Update sklearn.py by addind catch to OptunaSearchCV

To allow for catching exceptions during fit, an init param for "catch" is added, which is passed to self.study_.optimize

optuna_integration/sklearn/sklearn.py

@@ -733,6 +733,7 @@ def __init__(
         timeout: float | None = None,
         verbose: int = 0,
         callbacks: list[Callable[[study_module.Study, FrozenTrial], None]] | None = None,
+        catch: Iterable[type[Exception]] | type[Exception] = (),
     ) -> None:
         _imports.check()
 
@@ -767,6 +768,7 @@ def __init__(
         self.timeout = timeout
         self.verbose = verbose
         self.callbacks = callbacks
+        self.catch = catch
 
     def _check_is_fitted(self) -> None:
         attributes = ["n_splits_", "sample_indices_", "scorer_", "study_"]
@@ -925,6 +927,7 @@ def fit(
             n_trials=self.n_trials,
             timeout=self.timeout,
             callbacks=self.callbacks,
+            catch=self.catch,
         )
 
         _logger.info("Finished hyperparameter search!")