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Diffstat (limited to 'docs/cloud/insights/metric-correlations.md')
| -rw-r--r-- | docs/cloud/insights/metric-correlations.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/docs/cloud/insights/metric-correlations.md b/docs/cloud/insights/metric-correlations.md index c8ead9be3..7dc50c59c 100644 --- a/docs/cloud/insights/metric-correlations.md +++ b/docs/cloud/insights/metric-correlations.md @@ -53,9 +53,9 @@ Behind the scenes, Netdata will aggregate the raw data as needed such that arbit ### Data -Netdata is different from typical observability agents since, in addition to just collecting raw metric values, it will by default also assign an "[Anomaly Bit](https://github.com/netdata/netdata/tree/master/ml#anomaly-bit---100--anomalous-0--normal)" related to each collected metric each second. This bit will be 0 for "normal" and 1 for "anomalous". This means that each metric also natively has an "[Anomaly Rate](https://github.com/netdata/netdata/tree/master/ml#anomaly-rate---averageanomaly-bit)" associated with it and, as such, MC can be run against the raw metric values or their corresponding anomaly rates. +Netdata is different from typical observability agents since, in addition to just collecting raw metric values, it will by default also assign an "[Anomaly Bit](https://github.com/netdata/netdata/tree/master/src/ml#anomaly-bit---100--anomalous-0--normal)" related to each collected metric each second. This bit will be 0 for "normal" and 1 for "anomalous". This means that each metric also natively has an "[Anomaly Rate](https://github.com/netdata/netdata/tree/master/src/ml#anomaly-rate---averageanomaly-bit)" associated with it and, as such, MC can be run against the raw metric values or their corresponding anomaly rates. -**Note**: Read more [here](https://github.com/netdata/netdata/blob/master/ml/README.md) to learn more about the native anomaly detection features within netdata. +**Note**: Read more [here](https://github.com/netdata/netdata/blob/master/src/ml/README.md) to learn more about the native anomaly detection features within netdata. - `Metrics` - Run MC on the raw metric values. - `Anomaly Rate` - Run MC on the corresponding anomaly rate for each metric. |