# {py:mod}`causalis.scenarios.uplift.model`

```{py:module} causalis.scenarios.uplift.model
```

```{autodoc2-docstring} causalis.scenarios.uplift.model
:allowtitles:
```

## Module Contents

### Functions

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`predict_cate <causalis.scenarios.uplift.model.predict_cate>`
  - ```{autodoc2-docstring} causalis.scenarios.uplift.model.predict_cate
    :summary:
    ```
````

### Data

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`__all__ <causalis.scenarios.uplift.model.__all__>`
  - ```{autodoc2-docstring} causalis.scenarios.uplift.model.__all__
    :summary:
    ```
````

### API

````{py:function} predict_cate(irm_model: typing.Any, X: pandas.DataFrame | numpy.ndarray) -> numpy.ndarray
:canonical: causalis.scenarios.uplift.model.predict_cate

```{autodoc2-docstring} causalis.scenarios.uplift.model.predict_cate
```
````

````{py:data} __all__
:canonical: causalis.scenarios.uplift.model.__all__
:value: >
   ['predict_cate']

```{autodoc2-docstring} causalis.scenarios.uplift.model.__all__
```

````
