# Model Wrappers

The model wrapper modules convert trained machine learning models from popular Python libraries into callables compatible with URANIE's Relauncher module. This enables you to use your trained models within URANIE workflows.

```{rubric} PyTorch Models
```

Wrap PyTorch model for URANIE using `pytorch_wrapper.uranie_evaluator()`.

**See:** [PyTorch Wrapper](api/pytorch2uranie.md) for detailed documentation and examples.

```{rubric} Scikit-learn Models
```

Wrap scikit-learn estimators for URANIE using `sklearn_wrapper.uranie_evaluator()`.

**See:** [Scikit-learn Wrapper](api/sklearn2uranie.md) for detailed documentation and examples.

```{rubric} TensorFlow Models
```

Wrap TensorFlow/Keras models for URANIE using `tensorflow_wrapper.uranie_evaluator()`.

**See:** [TensorFlow Wrapper](api/tensorflow2uranie.md) for detailed documentation and examples.

```{raw} latex
\clearpage
```

```{only} html
This section includes the following pages:
```

```{toctree}
api/pytorch2uranie
api/sklearn2uranie
api/tensorflow2uranie
```