# concrete.ml.sklearn.md

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## module `concrete.ml.sklearn`

Import sklearn models.

### **Global Variables**

* **qnn\_module**
* **tree\_to\_numpy**
* **base**
* **glm**
* **linear\_model**
* **qnn**
* **rf**
* **svm**
* **tree**
* **xgb**

***

[![](https://img.shields.io/badge/-source-cccccc?style=flat-square)](https://github.com/zama-ai/concrete-ml/blob/release/1.1.x/src/concrete/ml/sklearn/__init__.py#L14)

### function `get_sklearn_models`

```python
get_sklearn_models()
```

Return the list of available models in Concrete ML.

**Returns:** the lists of models in Concrete ML

***

[![](https://img.shields.io/badge/-source-cccccc?style=flat-square)](https://github.com/zama-ai/concrete-ml/blob/release/1.1.x/src/concrete/ml/sklearn/__init__.py#L68)

### function `get_sklearn_linear_models`

```python
get_sklearn_linear_models(
    classifier: bool = True,
    regressor: bool = True,
    str_in_class_name: str = None
)
```

Return the list of available linear models in Concrete ML.

**Args:**

* `classifier` (bool): whether you want classifiers or not
* `regressor` (bool): whether you want regressors or not
* `str_in_class_name` (str): if not None, only return models with this as a substring in the class name

**Returns:** the lists of linear models in Concrete ML

***

[![](https://img.shields.io/badge/-source-cccccc?style=flat-square)](https://github.com/zama-ai/concrete-ml/blob/release/1.1.x/src/concrete/ml/sklearn/__init__.py#L86)

### function `get_sklearn_tree_models`

```python
get_sklearn_tree_models(
    classifier: bool = True,
    regressor: bool = True,
    str_in_class_name: str = None
)
```

Return the list of available tree models in Concrete ML.

**Args:**

* `classifier` (bool): whether you want classifiers or not
* `regressor` (bool): whether you want regressors or not
* `str_in_class_name` (str): if not None, only return models with this as a substring in the class name

**Returns:** the lists of tree models in Concrete ML

***

[![](https://img.shields.io/badge/-source-cccccc?style=flat-square)](https://github.com/zama-ai/concrete-ml/blob/release/1.1.x/src/concrete/ml/sklearn/__init__.py#L104)

### function `get_sklearn_neural_net_models`

```python
get_sklearn_neural_net_models(
    classifier: bool = True,
    regressor: bool = True,
    str_in_class_name: str = None
)
```

Return the list of available neural net models in Concrete ML.

**Args:**

* `classifier` (bool): whether you want classifiers or not
* `regressor` (bool): whether you want regressors or not
* `str_in_class_name` (str): if not None, only return models with this as a substring in the class name

**Returns:** the lists of neural net models in Concrete ML


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