Metadata-Version: 2.1
Name: sam-ml-py
Version: 0.4.0
Summary: a library for ML programing created by Samuel Brinkmann
Author: Samuel Brinkmann
License: MIT
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: scikit-learn
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: imbalanced-learn
Requires-Dist: pygame
Requires-Dist: ipywidgets
Requires-Dist: tqdm
Requires-Dist: statsmodels
Requires-Dist: sentence-transformers
Provides-Extra: test
Requires-Dist: pytest ; extra == 'test'
Requires-Dist: pylint (!=2.5.0) ; extra == 'test'
Requires-Dist: isort ; extra == 'test'
Requires-Dist: refurb ; extra == 'test'
Requires-Dist: black ; extra == 'test'

# SAM_ML
a library created by Samuel Brinkmann

## getting started

1. clone this repository into your current working directory

```
git clone https://github.com/Priapos1004/SAM_ML
```

2. go into the `SAM_ML` folder

```
cd SAM_ML/
```

3. install the package to your activated virtual environment

```
pip install -e .
```

4. now you can import the package, e.g.:

```
from sam_ml.models import RFC

RandomForestClassifier = RFC()
```

--> in the '[examples](https://github.com/Priapos1004/SAM_ML/tree/main/examples)' folder you can find notebooks with code snippets that explain the usage of the package
