On Tue, Feb 2, 2010 at 11:34 AM, Steve <[email protected]> wrote:
>> Does the rule of "Any user who has less than 1000 innocent messages or
>> 250 spam messages in
>>   their corpus, or whose filter is uncertain about a particular message
>> will
>>   consult the global dictionary for an answer." apply to merged groups?
>>
> No. User tokens will ALWAYS be merged together with the merged group. 
> Regardless of their statistics.
>
>
>> Does the user that represents merged group, not the users that were
>> added to the group, need to be added as virtual user?
>>
> Virtual user of what? The MTA? DSPAM? Please be more specific.

DSPAM Virtual UID.


>
>
>> Correct me if I am wrong, merged user will always learn from all the
>> users' teachings.
>>
> No.
>
> When checking the tokens then this is the data set:
> [merged group tokens] + [merged group member tokens]
>
> When learning then the tokens go into the storage of [merged group member]
>
> If you want to add/remove/modify tokens for [merged group] then you need to 
> train that group separately. Training that merged group however will result 
> in indirect training for all merged group members.
>

Does this mean that I need to periodically run dspam_merge?

Lets say the merged group identifies a message to be spam, but the
same type of message merged group member has identified as ham.  What
happens to this type of message addressed to this member?

>
>> Thanks in advance
>>
> Steve

BTW... as per your recommendation,  sqlgrey, grossd, sid-filter,
opedkim, policyd-weight  is phenomenal.  I can't believe how well it
is working.

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