use error_predictive_learning::*;
pub fn lin(ws: &[f64]) -> f64 {
utils::cmp(20, 0.0, 6.283185307179586,
|x| x.sin(),
|x| (x + ws[0]).cos())
}
fn main() {
let settings = TrainingSettings {
accuracy_error: 0.0,
step: 0.000000000000000000000001,
max_iterations: 1000000000000,
error_predictions: 3,
reset_interval: 40200 / 10,
elasticity: 1.55,
debug: true,
};
let weights = [-1.5707963183243376];
println!("{:?}", train(settings, &weights, lin));
}