Rustml is a library for doing machine learning in Rust.
The documentation of the project with a descprition of the modules can be found here.
Create a new project with cargo:
bash
cargo new example --bin
A new directory example
is created. Change into this directory and add the following lines Cargo.toml
:
[dependencies.rustml]
git = "https://github.com/daniel-e/rustml/"
or the following dependency:
[dependencies]
rustml = "*"
Edit the file main.rs
in the src
directory.
```rust
use rustml::*;
fn main() { let a = mat![ 1.0f32, 2.0; 3.0, 4.0; 5.0, 6.0 ]; let b = mat![ 5.0, 7.0; 6.0, 2.0 ]; let c = (a * b).unwrap();
println!("{}", c);
} ```
Now, in the example
directory run the example with cargo run
.
You can find other examples in the directory examples
. These examples can be executed with
Cargo as follows:
```bash cargo run --example vectoraddition cargo run --example matrixmultiplication cargo run --example scale_matrix
cargo run --example videohistogram cargo run --example mnistdigits ```
The rustml dataset package needs to be installed separately. The package currently contains
the MNIST database of handwritten digits and videos for the examples. Download the following
script which will download and install the package in your home in the directory
~/.rustml/
.
```bash
wget -q https://raw.githubusercontent.com/daniel-e/rustml/master/dldatasets.sh chmod +x dldatasets.sh
./dl_datasets.sh ```