do you mean running spamassassin -D?
i was using spamassassin -dtD but as root user :-( and all bayes data were
learnt as root user too.
If so, are you SURE this is going to use the same bayes db as calling
spamc?
Important points to check before answering t
On Wed, 25 Oct 2006 09:50:15 -0400, Giampaolo Tomassoni
<[EMAIL PROTECTED]> wrote:
man,you are damn right! :-) if i run it as SA user (mail) i get
BAYES_00.
so now what? ;-) is it the learnt data and permissions or what?
It's the user's home directory.
The bayes db (as well as much more use
freightcar wrote:
> exim 4.50, spamassassin 3.0.3
>
> I have spamd daemon running and when the message is checked
> automatically it gets BAYES_00 and when I check the same message in
> debug mode it gets BAYES_99 which means 6 pts less with default
> settings. all other test seem to get same resu
At 01:17 AM 8/31/2005, Beast wrote:
Sorry, I mean from where it calculate 1.0 and 3.5?
Those are the spamassassin score. They aren't calculated on your end,
they're generated during the mass-checks done by the developers and
contributors.
To SA, bayes is just another group of rules. They ge
> Sorry, I mean from where it calculate 1.0 and 3.5?
It doesn't calculate those vaules. They are assigned in 50_scores.cf to the
5 or so BAYES_nn rules. So the probability of the mail being spam is say
67%, and this triggers the BAYES_60 rule, which has some score assigned in
the rule scores fil
Jeremy Kister wrote:
* 1.0 BAYES_60 BODY: Bayesian spam probability is 60 to 80%
* [score: 0.6710]
67.1% likely to be spam
* 3.5 BAYES_99 BODY: Bayesian spam probability is 99 to 100%
* [score: 1.]
100% likely to be spam
Sorry, I mean from
At 01:06 AM 8/31/2005, Beast wrote:
What is the meaning of [score: ] in BAYES_* ?
That's the "bayes score" which is the probability of spam as calculated
from the bayesian statistics. It's in decimal form, so multiply by 100 if
you're used to dealing with percentages. (ie: 1.0 = 100%, 0.
On 8/31/2005 1:06 AM, Beast wrote:
> What is the meaning of [score: ] in BAYES_* ?
multiply by 100; the product is the probability percentage of the
message being spam.
> * 1.0 BAYES_60 BODY: Bayesian spam probability is 60 to 80%
> * [score: 0.6710]
67.1% likely to b
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