# kNN-P Classifier (Under Development)
[](./LICENSE)
## Overview
This repository contains an implementation of the kNN-P classifier, an enhanced version of the k-nearest neighbors algorithm utilizing membrane computing. kNN-P is designed for parallel and distributed computing, which can improve the performance of the original k-nearest neighbors algorithm for classification tasks.
**Please note that this project is currently under development.**
## Features
- Implementation of the kNN-P classifier.
- Designed for parallel and distributed computing.
- Improved performance for classification tasks.
## Installation
You can install this package using pip:
```bash
pip install knnp
```
## Usage
```python
from knnp.p_systems import kNN_P
# Create an instance of kNN-P
knn_p = kNN_P(n=100, d=2, q=10, m=5, k=3, maxstep=100)
# Load your training data (features) and class labels
training_data = ...
class_labels = ...
# Train the classifier
knn_p.fit(training_data, class_labels)
# Load your test data
test_data = ...
# Make predictions
predictions = knn_p.predict(test_data)
# Evaluate the predictions and calculate classification metrics
...
```
## Contributing
Contributions to this project are welcome. Please follow these guidelines for contributing:
1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Commit your changes.
4. Push your branch to your fork.
5. Create a pull request with a clear description of your changes.
## License
This project is open-source and available under the [MIT License](https://opensource.org/licenses/MIT).
## Contact
If you have questions or need further assistance, please feel free to reach out to [Khushiyant](mailto:khushiyant2002@gmail.com).
---
**Please note that this project is under development. Use it with caution, and contributions are encouraged.**
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