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Merged
ktsaou merged 1 commit into from
Oct 22, 2026
Merged

Ingest New Documentation #3158

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4 changes: 4 additions & 0 deletions docs/Netdata AI/Anomaly Detection/ML Configuration.mdx
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Expand Up @@ -104,6 +104,10 @@ When your system detects a potential anomaly:
2. **Each model independently determines if the data point is anomalous** based on its training period
3. Only if **ALL** models agree that the data point is anomalous will Netdata set the anomaly bit to 1 (anomalous)

A model trained on data with no usable spread (for example, a metric that sat on the same few values for its whole
training window) cannot score a data point. It abstains, and the remaining models decide. If every model abstains, the
data point is normal.

```mermaid
flowchart TD
NewData("New Metric<br/>Data Point")
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4 changes: 2 additions & 2 deletions ingest/generated_sidebar_order.json
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Expand Up @@ -2,7 +2,7 @@
"schema_version": 1,
"source": "netdata/docs/.map/map.yaml",
"source_sha256": "5c613e8fa52bfee42b4c57d2ad18bf26ad3c1865ca5a5654eca0c66042d0c280",
"source_corpus_sha256": "38774b2b0081126f788a3d846630acffa2703702d9b8b80d05bebc0dcbaa7fa1",
"source_corpus_sha256": "de7a5675d246ea0d3da864bc525006c09463672a1d9943328c850602ed3d9dc6",
"order": [
{
"parent_path": "Alerts & Notifications",
Expand Down Expand Up @@ -1810,5 +1810,5 @@
"position": 190
}
],
"full_ingest_identity_sha256": "fa6734a79500bdaa0022359ca25eb2201654b1ba3bc7eed093cca8be9c0aa2b3"
"full_ingest_identity_sha256": "4bbffdbaa1142572c6ad53d687e955c07c5fa9af12c57b86fdfa4f3df142dfc8"
}
2 changes: 1 addition & 1 deletion ingest/generated_sidebar_order.json.sha256
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@@ -1 +1 @@
3c0a1b152286a7f0472a4dea91243ea736b0a5049319a2fd34d0be0159dee114 generated_sidebar_order.json
1b413ac0b98666f66ea65ae63a16b4b7ca0ca59bf7172e2cb53160757fb2e307 generated_sidebar_order.json
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