Renaming hotstart option and hist fields of optimization result (#…

…191)

* Renaming hot into warm start

Hot start would correspond to argmin checkpointing (not implemented) while warm start is the optimizer starting from existing DOE file

* Renaming x_hist/y_hist inx_doe/y_doe

* Fix py test

ego/examples/mopta08.rs

@@ -276,7 +276,7 @@ fn main() -> anyhow::Result<()> {
                 .infill_optimizer(InfillOptimizer::Slsqp)
                 .kpls_dim(kpls_dim)
                 .outdir(outdir)
-                .hot_start(true)
+                .warm_start(true)
         })
         .min_within(&xlimits)
         .run()

ego/src/egor.rs

@@ -223,8 +223,8 @@ impl<O: GroupFunc, SB: SurrogateBuilder> Egor<O, SB> {
             OptimResult {
                 x_opt: result.state.get_best_param().unwrap().to_owned(),
                 y_opt: result.state.get_full_best_cost().unwrap().to_owned(),
-                x_hist: x_data,
-                y_hist: y_data,
+                x_doe: x_data,
+                y_doe: y_data,
                 state: result.state,
             }
         } else {
@@ -241,8 +241,8 @@ impl<O: GroupFunc, SB: SurrogateBuilder> Egor<O, SB> {
             OptimResult {
                 x_opt: x_opt.row(0).to_owned(),
                 y_opt: result.state.get_full_best_cost().unwrap().to_owned(),
-                x_hist: x_data,
-                y_hist: y_data,
+                x_doe: x_data,
+                y_doe: y_data,
                 state: result.state,
             }
         };
@@ -413,8 +413,8 @@ mod tests {
 
     #[test]
     #[serial]
-    fn test_xsinx_with_hotstart_egor_builder() {
-        let outdir = "target/test_hotstart_01";
+    fn test_xsinx_with_warmstart_egor_builder() {
+        let outdir = "target/test_warmstart_01";
         let _ = std::fs::remove_file(format!("{outdir}/{DOE_INITIAL_FILE}"));
         let _ = std::fs::remove_file(format!("{outdir}/{DOE_FILE}"));
         let xlimits = array![[0.0, 25.0]];
@@ -430,7 +430,7 @@ mod tests {
         let doe: Array2<f64> = read_npy(&filepath).expect("file read");
 
         let res = EgorBuilder::optimize(xsinx)
-            .configure(|config| config.max_iters(3).outdir(outdir).hot_start(true).seed(42))
+            .configure(|config| config.max_iters(3).outdir(outdir).warm_start(true).seed(42))
             .min_within(&xlimits)
             .run()
             .expect("Egor should minimize xsinx");
@@ -720,13 +720,13 @@ mod tests {
 
     #[test]
     #[serial]
-    fn test_mixobj_mixint_hotstart_egor_builder() {
+    fn test_mixobj_mixint_warmstart_egor_builder() {
         let env = env_logger::Env::new().filter_or("EGOBOX_LOG", "info");
         let mut builder = env_logger::Builder::from_env(env);
         let builder = builder.target(env_logger::Target::Stdout);
         builder.try_init().ok();
 
-        let outdir = "target/test_hotstart_02";
+        let outdir = "target/test_warmstart_02";
         let outfile = format!("{outdir}/{DOE_INITIAL_FILE}");
         let _ = std::fs::remove_file(format!("{outdir}/{DOE_INITIAL_FILE}"));
         let _ = std::fs::remove_file(format!("{outdir}/{DOE_FILE}"));
@@ -752,7 +752,7 @@ mod tests {
         // Check that with no iteration, obj function is never called
         // as the DOE does not need to be evaluated!
         EgorBuilder::optimize(|_x| panic!("Should not call objective function!"))
-            .configure(|config| config.outdir(outdir).hot_start(true).max_iters(0).seed(42))
+            .configure(|config| config.outdir(outdir).warm_start(true).max_iters(0).seed(42))
             .min_within_mixint_space(&xtypes)
             .run()
             .unwrap();

ego/src/lib.rs

@@ -11,7 +11,7 @@
 //! * specify the initial doe,
 //! * parameterize internal optimization,
 //! * parameterize mixture of experts,
-//! * save intermediate results and allow hot restart,
+//! * save intermediate results and allow warm restart,
 //!
 //! # Examples
 //!

ego/src/solver/egor_config.rs

@@ -79,7 +79,7 @@ pub struct EgorConfig {
     /// Directory to save intermediate results: inital doe + evalutions at each iteration
     pub(crate) outdir: Option<String>,
     /// If true use `outdir` to retrieve and start from previous results
-    pub(crate) hot_start: bool,
+    pub(crate) warm_start: bool,
     /// List of x types allowing the handling of discrete input variables
     pub(crate) xtypes: Vec<XType>,
     /// A random generator seed used to get reproductible results.
@@ -108,7 +108,7 @@ impl Default for EgorConfig {
             n_clusters: 1,
             target: f64::NEG_INFINITY,
             outdir: None,
-            hot_start: false,
+            warm_start: false,
             xtypes: vec![],
             seed: None,
             trego: TregoConfig::default(),
@@ -248,7 +248,7 @@ impl EgorConfig {
         self
     }
 
-    /// Sets a directory to write optimization history and used as search path for hot start doe
+    /// Sets a directory to write optimization history and used as search path for warm start doe
     pub fn outdir(mut self, outdir: impl Into<String>) -> Self {
         self.outdir = Some(outdir.into());
         self
@@ -260,8 +260,8 @@ impl EgorConfig {
     }
 
     /// Whether we start by loading last DOE saved in `outdir` as initial DOE
-    pub fn hot_start(mut self, hot_start: bool) -> Self {
-        self.hot_start = hot_start;
+    pub fn warm_start(mut self, warm_start: bool) -> Self {
+        self.warm_start = warm_start;
         self
     }
 

ego/src/solver/egor_solver.rs

@@ -174,7 +174,7 @@ where
         let sampling = Lhs::new(&self.xlimits).with_rng(rng).kind(LhsKind::Maximin);
 
         let hstart_doe: Option<Array2<f64>> =
-            if self.config.hot_start && self.config.outdir.is_some() {
+            if self.config.warm_start && self.config.outdir.is_some() {
                 let path: &String = self.config.outdir.as_ref().unwrap();
                 let filepath = std::path::Path::new(&path).join(DOE_FILE);
                 if filepath.is_file() {

ego/src/types.rs

@@ -17,9 +17,9 @@ pub struct OptimResult<F: Float> {
     /// Optimum y value (e.g. f(x_opt))
     pub y_opt: Array1<F>,
     /// History of successive x values
-    pub x_hist: Array2<F>,
-    /// History of successive y values (e.g f(x_hist))
-    pub y_hist: Array2<F>,
+    pub x_doe: Array2<F>,
+    /// History of successive y values (e.g f(x_doe))
+    pub y_doe: Array2<F>,
     /// EgorSolver final state
     pub state: EgorState<F>,
 }

python/egobox/tests/test_egor.py

@@ -86,7 +86,7 @@ def test_xsinx_with_reclustering(self):
         self.assertAlmostEqual(-15.125, res.y_opt[0], delta=1e-3)
         self.assertAlmostEqual(18.935, res.x_opt[0], delta=1e-3)
 
-    def test_xsinx_with_hotstart(self):
+    def test_xsinx_with_warmstart(self):
         if os.path.exists("./test_dir/egor_initial_doe.npy"):
             os.remove("./test_dir/egor_initial_doe.npy")
         if os.path.exists("./test_dir/egor_doe.npy"):
@@ -99,7 +99,7 @@ def test_xsinx_with_hotstart(self):
         self.assertAlmostEqual(-15.125, res.y_opt[0], delta=1e-3)
         self.assertAlmostEqual(18.935, res.x_opt[0], delta=1e-3)
 
-        egor = egx.Egor(xlimits, outdir="./test_dir", hot_start=True)
+        egor = egx.Egor(xlimits, outdir="./test_dir", warm_start=True)
         res = egor.minimize(xsinx, max_iters=5)
         print(f"Optimization f={res.y_opt} at {res.x_opt}")
         self.assertAlmostEqual(-15.125, res.y_opt[0], delta=1e-2)
@@ -129,8 +129,8 @@ def test_g24(self):
         self.assertAlmostEqual(-5.5080, res.y_opt[0], delta=1e-2)
         self.assertAlmostEqual(2.3295, res.x_opt[0], delta=1e-2)
         self.assertAlmostEqual(3.1785, res.x_opt[1], delta=1e-2)
-        self.assertEqual((n_doe + max_iters, 2), res.x_hist.shape)
-        self.assertEqual((n_doe + max_iters, 1 + n_cstr), res.y_hist.shape)
+        self.assertEqual((n_doe + max_iters, 2), res.x_doe.shape)
+        self.assertEqual((n_doe + max_iters, 1 + n_cstr), res.y_doe.shape)
 
     def test_g24_kpls(self):
         egor = egx.Egor(

src/egor.rs

@@ -133,9 +133,9 @@ pub(crate) fn to_specs(py: Python, xlimits: Vec<Vec<f64>>) -> PyResult<PyObject>
 ///         Known optimum used as stopping criterion.
 ///
 ///     outdir (String)
-///         Directory to write optimization history and used as search path for hot start doe
+///         Directory to write optimization history and used as search path for warm start doe
 ///
-///     hot_start (bool)
+///     warm_start (bool)
 ///         Start by loading initial doe from <outdir> directory
 ///
 ///     seed (int >= 0)
@@ -161,7 +161,7 @@ pub(crate) struct Egor {
     pub n_optmod: usize,
     pub target: f64,
     pub outdir: Option<String>,
-    pub hot_start: bool,
+    pub warm_start: bool,
     pub seed: Option<u64>,
 }
 
@@ -172,9 +172,9 @@ pub(crate) struct OptimResult {
     #[pyo3(get)]
     y_opt: Py<PyArray1<f64>>,
     #[pyo3(get)]
-    x_hist: Py<PyArray2<f64>>,
+    x_doe: Py<PyArray2<f64>>,
     #[pyo3(get)]
-    y_hist: Py<PyArray2<f64>>,
+    y_doe: Py<PyArray2<f64>>,
 }
 
 #[pymethods]
@@ -199,7 +199,7 @@ impl Egor {
         n_optmod = 1,
         target = f64::NEG_INFINITY,
         outdir = None,
-        hot_start = false,
+        warm_start = false,
         seed = None
     ))]
     #[allow(clippy::too_many_arguments)]
@@ -223,7 +223,7 @@ impl Egor {
         n_optmod: usize,
         target: f64,
         outdir: Option<String>,
-        hot_start: bool,
+        warm_start: bool,
         seed: Option<u64>,
     ) -> Self {
         let doe = doe.map(|x| x.to_owned_array());
@@ -246,7 +246,7 @@ impl Egor {
             n_optmod,
             target,
             outdir,
-            hot_start,
+            warm_start,
             seed,
         }
     }
@@ -286,13 +286,13 @@ impl Egor {
         });
         let x_opt = res.x_opt.into_pyarray_bound(py).to_owned();
         let y_opt = res.y_opt.into_pyarray_bound(py).to_owned();
-        let x_hist = res.x_hist.into_pyarray_bound(py).to_owned();
-        let y_hist = res.y_hist.into_pyarray_bound(py).to_owned();
+        let x_doe = res.x_doe.into_pyarray_bound(py).to_owned();
+        let y_doe = res.y_doe.into_pyarray_bound(py).to_owned();
         Ok(OptimResult {
             x_opt: x_opt.into(),
             y_opt: y_opt.into(),
-            x_hist: x_hist.into(),
-            y_hist: y_hist.into(),
+            x_doe: x_doe.into(),
+            y_doe: y_doe.into(),
         })
     }
 
@@ -367,13 +367,13 @@ impl Egor {
         let idx = find_best_result_index(&y_doe, &self.cstr_tol());
         let x_opt = x_doe.row(idx).to_pyarray_bound(py).into();
         let y_opt = y_doe.row(idx).to_pyarray_bound(py).into();
-        let x_hist = x_doe.to_pyarray_bound(py).into();
-        let y_hist = y_doe.to_pyarray_bound(py).into();
+        let x_doe = x_doe.to_pyarray_bound(py).into();
+        let y_doe = y_doe.to_pyarray_bound(py).into();
         OptimResult {
             x_opt,
             y_opt,
-            x_hist,
-            y_hist,
+            x_doe,
+            y_doe,
         }
     }
 }
@@ -462,7 +462,7 @@ impl Egor {
             .trego(self.trego)
             .n_optmod(self.n_optmod)
             .target(self.target)
-            .hot_start(self.hot_start); // when used as a service no hotstart
+            .warm_start(self.warm_start); // when used as a service no warmstart
         if let Some(doe) = doe {
             config = config.doe(doe);
         };