semvec/pypi-packages huggingface dataset:
cpymadtools 1.1.0
Lightweigth pythonic wrapper around cpymad, extracted from pyhdtoolkit
Requires Python: >=3.8

<h1 align="center">
  <b>cpymadtools</b>
</h1>

<p align="center">
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The `cpymadtools` package is a lightweigth pythonic wrapper around `cpymad` for `MAD-X` studies.


Link to [documentation].

## License

Copyright &copy; 2022 Felix Soubelet. [MIT License](LICENSE)

[documentation]: https://fsoubelet.github.io/cpymadtools/
haxorsiamnew 1.1.1
SMS Bomber Project.
Requires Python: >=3.6

<!-- CIRCLE_TOOLS -->
<!-- CODED BY SIAM -->

<div align="center" >
  <h1>SMS BOMBING SYSTEM</h1>
</div>
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  <img src="https://img.shields.io/badge/Version-2.1.3-orange?style=for-the-badge">
  <img src="https://img.shields.io/github/license/Aru-Ofc-git/ARU-BOMBER?style=for-the-badge">
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  <img src="https://img.shields.io/badge/Author-ARU-green?style=flat-square">
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  <h3>  If You need any Help please connect with us  </h3>
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<p align="center">Made With ❤️ by <a href="https://www.facebook.com/SKILLSIAM1245">ARU</a> </p>
bayesclass 0.1.0
A collection of Bayesian Estimators.
Requires Python: >=3.8

# bayesclass

## Bayesian Estimators

### TAN Tree augmented naive Bayes

Friedman, N., Geiger, D. & Goldszmidt, M. Bayesian Network Classifiers. Machine Learning 29, 131–163 (1997). https://doi.org/10.1023/A:1007465528199

### KDB

Mehran Sahami. 1996. Learning limited dependence Bayesian classifiers. In Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD'96). AAAI Press, 335–338.

### AODE Averaged One-Dependence Estimators

Webb, G., Boughton, J. & Wang, Z. Not So Naive Bayes: Aggregating One-Dependence Estimators. Mach Learn 58, 5–24 (2005). https://doi.org/10.1007/s10994-005-4258-6