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/ADCharts.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/ADCharts.h')
| -rw-r--r-- | ml/ADCharts.h | 10 |
1 files changed, 4 insertions, 6 deletions
diff --git a/ml/ADCharts.h b/ml/ADCharts.h index 0be324f7d7..ee09669e22 100644 --- a/ml/ADCharts.h +++ b/ml/ADCharts.h @@ -3,20 +3,18 @@ #ifndef ML_ADCHARTS_H #define ML_ADCHARTS_H +#include "Stats.h" #include "ml-private.h" namespace ml { -void updateDimensionsChart(RRDHOST *RH, - collected_number NumTrainedDimensions, - collected_number NumNormalDimensions, - collected_number NumAnomalousDimensions); +void updateDimensionsChart(RRDHOST *RH, const MachineLearningStats &MLS); void updateHostAndDetectionRateCharts(RRDHOST *RH, collected_number AnomalyRate); -void updateDetectionChart(RRDHOST *RH); +void updateResourceUsageCharts(RRDHOST *RH, const struct rusage &PredictionRU, const struct rusage &TrainingRU); -void updateTrainingChart(RRDHOST *RH, struct rusage *TRU); +void updateTrainingStatisticsChart(RRDHOST *RH, const TrainingStats &TS); } // namespace ml |