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Diffstat (limited to '')
| -rw-r--r-- | ml/ml-private.h | 11 |
1 files changed, 11 insertions, 0 deletions
diff --git a/ml/ml-private.h b/ml/ml-private.h index 327cc59a..2ed70d1c 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; |