Python implementation of evolving algorithms.
This is a library project to facilitate the use of evolutionary algorithms. Initially, the algorithms added to the library perform data clustering.
├── LICENSE
│
├── README.md <- The top-level README for developers using this project.
│
├── algoritms <- Trained and serialized models, model predictions, or model summaries.
│ ├── __init__.py <- Makes algoritms a Python module.
│ └── denstream <- DenStream algorithm folder.
│ └── sostream <- SOStream algorithm folder.
│ └── macro_sostream <- Macro SOStream algorithm folder, modification of SOStream.
│ └── autocloud <- Auto-cloud algorithm folder.
│
├── metrics <- Scikit-learn purity, accuracy, recall and f1-score metrics.
│ ├── __init__.py <- Makes metrics a Python module.
│ └── Metrics.py
│
├── notebooks examples <- Jupyter notebooks with usage examples.
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└── setup.py <- Makes project pip installable.
The project is still under construction, so if you like it enough to collaborate, just let us know or simply create a Pull Request.