15 lines
1.3 KiB
Markdown
15 lines
1.3 KiB
Markdown
# `MlAnomalyExplanation` [interface-MlAnomalyExplanation]
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| Name | Type | Description |
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| - | - | - |
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| `anomaly_characteristics_impact` | [integer](./integer.md) | Impact from the duration and magnitude of the detected anomaly relative to the historical average. |
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| `anomaly_length` | [integer](./integer.md) | Length of the detected anomaly in the number of buckets. |
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| `anomaly_type` | string | Type of the detected anomaly: `spike` or `dip`. |
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| `high_variance_penalty` | boolean | Indicates reduction of anomaly score for the bucket with large confidence intervals. If a bucket has large confidence intervals, the score is reduced. |
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| `incomplete_bucket_penalty` | boolean | If the bucket contains fewer samples than expected, the score is reduced. |
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| `lower_confidence_bound` | [double](./double.md) | Lower bound of the 95% confidence interval. |
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| `multi_bucket_impact` | [integer](./integer.md) | Impact of the deviation between actual and typical values in the past 12 buckets. |
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| `single_bucket_impact` | [integer](./integer.md) | Impact of the deviation between actual and typical values in the current bucket. |
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| `typical_value` | [double](./double.md) | Typical (expected) value for this bucket. |
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| `upper_confidence_bound` | [double](./double.md) | Upper bound of the 95% confidence interval. |
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