> 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/discretizer.md).

# alibi\_detect.utils.discretizer

## `Discretizer`

### Constructor

```python
Discretizer(self, data: numpy.ndarray, categorical_features: List[int], feature_names: List[str], percentiles: List[int] = [25, 50, 75]) -> None
```

| Name                   | Type            | Default        | Description                                                                                                                                                                   |
| ---------------------- | --------------- | -------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `data`                 | `numpy.ndarray` |                | Data to discretize                                                                                                                                                            |
| `categorical_features` | `List[int]`     |                | List of indices corresponding to the categorical columns. These features will not be discretized. The other features will be considered continuous and therefore discretized. |
| `feature_names`        | `List[str]`     |                | List with feature names                                                                                                                                                       |
| `percentiles`          | `List[int]`     | `[25, 50, 75]` | Percentiles used for discretization                                                                                                                                           |

### Methods

#### `bins`

```python
bins(data: numpy.ndarray) -> List[numpy.ndarray]
```

Parameters

***

data Data to discretize

| Name   | Type            | Default | Description        |
| ------ | --------------- | ------- | ------------------ |
| `data` | `numpy.ndarray` |         | Data to discretize |

**Returns**

* Type: `List[numpy.ndarray]`

#### `discretize`

```python
discretize(data: numpy.ndarray) -> numpy.ndarray
```

Parameters

***

data Data to discretize

| Name   | Type            | Default | Description        |
| ------ | --------------- | ------- | ------------------ |
| `data` | `numpy.ndarray` |         | Data to discretize |

**Returns**

* Type: `numpy.ndarray`