diff options
Diffstat (limited to 'ml/Config.cc')
| -rw-r--r-- | ml/Config.cc | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/ml/Config.cc b/ml/Config.cc index 37d0bb29..65b05a34 100644 --- a/ml/Config.cc +++ b/ml/Config.cc @@ -22,14 +22,14 @@ static T clamp(const T& Value, const T& Min, const T& Max) { void Config::readMLConfig(void) { const char *ConfigSectionML = CONFIG_SECTION_ML; - bool EnableAnomalyDetection = config_get_boolean(ConfigSectionML, "enabled", false); + bool EnableAnomalyDetection = config_get_boolean(ConfigSectionML, "enabled", true); /* * Read values */ unsigned MaxTrainSamples = config_get_number(ConfigSectionML, "maximum num samples to train", 4 * 3600); - unsigned MinTrainSamples = config_get_number(ConfigSectionML, "minimum num samples to train", 1 * 3600); + unsigned MinTrainSamples = config_get_number(ConfigSectionML, "minimum num samples to train", 1 * 900); unsigned TrainEvery = config_get_number(ConfigSectionML, "train every", 1 * 3600); unsigned DBEngineAnomalyRateEvery = config_get_number(ConfigSectionML, "dbengine anomaly rate every", 30); @@ -42,7 +42,7 @@ void Config::readMLConfig(void) { unsigned MaxKMeansIters = config_get_number(ConfigSectionML, "maximum number of k-means iterations", 1000); double DimensionAnomalyScoreThreshold = config_get_float(ConfigSectionML, "dimension anomaly score threshold", 0.99); - double HostAnomalyRateThreshold = config_get_float(ConfigSectionML, "host anomaly rate threshold", 0.02); + double HostAnomalyRateThreshold = config_get_float(ConfigSectionML, "host anomaly rate threshold", 0.01); double ADMinWindowSize = config_get_float(ConfigSectionML, "minimum window size", 30); double ADMaxWindowSize = config_get_float(ConfigSectionML, "maximum window size", 600); |