"Thomas" == Thomas Krichel <krichel@openlib.org> writes:
Thomas> Peter Chubb via Mailman-users writes
What I'd like is a way for emails that I click 'discard' on in Postorius, to be submitted to the spamassassin Bayes classifier to make it more likely similar ones will be rejected in future at SMTP conversation time.
Thomas> Well anybody who has saved emails classified as spam by Thomas> spamassassin will have no shortage of sample spam Thomas> emails. Saving the emails to a Mailman instance will only Thomas> bring added value if these emails are different from the Thomas> general spam. All evidence that I have had with spam suggest Thomas> that spam is sent indiscriminately, i.e. without considering Thomas> what type of person (or list) is the recipient.
The headers are taken into account by the Bayes classifier. I used to use James Hendrihs solution with Mailman 2: https://www.jamesh.id.au/articles/mailman-spamassassin/
I think I can adapt his mmlearn script ...
Peter C