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authorJosh Soref <2119212+jsoref@users.noreply.github.com>2022-02-22 17:01:28 -0500
committerGitHub <noreply@github.com>2022-02-22 22:01:28 +0000
commit2b8e6958f40ef36c1508118ac36a43694283a83c (patch)
treefa9a9b6843546bdb297b00bc78b83ab4c318f724 /lualib/plugins/neural.lua
parent85faeb34719e2b0898d319b02416f669d70f4562 (diff)
downloadrspamd-2b8e6958f40ef36c1508118ac36a43694283a83c.tar.gz
rspamd-2b8e6958f40ef36c1508118ac36a43694283a83c.zip
Spelling (#4086)
[Rework] Massive spelling fix from @jsoref
Diffstat (limited to 'lualib/plugins/neural.lua')
-rw-r--r--lualib/plugins/neural.lua6
1 files changed, 3 insertions, 3 deletions
diff --git a/lualib/plugins/neural.lua b/lualib/plugins/neural.lua
index 3ce91b5e2..ba8550a42 100644
--- a/lualib/plugins/neural.lua
+++ b/lualib/plugins/neural.lua
@@ -456,7 +456,7 @@ local function can_push_train_vector(rule, task, learn_type, nspam, nham)
if nspam <= train_opts.max_trains then
if train_opts.spam_skip_prob then
if coin <= train_opts.spam_skip_prob then
- rspamd_logger.infox(task, 'skip %s sample probabilisticaly; probability %s (%s skip chance)', learn_type,
+ rspamd_logger.infox(task, 'skip %s sample probabilistically; probability %s (%s skip chance)', learn_type,
coin, train_opts.spam_skip_prob)
return false
end
@@ -471,7 +471,7 @@ local function can_push_train_vector(rule, task, learn_type, nspam, nham)
if nham <= train_opts.max_trains then
if train_opts.ham_skip_prob then
if coin <= train_opts.ham_skip_prob then
- rspamd_logger.infox(task, 'skip %s sample probabilisticaly; probability %s (%s skip chance)', learn_type,
+ rspamd_logger.infox(task, 'skip %s sample probabilistically; probability %s (%s skip chance)', learn_type,
coin, train_opts.ham_skip_prob)
return false
end
@@ -533,7 +533,7 @@ local function spawn_train(params)
else
local inputs, outputs = {}, {}
- -- Used to show sparsed vectors in a convenient format (for debugging only)
+ -- Used to show parsed vectors in a convenient format (for debugging only)
local function debug_vec(t)
local ret = {}
for i,v in ipairs(t) do