me at junc
Sep 28, 2011, 5:57 AM
Post #4 of 6
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On Wed, 28 Sep 2011 14:30:32 +0200, Lars Jørgensen wrote:
> On 28-09-2011 13:20, Benny Pedersen wrote:
>>> I train Bayes manually on the borderline cases, but also have
>>> auto-learning enabled. Is that really a bad idea? Should I disable
>>> it,
>>> delete the bayes-databases and start over on manual-only learning?
>>
>> no training is always good
>
> Are you missing a comma? Do you mean "no, training is always good" or
> "no training is always good"?
no just my bolsk algebra and english is bad :)
>> what score are you learning on ?, default is -0.1 and 12.0, i have
>> changed them here to -4 and 14
>
> Can't find any settings to that effect, so I guess I am using
> defaults. I have entered your settings in my config now.
perldoc Mail::SpamAssassin::Plugin::AutoLearnThreshold
>
> Looking at
>
> http://spamassassin.apache.org/full/3.3.x/doc/Mail_SpamAssassin_Conf.html#learning_options
> i see an option called "bayes_use_hapaxes" that promises
> significantly better hit-rates, but also increases database size by a
> factor of 8 to 10. What is the recommendation on this?
dont known for sure what is best there, using default here
perldoc Mail::SpamAssassin::Plugin::Bayes
perldoc Mail::SpamAssassin::Conf
for 3.3.1 and above i add in local.cf
bayes_auto_learn_on_error 1
reduce poising bayes and load
> If throughput
> is a factor in this decision, we are scanning about 60,000 to 90,000
> mails a day.
more then my server handle now
>
>> what plugins have you enabled ?
>
> DCC
> pyzor/razor
> SpamCop
> AutoLearnThreshold
> TextCat
> MIMEHeader
> ReplaceTags
> DKIM
> Check
> HTTPSMismatch
> URIDetail
> Bayes
> All the EvalTest plugins
> VBounce
> ImageInfo
> FreeMail
>
>> 3dr party rules or just default sa 3.3.2 ?
>
> Default and Sought Rules.
should be safe enough to not give any problem to bayes
tip if you like to restart learning bayes on can do this like here:
sa-learn --dump magic
bayes_min_ham_num (Default: 200)
bayes_min_spam_num (Default: 200)
and adjust this with 200 more then listed in dump magic, this ensure
that bayes go back in learning mode
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