use error_predictive_learning::*; pub fn lin(ws: &[f64]) -> f64 { utils::cmp(20, 0.0, 10.0, |x| 0.12345678987654321 - 9.876543210123456789 * x, |x| ws[0] + ws[1] * x) } fn main() { let settings = TrainingSettings { accuracy_error: 0.0, step: 0.0000000000000000000000000001, max_iterations: 1000000000000, error_predictions: 3, reset_interval: 40200, elasticity: 1.55, debug: true, }; let weights = [0.12345678970668006, -9.876543207050862]; println!("{:?}", train(settings, &weights, lin)); }