summaryrefslogtreecommitdiffstats
path: root/ml/Config.cc
diff options
context:
space:
mode:
authorDaniel Baumann <daniel.baumann@progress-linux.org>2023-05-18 14:38:09 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2023-05-18 14:38:09 +0000
commit9f80b256e67a8c2c4755e0b66ae0e83abd74796a (patch)
tree053624169800a5388af4e3d78911e335ee0d78d3 /ml/Config.cc
parentReleasing debian version 1.39.0-1. (diff)
downloadnetdata-9f80b256e67a8c2c4755e0b66ae0e83abd74796a.tar.xz
netdata-9f80b256e67a8c2c4755e0b66ae0e83abd74796a.zip
Merging upstream version 1.39.1.
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'ml/Config.cc')
-rw-r--r--ml/Config.cc13
1 files changed, 11 insertions, 2 deletions
diff --git a/ml/Config.cc b/ml/Config.cc
index d451c602c..c5129c49d 100644
--- a/ml/Config.cc
+++ b/ml/Config.cc
@@ -28,7 +28,7 @@ void ml_config_load(ml_config_t *cfg) {
unsigned max_train_samples = config_get_number(config_section_ml, "maximum num samples to train", 4 * 3600);
unsigned min_train_samples = config_get_number(config_section_ml, "minimum num samples to train", 1 * 900);
unsigned train_every = config_get_number(config_section_ml, "train every", 1 * 3600);
- unsigned num_models_to_use = config_get_number(config_section_ml, "number of models per dimension", 1);
+ unsigned num_models_to_use = config_get_number(config_section_ml, "number of models per dimension", 2);
unsigned diff_n = config_get_number(config_section_ml, "num samples to diff", 1);
unsigned smooth_n = config_get_number(config_section_ml, "num samples to smooth", 3);
@@ -46,6 +46,9 @@ void ml_config_load(ml_config_t *cfg) {
size_t num_training_threads = config_get_number(config_section_ml, "num training threads", 4);
size_t flush_models_batch_size = config_get_number(config_section_ml, "flush models batch size", 128);
+ size_t suppression_window = config_get_number(config_section_ml, "dimension anomaly rate suppression window", 900);
+ size_t suppression_threshold = config_get_number(config_section_ml, "dimension anomaly rate suppression threshold", suppression_window / 2);
+
bool enable_statistics_charts = config_get_boolean(config_section_ml, "enable statistics charts", true);
/*
@@ -72,7 +75,10 @@ void ml_config_load(ml_config_t *cfg) {
num_training_threads = clamp<size_t>(num_training_threads, 1, 128);
flush_models_batch_size = clamp<size_t>(flush_models_batch_size, 8, 512);
- /*
+ suppression_window = clamp<size_t>(suppression_window, 1, max_train_samples);
+ suppression_threshold = clamp<size_t>(suppression_threshold, 1, suppression_window);
+
+ /*
* Validate
*/
@@ -121,5 +127,8 @@ void ml_config_load(ml_config_t *cfg) {
cfg->num_training_threads = num_training_threads;
cfg->flush_models_batch_size = flush_models_batch_size;
+ cfg->suppression_window = suppression_window;
+ cfg->suppression_threshold = suppression_threshold;
+
cfg->enable_statistics_charts = enable_statistics_charts;
}