#
##########################################################################
+# ----------- define an optional target for where to send spam (that is,
+# ------------ emails that we want to "fail", or reject to another
+# ------------ address. Note that this is NOT a "program fault" address,
+# ------------ but where to send "bad" email to in the general case.
+# ------------ You can specify tightly controlled conditions too,
# ----------- define an optional target for where to send spam,
# ----------- To NOT forward this to another account, just leave the
# ----------- address as the empty string, which is '//'.
# -------- If you would prefer to send specific kinds of spam to
# -------- different mailboxes, here's where to do it.
-# ----------(be sure to uncomment the line!)
+# -------- (be sure to uncomment the line!). Again, these are
+# --------- not "program fault" conditions, just different filter results.
#
# :fail_priority_mail_to: /where_priority_fails_go/
# :fail_blacklist_mail_to: /where_blacklist_fails_go/
:log_all_mail_to_file: //
#:log_all_mail_to_file: /my_personal_mail_log_file_name.txt/
+# --------- When we log messages, should we use a mail separator?
+# --------- And, if so, what?
+:mail_separator: /\n-=-=-=-=-=-=- cut here -=-=-=-=-=-=-\n/
+
#
# ---------- Message Cacheing for retraining - do we keep a cache of
# ---------- messages we've classified recently "in the wild" as retrain
# ------ options to shuffle.crm will work fine. Alternatively,
# ------ you can use the "sort --key 1.2" on date-named files to
# ----- achieve chronological training
-:trainer_randomizer_command: / .\/shuffle.crm /
-#:trainer_randomizer_command: / .\/crm114_tre shuffle.crm /
+:trainer_randomizer_command: /.\/shuffle.crm/
+#:trainer_randomizer_command: /.\/crm114 shuffle.crm/
#:trainer_randomizer_command: /sort --key 1.2/
#
#
#
-
-# --------- If you are using thick-threshold training of any sort,
-# ---------- (for OSBF or otherwise) put the threshold here.
-# ----------- Remember, the polarity of the thick threshold value
-# ------------ is that anything scoring less than this value
-# ------------- should be considered a trainable error, and it "flips over"
-# -------------- so that both good mail and spam have the right symmetrical
-# ---------------- polarity.
-
-# ------ a very small thick threshold (or zero!) works for Markovian.
-#:thick_threshold: /0/
-#:thick_threshold: /.001/
-# ----- a thick threshold of 5 to 20 seems good for OSB, OSBF,
-# Hyperspace, Bit-Entropy, and Winnow
-#:thick_threshold: /5.0/
-:thick_threshold: /10.0/
-#:thick_threshold: /20.0/
+# --------Thresholds for GOOD/UNSURE/SPAM thick-threshold training
+# -------
+# ------ A very small thick threshold (or zero!) works for Markovian.
+# ----- A thick threshold of 5 to 20 seems good for OSB, OSBF,
+# ---- Hyperspace, Bit-Entropy, and Winnow. If you want an asymmetric
+# --- threshold system, you can do that by having :good_threshold:
+# -- be different from :spam_threshold:. The defaults are +/- 10.0
#
+#
+# ---- Things rated equal to or better than this are GOOD email
+#:good_threshold: /0.01/
+#:good_threshold: /5.0/
+:good_threshold: /10.0/
+#:good_threshold: /20.0/
+#
+# ---- Things rated less than or equal to this are SPAM
+#:spam_threshold: /-0.01/
+#:spam_threshold: /-5.0/
+:spam_threshold: /-10.0/
+#:spam_threshold: /-20.0/
+
+# ---- mailfilter uses a single threshold and operates symmetrically.
+# --- (this is only to provide backward compatibility)
+:thick_threshold: /10.0/
# ---- What regex do we use for LEARN/CLASSIFY? the first is the
# ---- "old standard". Other ones are handy for different spam
# ---- packed HTML spam, which is almost everybody in 2003, so it
# ---- used to be the default. But since spammers have shifted away
# ---- from this, it isn't the default any longer. IF you change
-# ---- this, you MUST rebuild your .css files with roughly equal
+# ---- this, you MUST rebuild your .css files with decent
# ---- amounts of locally-grown spam and nonspam ( if you've been
# ---- following instructions and using the "reaver" cache, this is
# ---- easily done! )