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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2023-05-08 16:27:08 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2023-05-08 16:27:08 +0000 |
commit | 81581f9719bc56f01d5aa08952671d65fda9867a (patch) | |
tree | 0f5c6b6138bf169c23c9d24b1fc0a3521385cb18 /collectors/python.d.plugin/anomalies/README.md | |
parent | Releasing debian version 1.38.1-1. (diff) | |
download | netdata-81581f9719bc56f01d5aa08952671d65fda9867a.tar.xz netdata-81581f9719bc56f01d5aa08952671d65fda9867a.zip |
Merging upstream version 1.39.0.
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'collectors/python.d.plugin/anomalies/README.md')
-rw-r--r-- | collectors/python.d.plugin/anomalies/README.md | 9 |
1 files changed, 4 insertions, 5 deletions
diff --git a/collectors/python.d.plugin/anomalies/README.md b/collectors/python.d.plugin/anomalies/README.md index 7c59275f9..80f505375 100644 --- a/collectors/python.d.plugin/anomalies/README.md +++ b/collectors/python.d.plugin/anomalies/README.md @@ -4,14 +4,13 @@ description: "Use ML-driven anomaly detection to narrow your focus to only affec custom_edit_url: "https://github.com/netdata/netdata/edit/master/collectors/python.d.plugin/anomalies/README.md" sidebar_url: "Anomalies" sidebar_label: "anomalies" -learn_status: "Unpublished" -learn_topic_type: "References" -learn_rel_path: "References/Collectors references/Misc" +learn_status: "Published" +learn_rel_path: "Integrations/Monitor/Anything" --> # Anomaly detection with Netdata -**Note**: Check out the [Netdata Anomaly Advisor](https://github.com/netdata/netdata/blob/master/docs/cloud/insights/anomaly-advisor.mdx) for a more native anomaly detection experience within Netdata. +**Note**: Check out the [Netdata Anomaly Advisor](https://github.com/netdata/netdata/blob/master/docs/cloud/insights/anomaly-advisor.md) for a more native anomaly detection experience within Netdata. This collector uses the Python [PyOD](https://pyod.readthedocs.io/en/latest/index.html) library to perform unsupervised [anomaly detection](https://en.wikipedia.org/wiki/Anomaly_detection) on your Netdata charts and/or dimensions. @@ -84,7 +83,7 @@ sudo ./edit-config python.d/anomalies.conf The default configuration should look something like this. Here you can see each parameter (with sane defaults) and some information about each one and what it does. ```conf -# ---------------------------------------------------------------------- +# - # JOBS (data collection sources) # Pull data from local Netdata node. |