# StreamAD Detector


## Univariate Anomaly Detector

If you want to detect multivarite time series with these models, you need to apply them on each feature separately.
### KNNDetector

```{eval-rst}
.. autoclass:: streamad.model.KNNDetector
    :show-inheritance:
    :members: parse
```

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### SpotDetector

```{eval-rst}
.. autoclass:: streamad.model.SpotDetector
    :show-inheritance:
    :members: parse
```


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### RrcfDetector

```{eval-rst}
.. autoclass:: streamad.model.RrcfDetector
    :show-inheritance:
    :members: parse
```

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### SRDetector

```{eval-rst}
.. autoclass:: streamad.model.SRDetector
    :show-inheritance:
    :members: parse
```

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### ZScoreDetector

```{eval-rst}
.. autoclass:: streamad.model.ZScoreDetector
    :show-inheritance:
    :members: parse
```

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## Multivariate Anomaly Detector

These models are compatible with univariate time series.

### xStreamDetector

```{eval-rst}
.. autoclass:: streamad.model.xStreamDetector
    :show-inheritance:
    :members: parse
```

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### RShashDetector

```{eval-rst}
.. autoclass:: streamad.model.RShashDetector
    :show-inheritance:
    :members: parse
```

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### HSTreeDetector

```{eval-rst}
.. autoclass:: streamad.model.HSTreeDetector
    :show-inheritance:
    :members: parse
```

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### LodaDetector

```{eval-rst}
.. autoclass:: streamad.model.LodaDetector
    :show-inheritance:
    :members: parse
```

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### RandomDetector

```{eval-rst}
.. autoclass:: streamad.model.RandomDetector
    :show-inheritance:
    :members: parse
```