RW-15 wrote:
>
> On Fri, 12 Feb 2010 17:51:12 +0000
> RW <rwmailli...@googlemail.com> wrote:
>
>> On Fri, 12 Feb 2010 09:17:54 -0800 (PST)
>> smfabac <smfa...@att.net> wrote:
>>
>> >
>>
>> > Mark,
>> >
>> > On UNIX any file is a mbox file if it contains mail messages in the
>> > form:
>> >
>> > ^A^A^A^A
>> > mail headers
>> > mail body
>> > ^A^A^A^A
>> > ^A^A^A^A
>> > Next Message mail headers
>> > mail body
>> > ^A^A^A^A
>>
>> I don't know what that is, but it's not a standard mbox format.
>>
>> In mbox format the emails all start with a blank line and a From.
>
>
> It appears to be mmdf format
>
> http://www.washington.edu/imap/documentation/formats.txt.html
>
>
Ok,
Now that we're all on the same page. How do I find out why sa-learn
is not processing the legal not-spam file? To re-cap, "sa-learn --spam
--mbox isspam" works but "sa-learn --ham --mbox not-spam" is not
working.
The sa-learn --dump magic shows that messages have been
added by the sa-learn command:
$ sa-learn --dump magic
0.000 0 3 0 non-token data: bayes db version
0.000 0 12551 0 non-token data: nspam
0.000 0 68020 0 non-token data: nham
0.000 0 143948 0 non-token data: ntokens
0.000 0 1260104403 0 non-token data: oldest atime
0.000 0 1266048014 0 non-token data: newest atime
0.000 0 1266049794 0 non-token data: last journal sync
atime
0.000 0 1265630710 0 non-token data: last expiry atime
0.000 0 5529600 0 non-token data: last expire atime
delta
0.000 0 19095 0 non-token data: last expire
reduction co
unt
$ sa-learn --spam --mbox isspam
Learned tokens from 1 message(s) (1 message(s) examined)
$
$ sa-learn --dump magic
0.000 0 3 0 non-token data: bayes db version
0.000 0 12552 0 non-token data: nspam
0.000 0 68020 0 non-token data: nham
0.000 0 144608 0 non-token data: ntokens
0.000 0 1260104403 0 non-token data: oldest atime
0.000 0 1266048014 0 non-token data: newest atime
0.000 0 1266049794 0 non-token data: last journal sync
atime
0.000 0 1265630710 0 non-token data: last expiry atime
0.000 0 5529600 0 non-token data: last expire atime
delta
0.000 0 19095 0 non-token data: last expire
reduction co
unt
$
As you can see the nspam has incremented by 1.
$ sa-learn --ham --mbox not-spam
Learned tokens from 0 message(s) (0 message(s) examined)
$
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Folder: not-spam Saturday February 13, 2010
2:34
---------------------------------- [1] Message
--------------------------------
1 gerb...@zenez.co 11 Feb 10 6404 Quarterly ASCII posting of SCO
Uni
Is there a message size limit for sa-learn? The message in not-spam is
plain ascii, no html.
$ wc -l not-spam
6408 not-spam <-- sa-learn --ham failed on not-spam folder with one
message
$
$ wc -l isspam
1039 isspam <-- sa-learn --spam worked on isspam folder with one
message
$
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