#model #machine-learning #predictions #dev #how #learn

tangram

Make predictions with a Tangram model from your Rust app. Learn more at https://www.tangram.dev/.

4 releases (breaking)

0.7.0 Aug 17, 2021
0.6.0 Jul 19, 2021
0.5.0 Jul 2, 2021
0.4.0 Jun 25, 2021
0.0.1 May 24, 2019

#216 in Machine learning

23 downloads per month

MIT license

285KB
7.5K SLoC

Tangram for Rust

The Tangram Rust library makes it easy to make predictions with your Tangram machine learning model from Rust.

Usage

[dependencies]
tangram = "*"
let model: tangram::Model = tangram::Model::from_path("heart_disease.tangram", None).unwrap();

let input = tangram::predict_input! {
  "age": 63.0,
  "gender": "male",
  // ...
};

let output = model.predict_one(input, None);

For more information, read the docs.

Examples

The source for this package contains a number of examples in the examples directory. Each example has a README.md explaining how to run it.


lib.rs:

The Tangram crate makes it easy to make predictions with your Tangram machine learning model from Rust.

Usage

[dependencies]
tangram = "*"
let model: tangram::Model = tangram::Model::from_path("heart_disease.tangram", None).unwrap();

let input = tangram::predict_input! {
"age": 63.0,
"gender": "male",
// ...
};

let output = model.predict_one(input, None);

For more information, read the docs.

Dependencies

~16–31MB
~508K SLoC