ffsvm 0.12.0

A libSVM compatible support vector machine, but up to 10x faster, for games or VR.
Documentation 
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use ffsvm::{Attribute, Header, ModelFile, SupportVector};
use rand::Rng;

pub fn random_dense<'b>(svm_type: &'b str, kernel_type: &'b str, total_sv: u32, attr: u32) -> ModelFile<'b> {
    let mut rng = rand::thread_rng();

    let header = Header {
        svm_type,
        kernel_type,
        total_sv,
        gamma: Some(rng.gen::<f32>()),
        coef0: Some(rng.gen::<f32>()),
        degree: Some(rng.gen_range(1..10)),
        nr_class: 2,
        rho: vec![rng.gen::<f64>()],
        label: vec![0, 1],
        prob_a: Some(vec![rng.gen::<f64>(), rng.gen::<f64>()]),
        prob_b: Some(vec![rng.gen::<f64>(), rng.gen::<f64>()]),
        nr_sv: vec![total_sv / 2, total_sv / 2],
    };

    let vectors = (0..total_sv)
        .map(|_| SupportVector {
            coefs: vec![rng.gen::<f32>()],
            features: (0..attr)
                .map(|i| Attribute {
                    index: i,
                    value: rng.gen::<f32>(),
                })
                .collect(),
        })
        .collect();

    ModelFile::new(header, vectors)
}