Maintain Unreleased notes and add GridSearchCV example

RELEASES.md

@@ -5,14 +5,22 @@
 ### Added
 
 ### Changed
+- Changed `torml.model_selection.GridSearchCV` docs: added `examples/model_selection/plot_grid_search.py`.
 
 ### Deprecated
 
 ### Removed
 
 ### Fixed
+- Fixed Bandit scan scope to `torml/` (test asserts no longer reported as B101).
+- Fixed `check_estimator` name check (class name instead of full repr) and params round-trip comparison.
+- Fixed `get_tags` mixin detection (was crashing on every estimator).
+- Fixed `RandomState` attribute bookkeeping (reset/pickle/seed handling).
+- Fixed `MultiOutputRegressor`/`MultiOutputClassifier` nested `estimator__param` support.
 
 ### Security
+- Bumped `setuptools` 81.0.0 to 84.0.0 (CVE-2026-59890).
+- Pinned GitHub Actions to commit SHAs; added Dependabot config and `SECURITY.md`.
 
 ### Contributors
 

examples/model_selection/plot_grid_search.py

@@ -0,0 +1,29 @@
+"""Tune k with GridSearchCV and report the best params.
+
+Run with ``python examples/model_selection/plot_grid_search.py``.
+"""
+
+from __future__ import annotations
+
+import torch
+
+from torml.model_selection import GridSearchCV
+from torml.neighbors import KNeighborsClassifier
+
+
+def main() -> None:
+    """Run the grid search example."""
+    torch.manual_seed(0)
+    x0 = torch.randn(30, 2) + torch.tensor([-2.0, 0.0])
+    x1 = torch.randn(30, 2) + torch.tensor([2.0, 0.0])
+    X = torch.cat([x0, x1])
+    y = torch.cat([torch.zeros(30), torch.ones(30)]).long()
+
+    gs = GridSearchCV(KNeighborsClassifier(), {"n_neighbors": [1, 3, 7]}, cv=3)
+    gs.fit(X, y)
+    print(f"best params: {gs.best_params_}")
+    print(f"best score: {gs.best_score_:.4f}")
+
+
+if __name__ == "__main__":
+    main()