> So, now I am really confused. I think I did everything right in > user_prefs: > > bayes_auto_learn 1 > bayes_auto_learn_threshold_nonspam -2.00 > bayes_auto_learn_threshold_spam 6.00 > bayes_auto_learn_on_error 0 > > [snip] > > tflags URIBL_DBL_SPAM autolearn_force > tflags URIBL_JP_SURBL autolearn_force > tflags URIBL_BLACK autolearn_force > tflags INVALID_DATE autolearn_force > > Nonetheless: > > X-Spam-Score: 6.9 > X-Spam-Tests: BAYES_99=3.5,BAYES_999=0.2,HTML_FONT_LOW_CONTRAST=0.001, > HTML_MESSAGE=0.001,MIME_HTML_ONLY=0.723,RDNS_NONE=0.793,SPF_PASS=-0.001, > T_REMOTE_IMAGE=0.01,URIBL_BLACK=1.7 > X-Spam-Autolearn: no autolearn_force=no
And here's a case where it doesn't autolearn ham (same user_prefs as above): X-Spam-Status: No X-Spam-Level: X-Spam-Score: -2.7 X-Spam-Tests: BAYES_00=-1.9,DKIM_SIGNED=0.1,DKIM_VALID=-0.1,DKIM_VALID_AU=-0.1, FREEMAIL_FORGED_FROMDOMAIN=0.001,FREEMAIL_FROM=0.001, HEADER_FROM_DIFFERENT_DOMAINS=0.001,HTML_MESSAGE=0.001,RCVD_IN_DNSWL_LOW=-0.7, RCVD_IN_MSPIKE_H2=-0.001,SPF_PASS=-0.001 X-Spam-Autolearn: no autolearn_force=no The documentation certainly doesn't say anything like the 3/3 and force mechanism is in place for ham. So this _should_ autolearn. Right? Right?? -- Please *no* private copies of mailing list or newsgroup messages.
