Port ML from C++ to C. (#14567)

* Port ML from C++ to C.

Pretty much everything is a non-functional change, ie.
the functionality is identical to the one provided
by the existing implementation that is written in C++.

Performance-wise, this implementation:

- Eliminates/reduces the number of allocations and
deallocations we have to do for training/detection,
- Uses just a single thread to perform detection for
*all* the hosts (ie. reduces the number of required
threads by 50% on parents), and
- Allows training, prediction and detection of
dimensions that have an update_every that is
different from that of the localhost.

The only C++ functionality that we still use
is vectors, because they make our life easier
and they are pretty much a requirement imposed
by dlib.

* Remove profile.plugin

It was useful only for testing during development.

* Limit logs to 200 lines per period

* Properly generate ml_info in /api/v1/info endpoint.

* Remove resource usage charts since we use worker charts.

* Use a temporary to make linters happy.

* Rebase.

* Fix builds that have ML functionality disabled.

1 files changed, 0 insertions, 21 deletions

diff --git a/ml/ADCharts.h b/ml/ADCharts.h
deleted file mode 100644
index ee09669e22..0000000000
--- a/ml/ADCharts.h
+++ /dev/null
@@ -1,21 +0,0 @@
-// SPDX-License-Identifier: GPL-3.0-or-later
-
-#ifndef ML_ADCHARTS_H
-#define ML_ADCHARTS_H
-
-#include "Stats.h"
-#include "ml-private.h"
-
-namespace ml {
-
-void updateDimensionsChart(RRDHOST *RH, const MachineLearningStats &MLS);
-
-void updateHostAndDetectionRateCharts(RRDHOST *RH, collected_number AnomalyRate);
-
-void updateResourceUsageCharts(RRDHOST *RH, const struct rusage &PredictionRU, const struct rusage &TrainingRU);
-
-void updateTrainingStatisticsChart(RRDHOST *RH, const TrainingStats &TS);
-
-} // namespace ml
-
-#endif /* ML_ADCHARTS_H */