diff options
| author | vkalintiris <vasilis@netdata.cloud> | 2023-01-04 14:51:25 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-01-04 14:51:25 +0200 |
| commit | 78359cd375d0b2c285741e6f934a681d0a0c3c15 (patch) | |
| tree | 2d5264325510b663d9e87ca62a38fad187e3a713 /ml/ml.h | |
| parent | df379e45fbaddf825f1f7972a75ae3f3daf80097 (diff) | |
Refactor ML code and add support for multiple KMeans models (#14198)
* Add profile.plugin
Creates the specified number of charts/dimensions, and supports
backfilling with pseudo-historical data.
* Bump
* Remove wrongly merged line.
* Use the number of models specified from the config section.
* Add option to consult all ML models.
* Remove profiling option consuming all models.
* Add underscore after chart name prefix.
* prediction -> dimensions chart
* reorder funcs
* Split charts across types with correct priority
* Ignore training request when chart is under replication.
* Track global number of models consulted.
* Cleanup config.
* initial readme updates
* fix readme
* readme
* Fix function definition when ML is disabled.
* Add dummy ml_chart_update_{begin,end}
* Remove profile_plugin
* Define chart priorities under collectors/all.h
* s/curr_t/current_time/
* Use libnetdata's lock/thread wrappers.
* Fix autotools & cmake builds.
* Delete ML dimensions & charts.
* Let users of buffer preprocessing to handle memory.
* Add separate API calls to start/stop ML threads.
Co-authored-by: Andrew Maguire <andrewm4894@gmail.com>
Diffstat (limited to 'ml/ml.h')
| -rw-r--r-- | ml/ml.h | 28 |
1 files changed, 14 insertions, 14 deletions
@@ -14,35 +14,35 @@ extern "C" { // the anomaly rate dimension, whenever its backing dimension is freed. void rrddim_free(RRDSET *st, RRDDIM *rd); -typedef void* ml_host_t; -typedef void* ml_dimension_t; - bool ml_capable(); bool ml_enabled(RRDHOST *RH); void ml_init(void); -void ml_new_host(RRDHOST *RH); -void ml_delete_host(RRDHOST *RH); +void ml_host_new(RRDHOST *RH); +void ml_host_delete(RRDHOST *RH); + +void ml_chart_new(RRDSET *RS); +void ml_chart_delete(RRDSET *RS); + +void ml_dimension_new(RRDDIM *RD); +void ml_dimension_delete(RRDDIM *RD); + +void ml_start_anomaly_detection_threads(RRDHOST *RH); +void ml_stop_anomaly_detection_threads(RRDHOST *RH); char *ml_get_host_info(RRDHOST *RH); char *ml_get_host_runtime_info(RRDHOST *RH); char *ml_get_host_models(RRDHOST *RH); -void ml_new_dimension(RRDDIM *RD); -void ml_delete_dimension(RRDDIM *RD); +void ml_chart_update_begin(RRDSET *RS); +void ml_chart_update_end(RRDSET *RS); -bool ml_is_anomalous(RRDDIM *RD, double value, bool exists); +bool ml_is_anomalous(RRDDIM *RD, time_t curr_t, double value, bool exists); bool ml_streaming_enabled(); -#define ML_ANOMALY_RATES_CHART_ID "anomaly_detection.anomaly_rates" - -#if defined(ENABLE_ML_TESTS) -int test_ml(int argc, char *argv[]); -#endif - #ifdef __cplusplus }; #endif |