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authorcebka@lenovo-laptop <cebka@lenovo-laptop>2010-02-04 20:58:47 +0300
committercebka@lenovo-laptop <cebka@lenovo-laptop>2010-02-04 20:58:47 +0300
commitf57b47be64858f088fc0406c05d8fed94f5f9477 (patch)
tree92489e4820556d7afb190622aab8bc0b84dccfeb /rspamd.conf.sample
parentbb5a1a9fb091ae443dd37c497fcf9202649ba95d (diff)
downloadrspamd-f57b47be64858f088fc0406c05d8fed94f5f9477.tar.gz
rspamd-f57b47be64858f088fc0406c05d8fed94f5f9477.zip
* Add a little review of rspamd
* Add local_scan.c from Anton Nekhoroshikh for exim MTA
Diffstat (limited to 'rspamd.conf.sample')
-rw-r--r--rspamd.conf.sample29
1 files changed, 16 insertions, 13 deletions
diff --git a/rspamd.conf.sample b/rspamd.conf.sample
index 91a7fac09..43febafca 100644
--- a/rspamd.conf.sample
+++ b/rspamd.conf.sample
@@ -114,24 +114,27 @@ classifier {
statfile {
# Alias is used for learning and is used as symbol
symbol = "WINNOW_SPAM";
- # Pattern is path to file, can include %r - recipient name and %f - mail from value
- path = "/tmp/test.spam";
+ # Pattern is path to file
+ path = "/tmp/test.spam";
# Size of this statfile class
size = 10M;
- # Tokenizer for this statfile
- # Deafault: osb-text
- #tokenizer = "osb-text";
- autolearn {
- min_mark = 10.0;
- };
+
+ # Used for normalizing results, number means maximum score for this
+ # class
+ normalizer="internal:10";
+ # Autolearn params
+ #autolearn {
+ # min_mark = 10.0;
+ #};
};
statfile {
symbol = "WINNOW_HAM";
path = "/tmp/test.ham";
size = 10M;
- autolearn {
- max_mark = 0.1;
- };
+ # Autolearn params
+ #autolearn {
+ # max_mark = 0.1;
+ #};
};
};
@@ -355,13 +358,13 @@ view {
};
# Settings files
-settings {
+#settings {
# json data for user's settings
#user_settings = "file:///some/json/file";
# json data for domain's settings
#domain_settings = "file:///some/other/json/file";
-};
+#};
# Example of json config:
# [