semvec/pypi-packages huggingface dataset:
autofeat 2.1.3
Automatic Feature Engineering and Selection Linear Prediction Model
License: MIT
Requires Python: <3.13,>=3.8.1
Keywords: automl, feature engineering, feature selection, linear model

# `autofeat` library

This library contains `sklearn`-compatible linear prediction models with automated feature engineering and selection capabilities.

For more information please have a look at the [documentation](https://franziskahorn.de/autofeat).

The code is intended for research purposes.

If you have any questions please don't hesitate to send me an [email](mailto:cod3licious@gmail.com) and of course if you should find any bugs or want to contribute other improvements, pull requests are very welcome!


### Acknowledgments

This project was made possible thanks to support by [BASF](https://www.basf.com).
asuna-api 0.3.3
An async python wrapper for the asuna api
License: MIT
Requires Python: >=3.8
Keywords: wrapper, api, random

# asuna_api
Python wrapper for asuna.ga
I'm not the creator of asuna api, and some of the code came from the [iDutchy some-random-api project](https://github.com/iDutchy/sr_api) so credits to them.
Credits to iDutchy for the Original source and Thank You for letting me use your code.

For any questions and support for the wrapper, you can visit the [Discord support server](https://discord.gg/eVQH2ZRYpz "JDJG3493's Server") or DM me on Discord at jdjg. 

[Alternative Discord Server](https://discord.gg/fVTguWrhxY)

# Getting Started:
To begin with, you'll have to install the package by doing one of the following commands:
```shell
pip install -U asuna-api
```
```shell
python -m pip -U install asuna-api
```

Or you can install directly from source by doing one of the following commands:
```shell
pip install -U git+https://github.com/Senarc-Studios/asuna_api
```
```shell
python -m pip install -U git+https://github.com/Senarc-Studios/asuna_api
```

After that, you will have to create the client:
```python
import asuna_api

client = asuna_api.Client()
```

For full usage, please read the [documentation](https://github.com/Senarc-Studios/asuna_api/blob/main/DOCUMENTATION.md)