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Manuel Raimann 964b4d5749 feat: add Objective trait and unify optimize API
- Add `Objective<V>` trait with lifecycle hooks (`before_trial`,
  `after_trial`, `max_retries`) in new `src/objective.rs`
- Replace 14+ optimize variants with 6 methods: `optimize`,
  `optimize_with`, and async/parallel counterparts
- `optimize*` methods accept closures directly (FnMut for sync, Fn for
  async); `optimize_with*` methods accept `impl Objective<V>` for
  struct-based objectives with hooks and retries
- Remove `optimize_until`, `optimize_with_callback`,
  `optimize_with_retries`, `optimize_with_checkpoint`, and all
  deprecated `_with_sampler` methods
2026-02-12 12:49:24 +01:00

47 lines
1.3 KiB
Rust

//! Async parallel optimization — evaluate multiple trials concurrently.
//!
//! Uses `optimize_parallel` with tokio to run several trials at once,
//! reducing wall-clock time when the objective involves blocking work.
//! Each sync closure is internally wrapped in `spawn_blocking`.
//!
//! Run with: `cargo run --example async_parallel --features async`
use optimizer::prelude::*;
#[tokio::main]
async fn main() -> optimizer::Result<()> {
let study: Study<f64> = Study::minimize(TpeSampler::new());
let x = FloatParam::new(-5.0, 5.0).name("x");
let y = FloatParam::new(-5.0, 5.0).name("y");
let n_trials = 30;
let concurrency = 4;
println!("Running {n_trials} trials with {concurrency} concurrent workers...");
let xc = x.clone();
let yc = y.clone();
study
.optimize_parallel(
n_trials,
concurrency,
move |trial: &mut optimizer::Trial| {
let xv = xc.suggest(trial)?;
let yv = yc.suggest(trial)?;
Ok::<_, optimizer::Error>(xv * xv + yv * yv)
},
)
.await?;
let best = study.best_trial()?;
println!(
"Best: f({:.3}, {:.3}) = {:.6}",
best.get(&x).unwrap(),
best.get(&y).unwrap(),
best.value,
);
Ok(())
}