diff options
Diffstat (limited to '')
| -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 eedd8c29f..ba3a61445 100644 --- a/ml/Config.cc +++ b/ml/Config.cc @@ -31,7 +31,7 @@ void Config::readMLConfig(void) { 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 * 900); unsigned TrainEvery = config_get_number(ConfigSectionML, "train every", 1 * 3600); - unsigned NumModelsToUse = config_get_number(ConfigSectionML, "number of models per dimension", 1 * 24); + unsigned NumModelsToUse = config_get_number(ConfigSectionML, "number of models per dimension", 1); unsigned DiffN = config_get_number(ConfigSectionML, "num samples to diff", 1); unsigned SmoothN = config_get_number(ConfigSectionML, "num samples to smooth", 3); @@ -53,7 +53,7 @@ void Config::readMLConfig(void) { MaxTrainSamples = clamp<unsigned>(MaxTrainSamples, 1 * 3600, 24 * 3600); MinTrainSamples = clamp<unsigned>(MinTrainSamples, 1 * 900, 6 * 3600); TrainEvery = clamp<unsigned>(TrainEvery, 1 * 3600, 6 * 3600); - NumModelsToUse = clamp<unsigned>(TrainEvery, 1, 7 * 24); + NumModelsToUse = clamp<unsigned>(NumModelsToUse, 1, 7 * 24); DiffN = clamp(DiffN, 0u, 1u); SmoothN = clamp(SmoothN, 0u, 5u); @@ -108,7 +108,7 @@ void Config::readMLConfig(void) { // Always exclude anomaly_detection charts from training. Cfg.ChartsToSkip = "anomaly_detection.* "; Cfg.ChartsToSkip += config_get(ConfigSectionML, "charts to skip from training", "netdata.*"); - Cfg.SP_ChartsToSkip = simple_pattern_create(ChartsToSkip.c_str(), NULL, SIMPLE_PATTERN_EXACT); + Cfg.SP_ChartsToSkip = simple_pattern_create(Cfg.ChartsToSkip.c_str(), NULL, SIMPLE_PATTERN_EXACT); Cfg.StreamADCharts = config_get_boolean(ConfigSectionML, "stream anomaly detection charts", true); } |