semvec/pypi-packages huggingface dataset:
pymhopt 0.0.2
Python Wrapper for Optimization Algorithms

# pymhopt: Python Wrapper for Optimization Algorithms 

This Python 3 code provides wrapper for symbolic regression providing two implementations a) Genetic Programming with symbolic regression b) multi-objective genetic programming using NSGA-II (https://ieeexplore.ieee.org/document/996017).

## Dependencies
pandas; numpy; scikit-learn; gplearn; graphviz.

## Installation
Run `pip install pymhopt` 

## Example 
See `test.py` for an example. 

## Acknowledgements & Credits

* The gplearn module is used as base for symbolic expression and genetic programming evaluations. (https://gplearn.readthedocs.io/en/stable/)
* The nsga-II algorithm is adapted from [marcovirgolin repo](https://github.com/marcovirgolin/pyNSGP/).
* A fast and elitist multiobjective genetic algorithm: NSGA-II (https://ieeexplore.ieee.org/document/996017)

Note:- This package is still under development & WORK IN PROGRESS, I will aim to cover a bunch of different meta-heuristics optimization algorithms.
smart-enums 0.1.0
Contains a Result and Option enum similar to other languages like Rust, Haskell or Elm.
Requires Python: >=3.6

# Smart Enums

Smart Enums is a small package to provide comfort enums from other languages like Rust, Haskell or Elm.

There are currently two enums included. The `Result` and `Some` enum.
Additional enums and functionality will be added in the future. This package is currently mostly for personal use but maybe someone else has use cases for it too. :blush: :relaxed: