params

Author: fkiraly

src/hyperactive/opt/gridsearch/_sk.py

@@ -140,7 +140,7 @@ def _check_param_grid(self, param_grid):
                         "to be a non-empty sequence."
                     )
 
-    def _run(self, experiment, param_grid, error_score):
+    def _run(self, experiment, param_grid, error_score, backend, backend_params):
         """Run the optimization search process."""
         self._check_param_grid(param_grid)
         candidate_params = list(ParameterGrid(param_grid))
@@ -154,8 +154,8 @@ def _run(self, experiment, param_grid, error_score):
             fun=_score_params,
             iter=candidate_params,
             meta=meta,
-            backend=self.backend,
-            backend_params=self.backend_params,
+            backend=backend,
+            backend_params=backend_params,
         )
 
         best_index = np.argmin(scores)

src/hyperactive/opt/random_search.py

@@ -143,6 +143,8 @@ def _run(
         n_iter,
         random_state,
         error_score,
+        backend,
+        backend_params,
     ):
         """Sample ``n_iter`` points and return the best parameter set."""
         self._check_param_distributions(param_distributions)
@@ -163,8 +165,8 @@ def _run(
             fun=_score_params,
             iter=candidate_params,
             meta=meta,
-            backend=self.backend,
-            backend_params=self.backend_params,
+            backend=backend,
+            backend_params=backend_params,
         )
 
         best_index = int(np.argmin(scores))  # lower-is-better convention