summaryrefslogtreecommitdiffstats
path: root/src/collectors/python.d.plugin/zscores/integrations/python.d_zscores.md
diff options
context:
space:
mode:
Diffstat (limited to '')
-rw-r--r--src/collectors/python.d.plugin/zscores/integrations/python.d_zscores.md (renamed from collectors/python.d.plugin/zscores/integrations/python.d_zscores.md)10
1 files changed, 5 insertions, 5 deletions
diff --git a/collectors/python.d.plugin/zscores/integrations/python.d_zscores.md b/src/collectors/python.d.plugin/zscores/integrations/python.d_zscores.md
index 9d7d1c3d5..738c359db 100644
--- a/collectors/python.d.plugin/zscores/integrations/python.d_zscores.md
+++ b/src/collectors/python.d.plugin/zscores/integrations/python.d_zscores.md
@@ -1,9 +1,9 @@
<!--startmeta
-custom_edit_url: "https://github.com/netdata/netdata/edit/master/collectors/python.d.plugin/zscores/README.md"
-meta_yaml: "https://github.com/netdata/netdata/edit/master/collectors/python.d.plugin/zscores/metadata.yaml"
+custom_edit_url: "https://github.com/netdata/netdata/edit/master/src/collectors/python.d.plugin/zscores/README.md"
+meta_yaml: "https://github.com/netdata/netdata/edit/master/src/collectors/python.d.plugin/zscores/metadata.yaml"
sidebar_label: "python.d zscores"
learn_status: "Published"
-learn_rel_path: "Data Collection/Other"
+learn_rel_path: "Collecting Metrics/Other"
most_popular: False
message: "DO NOT EDIT THIS FILE DIRECTLY, IT IS GENERATED BY THE COLLECTOR'S metadata.yaml FILE"
endmeta-->
@@ -20,7 +20,7 @@ Module: zscores
By using smoothed, rolling [Z-Scores](https://en.wikipedia.org/wiki/Standard_score) for selected metrics or charts you can narrow down your focus and shorten root cause analysis.
-This collector uses the [Netdata rest api](https://github.com/netdata/netdata/blob/master/web/api/README.md) to get the `mean` and `stddev`
+This collector uses the [Netdata rest api](https://github.com/netdata/netdata/blob/master/src/web/api/README.md) to get the `mean` and `stddev`
for each dimension on specified charts over a time range (defined by `train_secs` and `offset_secs`).
For each dimension it will calculate a Z-Score as `z = (x - mean) / stddev` (clipped at `z_clip`). Scores are then smoothed over
@@ -100,7 +100,7 @@ The configuration file name for this integration is `python.d/zscores.conf`.
You can edit the configuration file using the `edit-config` script from the
-Netdata [config directory](https://github.com/netdata/netdata/blob/master/docs/configure/nodes.md#the-netdata-config-directory).
+Netdata [config directory](https://github.com/netdata/netdata/blob/master/docs/netdata-agent/configuration.md#the-netdata-config-directory).
```bash
cd /etc/netdata 2>/dev/null || cd /opt/netdata/etc/netdata