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-rw-r--r--collectors/python.d.plugin/anomalies/README.md9
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 7c59275f..80f50537 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-learn_status: "Unpublished"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.