# concrete.ml.common.check\_inputs.md

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## module `concrete.ml.common.check_inputs`

Check and conversion tools.

Utils that are used to check (including convert) some data types which are compatible with scikit-learn to numpy types.

***

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### function `check_array_and_assert`

```python
check_array_and_assert(X, *args, **kwargs)
```

sklearn.utils.check\_array with an assert.

Equivalent of sklearn.utils.check\_array, with a final assert that the type is one which is supported by Concrete ML.

**Args:**

* `X` (object): Input object to check / convert
* `*args`: The arguments to pass to check\_array
* `**kwargs`: The keyword arguments to pass to check\_array

**Returns:** The converted and validated array

***

[![](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/common/check_inputs.py#L35)

### function `check_X_y_and_assert`

```python
check_X_y_and_assert(X, y, *args, **kwargs)
```

sklearn.utils.check\_X\_y with an assert.

Equivalent of sklearn.utils.check\_X\_y, with a final assert that the type is one which is supported by Concrete ML.

**Args:**

* `X` (ndarray, list, sparse matrix): Input data
* `y` (ndarray, list, sparse matrix): Labels
* `*args`: The arguments to pass to check\_X\_y
* `**kwargs`: The keyword arguments to pass to check\_X\_y

**Returns:** The converted and validated arrays

***

[![](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/common/check_inputs.py#L57)

### function `check_X_y_and_assert_multi_output`

```python
check_X_y_and_assert_multi_output(X, y, *args, **kwargs)
```

sklearn.utils.check\_X\_y with an assert and multi-output handling.

Equivalent of sklearn.utils.check\_X\_y, with a final assert that the type is one which is supported by Concrete ML. If y is 2D, allows multi-output.

**Args:**

* `X` (ndarray, list, sparse matrix): Input data
* `y` (ndarray, list, sparse matrix): Labels
* `*args`: The arguments to pass to check\_X\_y
* `**kwargs`: The keyword arguments to pass to check\_X\_y

**Returns:** The converted and validated arrays with multi-output targets.


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