Adding upstream version 1.36.0.upstream/1.36.0

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 3 insertions, 3 deletions

diff --git a/ml/Config.cc b/ml/Config.cc
index 37d0bb29e..65b05a34d 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);