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Diffstat (limited to 'collectors/python.d.plugin/zscores/README.md')
| -rw-r--r-- | collectors/python.d.plugin/zscores/README.md | 4 |
1 files changed, 1 insertions, 3 deletions
diff --git a/collectors/python.d.plugin/zscores/README.md b/collectors/python.d.plugin/zscores/README.md index 7fb189f6..4f84a6c1 100644 --- a/collectors/python.d.plugin/zscores/README.md +++ b/collectors/python.d.plugin/zscores/README.md @@ -1,9 +1,7 @@ <!-- ---- title: "zscores" description: "Use statistical anomaly detection to narrow your focus and shorten root cause analysis." custom_edit_url: https://github.com/netdata/netdata/edit/master/collectors/python.d.plugin/zscores/README.md ---- --> # Z-Scores - basic anomaly detection for your key metrics and charts @@ -143,4 +141,4 @@ per_chart_agg: 'mean' # 'absmax' will take the max absolute value across all dim - About ~50mb of ram (`apps.mem`) being continually used by the `python.d.plugin`. - If you activate this collector on a fresh node, it might take a little while to build up enough data to calculate a proper zscore. So until you actually have `train_secs` of available data the mean and stddev calculated will be subject - to more noise.
\ No newline at end of file + to more noise. |