Metadata-Version: 2.4
Name: minpy-ai
Version: 0.1.0
Summary: Einfache Machine-Learning-Library fuer Anfaenger (MinAI)
Author-email: julianwambach403-arch <julianwambach403@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/julianwambach403-arch/Pythonlibary
Project-URL: Documentation, https://github.com/julianwambach403-arch/Pythonlibary/tree/main/Anleitungen
Keywords: machine-learning,ai,beginner,minai,education
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Education
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: license-file

# minpy-ai (MinAI)

Einfache Machine-Learning-Library fuer Anfaenger. Keine Extra-Pakete noetig.

## Install

```bash
pip install minpy-ai
```

## Nutzung

```python
import MinAI as ai

X, y = ai.MakeBlobs()
model, score, *_ = ai.QuickTrain("knn", X=X, y=y, k=3)
print(score)
print(ai.Predict(model, [2, 2]))
```

## Features

- CSV laden, Train/Test-Split, Normalisieren
- Modelle: linear, knn, logistic, tree, neural net
- Score, Predict, Save/Load

Ausfuehrliche Anleitung: siehe Repository-Ordner `Anleitungen/MinAI.md`.
