{"id":29066913,"url":"https://github.com/rhaiscript/rhai-ml","last_synced_at":"2025-06-27T10:08:58.528Z","repository":{"id":181145223,"uuid":"625596729","full_name":"rhaiscript/rhai-ml","owner":"rhaiscript","description":"Machine learning for Rhai.","archived":false,"fork":false,"pushed_at":"2024-02-09T16:35:10.000Z","size":22,"stargazers_count":8,"open_issues_count":0,"forks_count":2,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-06-11T07:56:48.044Z","etag":null,"topics":["artificial-intelligence","lib","machine-learning","rhai","rhai-ml","scripting-language"],"latest_commit_sha":null,"homepage":"https://crates.io/crates/rhai-ml","language":"Rust","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rhaiscript.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE-APACHE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2023-04-09T15:50:56.000Z","updated_at":"2024-09-03T14:17:48.000Z","dependencies_parsed_at":"2023-07-14T08:41:29.800Z","dependency_job_id":null,"html_url":"https://github.com/rhaiscript/rhai-ml","commit_stats":null,"previous_names":["rhaiscript/rhai-ml"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/rhaiscript/rhai-ml","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rhaiscript%2Frhai-ml","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rhaiscript%2Frhai-ml/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rhaiscript%2Frhai-ml/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rhaiscript%2Frhai-ml/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rhaiscript","download_url":"https://codeload.github.com/rhaiscript/rhai-ml/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rhaiscript%2Frhai-ml/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262235784,"owners_count":23279567,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["artificial-intelligence","lib","machine-learning","rhai","rhai-ml","scripting-language"],"created_at":"2025-06-27T10:08:53.489Z","updated_at":"2025-06-27T10:08:58.517Z","avatar_url":"https://github.com/rhaiscript.png","language":"Rust","readme":"[![tests](https://github.com/rhaiscript/rhai-ml/actions/workflows/tests.yml/badge.svg)](https://github.com/rhaiscript/rhai-ml/actions/workflows/tests.yml)\n[![Crates.io](https://img.shields.io/crates/v/rhai-ml.svg)](https://crates.io/crates/rhai-ml)\n[![docs.rs](https://img.shields.io/docsrs/rhai-ml/latest?logo=rust)](https://docs.rs/rhai-ml)\n\n# About `rhai-ml`\n\nThis crate provides some basic machine learning and artificial intelligence utilities for the [`Rhai`](https://rhai.rs/) \nscripting language. For a complete API reference, check [the docs](https://docs.rs/rhai-ml).\n\n# Install\n\nTo use the latest released version of `rhai-ml`, add this to your `Cargo.toml`:\n\n```toml\nrhai-ml = \"0.1.2\"\n```\n\nTo use the bleeding edge instead, add this:\n\n```toml\nrhai-ml = { git = \"https://github.com/cmccomb/rhai-ml\" }\n```\n\n# Usage\n\nUsing this crate is pretty simple! If you just want to evaluate a single line of [`Rhai`](https://rhai.rs/), then you only need:\n\n```rust\nuse rhai::FLOAT;\nuse rhai_ml::eval;\nlet result = eval::\u003cFLOAT\u003e(\"\\\nlet xdata = [[1.0, 2.0], [2.0, 3.0], [3.0, 4.0]]; \\\nlet ydata = [1.0, 2.0, 3.0]; \\\nlet model = train(xdata, ydata, \\\"linear\\\"); \\\nlet ypred = predict(xdata, model);\nypred[0]\n\").unwrap();\n```\n\nIf you need to use `rhai-ml` as part of a persistent [`Rhai`](https://rhai.rs/) scripting engine, then do this instead:\n\n```rust\nuse rhai::{Engine, packages::Package, FLOAT};\nuse rhai_ml::MLPackage;\n\n// Create a new Rhai engine\nlet mut engine = Engine::new();\n\n// Add the rhai-ml package to the new engine\nengine.register_global_module(MLPackage::new().as_shared_module());\n\n// Now run your code\nlet value = engine.eval::\u003cFLOAT\u003e(\"\\\nlet xdata = [[1.0, 2.0], [2.0, 3.0], [3.0, 4.0]]; \\\nlet ydata = [1.0, 2.0, 3.0]; \\\nlet model = train(xdata, ydata, \\\"linear\\\"); \\\nlet ypred = predict(xdata, model);\nypred[0]\n\").unwrap();\n```\n\n# Features\n\n| Feature | Default | Description |\n| ----------- | -------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `metadata` | Disabled | Enables exporting function metadata and is ___necessary for running doc-tests on Rhai examples___. |\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frhaiscript%2Frhai-ml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frhaiscript%2Frhai-ml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frhaiscript%2Frhai-ml/lists"}