Metadata-Version: 2.4
Name: mltools-anoir
Version: 0.1.1
Summary: Utilitaires ML légers : normalisation, split, encodage
Project-URL: Homepage, https://github.com/ibniyamine/mltools
Project-URL: Repository, https://github.com/ibniyamine/mltools
Project-URL: Bug Tracker, https://github.com/ibniyamine/mltools/issues
Author-email: anoir <anoir@example.com>
License: MIT
License-File: LICENCE
Keywords: data science,machine learning,preprocessing
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.10
Requires-Dist: numpy>=1.24
Provides-Extra: dev
Requires-Dist: mypy; extra == 'dev'
Requires-Dist: pytest-cov; extra == 'dev'
Requires-Dist: pytest>=7.0; extra == 'dev'
Requires-Dist: ruff; extra == 'dev'
Description-Content-Type: text/markdown

# mltools


Utilitaires ML légers : normalisation, train/test split, encodage one-hot.


## Installation


```bash
pip install mltools-anoir
```


## Utilisation


```python
import numpy as np
from mltools import normalize, train_test_split


X = np.array([[1, 2], [3, 4], [5, 6]])
X_norm = normalize(X)
```
