https://github.com/fl03/rstopo

This crate implements various abstractions, primitives, and utilities used in topology
https://github.com/fl03/rstopo

crates-io rust scientific topology

Last synced: 3 months ago
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This crate implements various abstractions, primitives, and utilities used in topology

• Host: GitHub
• URL: https://github.com/fl03/rstopo
• Owner: FL03
• License: apache-2.0
• Created: 2024-05-28T05:21:03.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2025-01-29T14:07:51.000Z (4 months ago)
• Last Synced: 2025-03-01T14:41:38.078Z (3 months ago)
• Topics: crates-io, rust, scientific, topology
• Language: Rust
• Homepage: https://crates.io/crates/rstopo
• Size: 29.3 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Security: SECURITY.md

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README

        
# rstopo

[![crates.io](https://img.shields.io/crates/v/concision.svg)](https://crates.io/crates/rstopo)

[![docs.rs](https://docs.rs/concision/badge.svg)](https://docs.rs/rstopo)

[![clippy](https://github.com/FL03/rstopo/actions/workflows/clippy.yml/badge.svg)](https://github.com/FL03/rstopo/actions/workflows/clippy.yml)

[![rust](https://github.com/FL03/rstopo/actions/workflows/rust.yml/badge.svg)](https://github.com/FL03/rstopo/actions/workflows/rust.yml)

***

### _The library is currently in the early stages of development and is not yet ready for production use._

rstopo is a mathematical library for Rust with a focus on topology. It is designed to be a lightweight and flexible library for machine learning and scientific computing.

## Features

* **Linear Models**: Linear regression, logistic regression, and linear classifiers.

## Getting Started

### Building from the source

Start by cloning the repository

```bash

git clone https://github.com/FL03/rstopo.git

cd rstopo

```

```bash

cargo build --features full -r --workspace

```

## Usage

### Example: Linear Model (biased)

```rust

    extern crate rstopo;

    fn main() -> anyhow::Result<()> {

        tracing_subscriber::fmt::init();

        tracing::info!("Starting linear model example");

        Ok(())

    }

```

## Contributing

Pull requests are welcome. For major changes, please open an issue first

to discuss what you would like to change.

Please make sure to update tests as appropriate.

## License

* [Apache-2.0](https://choosealicense.com/licenses/apache-2.0/)

* [MIT](https://choosealicense.com/licenses/mit/)