> For the complete documentation index, see [llms.txt](https://docs.seldon.ai/alibi-detect/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.seldon.ai/alibi-detect/api-reference/utils/misc.md).

# alibi\_detect.utils.misc

## Functions

### `quantile`

```python
quantile(sample: numpy.ndarray, p: float, type: int = 7, sorted: bool = False, interpolate: bool = True) -> float
```

Estimate a desired quantile of a univariate distribution from a vector of samples

| Name          | Type            | Default | Description                                                                                                                 |
| ------------- | --------------- | ------- | --------------------------------------------------------------------------------------------------------------------------- |
| `sample`      | `numpy.ndarray` |         | A 1D vector of values                                                                                                       |
| `p`           | `float`         |         | The desired quantile in (0,1)                                                                                               |
| `type`        | `int`           | `7`     | The method for computing the quantile. See <https://wikipedia.org/wiki/Quantile#Estimating\\_quantiles\\_from\\_a\\_sample> |
| `sorted`      | `bool`          | `False` | Whether or not the vector is already sorted into ascending order                                                            |
| `interpolate` | `bool`          | `True`  | Whether to interpolate the desired quantile.                                                                                |

**Returns**

* Type: `float`