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| author | Vsevolod Stakhov <vsevolod@highsecure.ru> | 2019-10-24 17:28:04 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2019-10-24 17:28:04 +0100 |
| commit | 75547bea6eea8fc929afbf79847e3f1b10bbedcc (patch) | |
| tree | 0c09b249eb7008f3c97c780ea907c0a9f4ba226d | |
| parent | 26eff813e8e951bc1470ed4667ecaabd0aa0588f (diff) | |
| parent | ad02d15edfe5cae341a73a6bdd3a94ec5ca0caff (diff) | |
| download | rspamd-75547bea6eea8fc929afbf79847e3f1b10bbedcc.tar.gz rspamd-75547bea6eea8fc929afbf79847e3f1b10bbedcc.zip | |
Merge pull request #3118 from moisseev/patch-1
[Conf] Update neural.conf
| -rw-r--r-- | conf/modules.d/neural.conf | 4 |
1 files changed, 1 insertions, 3 deletions
diff --git a/conf/modules.d/neural.conf b/conf/modules.d/neural.conf index 7f3deeb4e..80db14552 100644 --- a/conf/modules.d/neural.conf +++ b/conf/modules.d/neural.conf @@ -18,8 +18,6 @@ neural { train { max_train = 1k; # Number of trains per epoch max_usages = 20; # Number of learn iterations while ANN data is valid - spam_score = 8; # Score to learn spam - ham_score = -2; # Score to learn ham learning_rate = 0.01; # Rate of learning (Torch only) max_iterations = 25; # Maximum iterations of learning (Torch only) } @@ -34,4 +32,4 @@ neural { .include(try=true,priority=5) "${DBDIR}/dynamic/neural.conf" .include(try=true,priority=1,duplicate=merge) "$LOCAL_CONFDIR/local.d/neural.conf" .include(try=true,priority=10) "$LOCAL_CONFDIR/override.d/neural.conf" -}
\ No newline at end of file +} |