How do I train Ham/Spam?

[blakegonzales]

First off, let me apologize if this is covered elsewhere. I've looked through the discussions and the website and didn't find much.

I'm using rspamd with DMS and would like to train several dozen ham and spam emails. There is some documentation here: https://rspamd.com/doc/quickstart.html#using-rspamc-console-routine

#Training the Bayesian classifier
rspamc learn_spam < file.eml
rspamc learn_ham file.eml

Although, I cannot seem to find rspamc 🤨. Maybe there is a better method?

I would appreciate someone pointing me in the right direction!

[polarathene]

@georglauterbach may be able to assist when they have time.

Some of the rspamd integration requires using DMS specific configuration layer AFAIK, so this may require an update to our docs if not covered.

[georglauterbach]

First off, let me apologize if this is covered elsewhere. I've looked through the discussions and the website and didn't find much.

I'm using rspamd with DMS and would like to train several dozen ham and spam emails. There is some documentation here: https://rspamd.com/doc/quickstart.html#using-rspamc-console-routine

#Training the Bayesian classifier rspamc learn_spam < file.eml rspamc learn_ham file.eml

Although, I cannot seem to find rspamc 🤨. Maybe there is a better method?

I am not completely sure I understand what you mean by that, but I will just take a guess: you don't know where to acquire the rspamc command? If this is the case, you'll find that the solution is very nice and simple: you do not need to do anything; rspamc is a command that is already installed in DMS (when you install Rspamd, the command rspamc comes as well), i.e. rspamc is in $PATH:

$ docker exec -ti mailserver bash
root@mailserver # which rspamc
/usr/bin/rspamc
root@mailserver # # now you can use it
root@mailserver # rspamc learn_spam /path/to/spam/email

If I'm not mistaken, the results are persisted in Redis, which comes pre-configured as well if you didn't disable it manually.

[blakegonzales]

This is very helpful! Thank you!!