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| author | Andrew Maguire <andrewm4894@gmail.com> | 2022-08-15 18:14:39 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2022-08-15 20:14:39 +0300 |
| commit | 5655fe00b6ba956b52fc77ecaeb94a3d74093e92 (patch) | |
| tree | 818d53b0739b2ead51116411b83b62556763e766 /ml | |
| parent | 79f159603d886162777b73bc37e8b1af100f786f (diff) | |
remove reference to charts now in netdata monitoring (#13521)
Diffstat (limited to 'ml')
| -rw-r--r-- | ml/README.md | 2 |
1 files changed, 0 insertions, 2 deletions
diff --git a/ml/README.md b/ml/README.md index 2578993e2e..f6fd923ab5 100644 --- a/ml/README.md +++ b/ml/README.md @@ -248,8 +248,6 @@ In terms of anomaly detection, the most interesting charts would be the `anomaly - `anomaly_detection.dimensions`: Percentage of anomalous dimensions. - `anomaly_detection.detector_window`: The length of the active window used by the detector. - `anomaly_detection.detector_events`: Flags (0 or 1) to show when an anomaly event has been triggered by the detector. -- `anomaly_detection.prediction_stats`: Diagnostic metrics relating to prediction time of anomaly detection. -- `anomaly_detection.training_stats`: Diagnostic metrics relating to training time of anomaly detection. Below is an example of how these charts may look in the presence of an anomaly event. |