hi dpam_train question
How do we train dspam in advance using a corpus of good emails and spam emails -- using dspam_train Since a balanced corpus training of spam and ham is required. we can have two seperate maildirs say : [EMAIL PROTECTED] and [EMAIL PROTECTED] The emails will be those already processed by dspam and containing dspam signature and seperated out by us manually. question 1) Is the above correct ? Or do we need to train using pristine ham and spam messages prior to the installation of dspam ? question 2) As per the dspam man page dspam_train tool "will present each message to dspam for a classification and then retrain only if the ** message was incorrect **." thanks rajesh mahadevan
