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-rw-r--r--ml/ml-private.h11
1 files changed, 11 insertions, 0 deletions
diff --git a/ml/ml-private.h b/ml/ml-private.h
index 327cc59a2..2ed70d1ca 100644
--- a/ml/ml-private.h
+++ b/ml/ml-private.h
@@ -55,6 +55,7 @@ typedef struct machine_learning_stats_t {
size_t num_training_status_pending_without_model;
size_t num_training_status_trained;
size_t num_training_status_pending_with_model;
+ size_t num_training_status_silenced;
size_t num_anomalous_dimensions;
size_t num_normal_dimensions;
@@ -103,6 +104,9 @@ enum ml_training_status {
// Have a valid, up-to-date model
TRAINING_STATUS_TRAINED,
+
+ // Have a valid, up-to-date model that is silenced because its too noisy
+ TRAINING_STATUS_SILENCED,
};
enum ml_training_result {
@@ -194,6 +198,9 @@ typedef struct {
netdata_mutex_t mutex;
ml_kmeans_t kmeans;
std::vector<DSample> feature;
+
+ uint32_t suppression_window_counter;
+ uint32_t suppression_anomaly_counter;
} ml_dimension_t;
typedef struct {
@@ -233,6 +240,7 @@ typedef struct {
RRDDIM *training_status_pending_without_model_rd;
RRDDIM *training_status_trained_rd;
RRDDIM *training_status_pending_with_model_rd;
+ RRDDIM *training_status_silenced_rd;
RRDSET *dimensions_rs;
RRDDIM *dimensions_anomalous_rd;
@@ -325,6 +333,9 @@ typedef struct {
std::vector<ml_training_thread_t> training_threads;
std::atomic<bool> training_stop;
+ size_t suppression_window;
+ size_t suppression_threshold;
+
bool enable_statistics_charts;
} ml_config_t;