ducky-learn

Crates.io	ducky-learn
lib.rs	ducky-learn
version	0.2.1
source	src
created_at	2023-02-01 10:50:31.665027
updated_at	2023-06-18 23:40:49.729714
description	A simple ML rust framework
homepage
repository
max_upload_size
id	773487
size	63,233

Chris Graham (Jack17432)

documentation

https://docs.rs/ducky-learn/latest/ducky_learn/

README

Ducky-Learn

Welcome to Ducky-Learn, a small machine learning package for Rust! This repository aims to provide a simple and user-friendly environment for implementing machine learning algorithms in Rust programming language.

Features

StdNaiveBayes Algorithm: The repository currently includes an implementation of the StdNaiveBayes algorithm, a simple yet effective classifier for text classification tasks.
Basic Neural Network: We are actively working on adding a basic neural network to the package. This will allow you to build and train neural networks for more complex machine learning tasks.

Getting Started

To get started with Ducky-Learn, follow the instructions below:

Ensure you have Rust installed. If not, you can download and install it from the official Rust website: https://www.rust-lang.org.

Clone the Ducky-Learn repository to your local machine:

git clone https://github.com/your-username/ducky-learn.git

Navigate to the cloned directory:
```
cd ducky-learn
```
Build and run the examples:
```
cargo run --example example_name
```
Replace example_name with the name of the example you want to run.
Explore the examples and the existing implementation to understand how to use the StdNaiveBayes algorithm in your own projects. Feel free to modify the code to suit your specific needs.

Contribution Guidelines

We welcome contributions to Ducky-Learn! If you would like to contribute to the project, please follow the guidelines below:

Fork the repository and clone it to your local machine.
Create a new branch for your feature or bug fix:
```
git checkout -b feature/your-feature-name
```
Implement your changes, keeping the code style consistent with the existing codebase.
Write tests to ensure the correctness of your implementation.
Run the existing tests and ensure they pass:
```
cargo test
```
Commit your changes with clear and descriptive commit messages.
Push your branch to your forked repository.
Submit a pull request to the main branch of the Ducky-Learn repository. Provide a detailed description of your changes and the problem they solve.

License

Ducky-Learn is distributed under the MIT License. See the LICENSE file for more information.

Acknowledgments

We would like to express our gratitude to the open-source community for their valuable contributions and support.

Contact

If you have any questions, suggestions, or feedback, please feel free to open an issue in the Ducky-Learn repository or reach out to us via email at chrisgraham908@gmail.com.

Happy machine learning with Ducky-Learn! 🦆

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