rhai-mlThis crate provides some basic machine learning and artificial intelligence utilities for the Rhai
scripting language. For a complete API reference, check the docs.
To use the latest released version of rhai-ml, add this to your Cargo.toml:
toml
rhai-ml = "0.1.0"
To use the bleeding edge instead, add this:
toml
rhai-ml = { git = "https://github.com/cmccomb/rhai-ml" }
Using this crate is pretty simple! If you just want to evaluate a single line of Rhai, then you only need:
rust
use rhai::FLOAT;
use rhai_ml::eval;
let result = eval::<FLOAT>("\
let xdata = [[1.0, 2.0], [2.0, 3.0], [3.0, 4.0]]; \
let ydata = [1.0, 2.0, 3.0]; \
let model = train(xdata, ydata, \"linear\"); \
let ypred = predict(xdata, model);
ypred[0]
").unwrap();
If you need to use rhai-ml as part of a persistent Rhai scripting engine, then do this instead:
```rust use rhai::{Engine, packages::Package, FLOAT}; use rhai_ml::MLPackage;
// Create a new Rhai engine let mut engine = Engine::new();
// Add the rhai-ml package to the new engine engine.registerglobalmodule(MLPackage::new().assharedmodule());
// Now run your code
let value = engine.eval::
| Feature | Default | Description |
| ----------- | -------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| metadata | Disabled | Enables exporting function metadata and is necessary for running doc-tests on Rhai examples. |