diff options
Diffstat (limited to 'ml/ml-private.h')
| -rw-r--r-- | ml/ml-private.h | 14 |
1 files changed, 14 insertions, 0 deletions
diff --git a/ml/ml-private.h b/ml/ml-private.h index f0e2e7eaf..f373456fa 100644 --- a/ml/ml-private.h +++ b/ml/ml-private.h @@ -8,6 +8,7 @@ #include <vector> #include <queue> +#include <unordered_map> typedef double calculated_number_t; typedef dlib::matrix<calculated_number_t, 6, 1> DSample; @@ -211,6 +212,12 @@ typedef struct { void ml_chart_update_dimension(ml_chart_t *chart, ml_dimension_t *dim, bool is_anomalous); typedef struct { + RRDDIM *rd; + size_t normal_dimensions; + size_t anomalous_dimensions; +} ml_type_anomaly_rate_t; + +typedef struct { RRDHOST *rh; std::atomic<bool> ml_running; @@ -255,6 +262,9 @@ typedef struct { RRDSET *detector_events_rs; RRDDIM *detector_events_above_threshold_rd; RRDDIM *detector_events_new_anomaly_event_rd; + + RRDSET *type_anomaly_rate_rs; + std::unordered_map<STRING *, ml_type_anomaly_rate_t> type_anomaly_rate; } ml_host_t; typedef struct { @@ -291,6 +301,9 @@ typedef struct { RRDDIM *training_results_not_enough_collected_values_rd; RRDDIM *training_results_null_acquired_dimension_rd; RRDDIM *training_results_chart_under_replication_rd; + + size_t num_db_transactions; + size_t num_models_to_prune; } ml_training_thread_t; typedef struct { @@ -301,6 +314,7 @@ typedef struct { unsigned train_every; unsigned num_models_to_use; + unsigned delete_models_older_than; unsigned db_engine_anomaly_rate_every; |