params.rule.prefix, params.set.name)
end
- local roc_thresholds
+ local roc_thresholds = {}
if params.rule.roc_enabled then
local spam_threshold = get_roc_thresholds(train_ann,
inputs,
params.rule.roc_misclassification_cost,
1 - params.rule.roc_misclassification_cost)
roc_thresholds = {spam_threshold, ham_threshold}
- end
- rspamd_logger.messagex("ROC thresholds: (spam_threshold: %s, ham_threshold: %s)",
- roc_thresholds[1], roc_thresholds[2])
+ rspamd_logger.messagex("ROC thresholds: (spam_threshold: %s, ham_threshold: %s)",
+ roc_thresholds[1], roc_thresholds[2])
+ end
if not seen_nan then
-- Convert to strings as ucl cannot rspamd_text properly
*** Test Cases ***
Train
Sleep 2s Wait for redis mess
- FOR ${INDEX} IN RANGE 1 11
- Scan File ${MESSAGE} Settings={symbols_enabled = ["SPAM_SYMBOL${INDEX}"]}
+ FOR ${INDEX} IN RANGE 4 14
+ Scan File ${MESSAGE} Settings={symbols_enabled = ["SPAM_SYMBOL1", "SPAM_SYMBOL2", "SPAM_SYMBOL3", "SPAM_SYMBOL${INDEX}"]}
Expect Symbol SPAM_SYMBOL${INDEX}
- Scan File ${MESSAGE} Settings={symbols_enabled = ["HAM_SYMBOL${INDEX}"]}
+ Scan File ${MESSAGE} Settings={symbols_enabled = ["HAM_SYMBOL1", "HAM_SYMBOL2", "HAM_SYMBOL3", "HAM_SYMBOL${INDEX}"]}
Expect Symbol HAM_SYMBOL${INDEX}
END
Check Neural HAM
- Sleep 2s Wait for neural to be loaded
- Scan File ${MESSAGE} Settings={symbols_enabled = ["HAM_SYMBOL1","HAM_SYMBOL2","HAM_SYMBOL5"];groups_enabled=["neural"];symbols_disabled = ["NEURAL_LEARN"]}
+ Sleep 5s Wait for neural to be loaded
+ Scan File ${MESSAGE} Settings={symbols_enabled = ["HAM_SYMBOL1","HAM_SYMBOL2","HAM_SYMBOL3","HAM_SYMBOL8"];groups_enabled=["neural"];symbols_disabled = ["NEURAL_LEARN"]}
Expect Symbol NEURAL_HAM_SHORT
Do Not Expect Symbol NEURAL_SPAM_SHORT
#Expect Symbol NEURAL_HAM_SHORT_PCA
#Do Not Expect Symbol NEURAL_SPAM_SHORT_PCA
Check Neural SPAM
- Scan File ${MESSAGE} Settings={symbols_enabled = ["SPAM_SYMBOL2","SPAM_SYMBOL4","SPAM_SYMBOL6","SPAM_SYMBOL8"];groups_enabled=["neural"];symbols_disabled = ["NEURAL_LEARN"]}
+ Scan File ${MESSAGE} Settings={symbols_enabled = ["SPAM_SYMBOL1","SPAM_SYMBOL2","SPAM_SYMBOL3","SPAM_SYMBOL8"];groups_enabled=["neural"];symbols_disabled = ["NEURAL_LEARN"]}
Expect Symbol NEURAL_SPAM_SHORT
Do Not Expect Symbol NEURAL_HAM_SHORT
#Expect Symbol NEURAL_SPAM_SHORT_PCA
Train INVERSE
- FOR ${INDEX} IN RANGE 1 11
- Scan File ${MESSAGE} Settings={symbols_enabled = ["SPAM_SYMBOL${INDEX}"]; SPAM_SYMBOL${INDEX} = -5;}
+ FOR ${INDEX} IN RANGE 4 14
+ Scan File ${MESSAGE} Settings={symbols_enabled = ["SPAM_SYMBOL1", "SPAM_SYMBOL2", "SPAM_SYMBOL3","SPAM_SYMBOL${INDEX}"]; SPAM_SYMBOL1 = -5; SPAM_SYMBOL2 = -5; SPAM_SYMBOL3 = -5; SPAM_SYMBOL${INDEX} = -5;}
Expect Symbol SPAM_SYMBOL${INDEX}
- Scan File ${MESSAGE} Settings={symbols_enabled = ["HAM_SYMBOL${INDEX}"]; HAM_SYMBOL${INDEX} = 5;}
+ Scan File ${MESSAGE} Settings={symbols_enabled = ["HAM_SYMBOL1", "HAM_SYMBOL2", "HAM_SYMBOL3","HAM_SYMBOL${INDEX}"]; HAM_SYMBOL1 = 5; HAM_SYMBOL2 = 5; HAM_SYMBOL3 = 5; HAM_SYMBOL${INDEX} = 5;}
Expect Symbol HAM_SYMBOL${INDEX}
END
Check Neural HAM INVERSE
- Sleep 2s Wait for neural to be loaded
- Scan File ${MESSAGE} Settings={symbols_enabled = ["HAM_SYMBOL1","HAM_SYMBOL2","HAM_SYMBOL5"];groups_enabled=["neural"]}
+ Sleep 5s Wait for neural to be loaded
+ Scan File ${MESSAGE} Settings={symbols_enabled = ["HAM_SYMBOL1","HAM_SYMBOL2","HAM_SYMBOL3","HAM_SYMBOL5",];groups_enabled=["neural"]}
Expect Symbol NEURAL_SPAM_SHORT
#Expect Symbol NEURAL_SPAM_SHORT_PCA
Do Not Expect Symbol NEURAL_HAM_SHORT
#Do Not Expect Symbol NEURAL_HAM_SHORT_PCA
Check Neural SPAM INVERSE
- Scan File ${MESSAGE} Settings={symbols_enabled = ["SPAM_SYMBOL2","SPAM_SYMBOL4","SPAM_SYMBOL6","SPAM_SYMBOL8"];groups_enabled=["neural"]}
+ Scan File ${MESSAGE} Settings={symbols_enabled = ["SPAM_SYMBOL1","SPAM_SYMBOL2","SPAM_SYMBOL3","SPAM_SYMBOL5"];groups_enabled=["neural"]}
Expect Symbol NEURAL_HAM_SHORT
#Expect Symbol NEURAL_HAM_SHORT_PCA
Do Not Expect Symbol NEURAL_SPAM_SHORT
- #Do Not Expect Symbol NEURAL_SPAM_SHORT_PCA
+ #Do Not Expect Symbol NEURAL_SPAM_SHORT_PCA
\ No newline at end of file
*** Test Cases ***
Collect training vectors & train manually
- Scan File ${MESSAGE} Settings={symbols_enabled = ["SPAM_SYMBOL","SAVE_NN_ROW"]}
- Expect Symbol SPAM_SYMBOL
- # Save neural inputs for later
- ${SPAM_ROW} = Get File ${SCAN_RESULT}[symbols][SAVE_NN_ROW][options][0]
- Remove File ${SCAN_RESULT}[symbols][SAVE_NN_ROW][options][0]
- Scan File ${MESSAGE} Settings={symbols_enabled = ["HAM_SYMBOL","SAVE_NN_ROW"]}
- Expect Symbol HAM_SYMBOL
- # Save neural inputs for later
- ${HAM_ROW} = Get File ${SCAN_RESULT}[symbols][SAVE_NN_ROW][options][0]
- Remove File ${SCAN_RESULT}[symbols][SAVE_NN_ROW][options][0]
- ${HAM_ROW} = Run ${RSPAMADM} lua -a ${HAM_ROW} ${RSPAMD_TESTDIR}/util/nn_unpack.lua
- ${HAM_ROW} = Evaluate json.loads("${HAM_ROW}")
- ${SPAM_ROW} = Run ${RSPAMADM} lua -a ${SPAM_ROW} ${RSPAMD_TESTDIR}/util/nn_unpack.lua
- ${SPAM_ROW} = Evaluate json.loads("${SPAM_ROW}")
- ${HAM_VEC} = Evaluate [${HAM_ROW}] * 10
- ${SPAM_VEC} = Evaluate [${SPAM_ROW}] * 10
+ @{HAM_VEC}= Create List
+ @{SPAM_VEC}= Create List
+
+ FOR ${INDEX} IN RANGE 4 14
+ Scan File ${MESSAGE} Settings={symbols_enabled = ["SPAM_SYMBOL1", "SPAM_SYMBOL2", "SPAM_SYMBOL3", "SPAM_SYMBOL${INDEX}", "SAVE_NN_ROW"]}
+ Expect Symbol SPAM_SYMBOL${INDEX}
+ # Save neural inputs for later
+ ${SPAM_ROW} = Get File ${SCAN_RESULT}[symbols][SAVE_NN_ROW][options][0]
+ Remove File ${SCAN_RESULT}[symbols][SAVE_NN_ROW][options][0]
+ Scan File ${MESSAGE} Settings={symbols_enabled = ["HAM_SYMBOL1", "HAM_SYMBOL2", "HAM_SYMBOL3", "HAM_SYMBOL${INDEX}", "SAVE_NN_ROW"]}
+ Expect Symbol HAM_SYMBOL${INDEX}
+ # Save neural inputs for later
+ ${HAM_ROW} = Get File ${SCAN_RESULT}[symbols][SAVE_NN_ROW][options][0]
+ Remove File ${SCAN_RESULT}[symbols][SAVE_NN_ROW][options][0]
+ ${HAM_ROW} = Run ${RSPAMADM} lua -a ${HAM_ROW} ${RSPAMD_TESTDIR}/util/nn_unpack.lua
+ ${HAM_ROW} = Evaluate json.loads("${HAM_ROW}")
+ ${SPAM_ROW} = Run ${RSPAMADM} lua -a ${SPAM_ROW} ${RSPAMD_TESTDIR}/util/nn_unpack.lua
+ ${SPAM_ROW} = Evaluate json.loads("${SPAM_ROW}")
+ Append To List ${HAM_VEC} ${HAM_ROW}
+ Append To List ${SPAM_VEC} ${SPAM_ROW}
+ END
+
${json1} = Evaluate json.dumps({"spam_vec": ${SPAM_VEC}, "ham_vec": ${HAM_VEC}, "rule": "SHORT"})
+ HTTP POST ${RSPAMD_LOCAL_ADDR} ${RSPAMD_PORT_CONTROLLER} /plugins/neural/learn ${json1}
+
# Save variables for use in inverse training
Set Suite Variable ${HAM_VEC}
Set Suite Variable ${SPAM_VEC}
- HTTP POST ${RSPAMD_LOCAL_ADDR} ${RSPAMD_PORT_CONTROLLER} /plugins/neural/learn ${json1}
- Sleep 2s Wait for neural to be loaded
+
+ Sleep 5s Wait for neural to be loaded
Check Neural HAM
- Scan File ${MESSAGE} Settings={symbols_enabled = ["HAM_SYMBOL"];groups_enabled=["neural"];symbols_disabled = ["NEURAL_LEARN"]}
+ Scan File ${MESSAGE} Settings={symbols_enabled = ["HAM_SYMBOL1","HAM_SYMBOL2","HAM_SYMBOL3","HAM_SYMBOL8"];groups_enabled=["neural"];symbols_disabled = ["NEURAL_LEARN"]}
Do Not Expect Symbol NEURAL_SPAM_SHORT
Expect Symbol NEURAL_HAM_SHORT
Check Neural SPAM
- Scan File ${MESSAGE} Settings={symbols_enabled = ["SPAM_SYMBOL"];groups_enabled=["neural"];symbols_disabled = ["NEURAL_LEARN"]}
+ Scan File ${MESSAGE} Settings={symbols_enabled = ["SPAM_SYMBOL1","SPAM_SYMBOL2","SPAM_SYMBOL3","SPAM_SYMBOL8"];groups_enabled=["neural"];symbols_disabled = ["NEURAL_LEARN"]}
Do Not Expect Symbol NEURAL_HAM_SHORT
Expect Symbol NEURAL_SPAM_SHORT
Train inverse
${json2} = Evaluate json.dumps({"spam_vec": ${HAM_VEC}, "ham_vec": ${SPAM_VEC}, "rule": "SHORT"})
HTTP POST ${RSPAMD_LOCAL_ADDR} ${RSPAMD_PORT_CONTROLLER} /plugins/neural/learn ${json2}
- Sleep 2s Wait for neural to be loaded
+ Sleep 5s Wait for neural to be loaded
Check Neural HAM - inverse
- Scan File ${MESSAGE} Settings={symbols_enabled = ["HAM_SYMBOL"];groups_enabled=["neural"];symbols_disabled = ["NEURAL_LEARN"]}
+ Scan File ${MESSAGE} Settings={symbols_enabled = ["HAM_SYMBOL1","HAM_SYMBOL2","HAM_SYMBOL3","HAM_SYMBOL8"];groups_enabled=["neural"];symbols_disabled = ["NEURAL_LEARN"]}
Do Not Expect Symbol NEURAL_HAM_SHORT
Expect Symbol NEURAL_SPAM_SHORT
Check Neural SPAM - inverse
- Scan File ${MESSAGE} Settings={symbols_enabled = ["SPAM_SYMBOL"];groups_enabled=["neural"];symbols_disabled = ["NEURAL_LEARN"]}
+ Scan File ${MESSAGE} Settings={symbols_enabled = ["SPAM_SYMBOL1","SPAM_SYMBOL2","SPAM_SYMBOL3","SPAM_SYMBOL8"];groups_enabled=["neural"];symbols_disabled = ["NEURAL_LEARN"]}
Do Not Expect Symbol NEURAL_SPAM_SHORT
- Expect Symbol NEURAL_HAM_SHORT
+ Expect Symbol NEURAL_HAM_SHORT
\ No newline at end of file