> For the complete documentation index, see [llms.txt](https://docs.seldon.ai/alibi-explain/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-explain/api-reference/utils/wrappers.md).

# alibi.utils.wrappers

## `ArgmaxTransformer`

A transformer for converting classification output probability tensors to class labels. It assumes the predictor is a callable that can be called with a `N`-tensor of data points `x` and produces an `N`-tensor of outputs.

### Constructor

```python
ArgmaxTransformer(self, predictor)
```

| Name        | Type | Default | Description |
| ----------- | ---- | ------- | ----------- |
| `predictor` |      |         |             |

## `Predictor`

### Constructor

```python
Predictor(self, clf, preprocessor=None)
```

| Name           | Type | Default | Description |
| -------------- | ---- | ------- | ----------- |
| `clf`          |      |         |             |
| `preprocessor` |      | `None`  |             |

## Functions

### `methdispatch`

```python
methdispatch(func)
```

A decorator that is used to support singledispatch style functionality for instance methods. By default, singledispatch selects a function to call from registered based on the type of args\[0]::

```
def wrapper(*args, **kw):
    return dispatch(args[0].__class__)(*args, **kw)
```

This uses singledispatch to do achieve this but instead uses `args[1]` since `args[0]` will always be self.

| Name   | Type | Default | Description |
| ------ | ---- | ------- | ----------- |
| `func` |      |         |             |


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