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It is designed to be a lightweight and flexible library for machine learning and scientific computing.\n\n## Features\n\n* **Linear Models**: Linear regression, logistic regression, and linear classifiers.\n\n## Getting Started\n\n### Building from the source\n\nStart by cloning the repository\n\n```bash\ngit clone https://github.com/FL03/rstopo.git\ncd rstopo\n```\n\n```bash\ncargo build --features full -r --workspace\n```\n\n## Usage\n\n### Example: Linear Model (biased)\n\n```rust\n    extern crate rstopo;\n\n    fn main() -\u003e anyhow::Result\u003c()\u003e {\n        tracing_subscriber::fmt::init();\n        tracing::info!(\"Starting linear model example\");\n\n\n        Ok(())\n    }\n```\n\n## Contributing\n\nPull requests are welcome. For major changes, please open an issue first\nto discuss what you would like to change.\n\nPlease make sure to update tests as appropriate.\n\n## License\n\n* [Apache-2.0](https://choosealicense.com/licenses/apache-2.0/)\n* [MIT](https://choosealicense.com/licenses/mit/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffl03%2Frstopo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffl03%2Frstopo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffl03%2Frstopo/lists"}