moved casting of y as array to main

Author: hamidkm9

src/linearboost/linear_boost.py

@@ -282,10 +282,10 @@ def fit(self, X, y, sample_weight=None) -> Self:
                 clone(_scalers[self.scaler]), clone(_scalers["minmax"])
             )
         X_transformed = self.scaler_.fit_transform(X)
+        y = np.asarray(y)
 
         if sample_weight is not None:
             sample_weight = np.asarray(sample_weight)
-            y = np.asarray(y)
             if sample_weight.shape[0] != X_transformed.shape[0]:
                 raise ValueError(
                     f"sample_weight.shape == {sample_weight.shape} is incompatible with X.shape == {X_transformed.shape}"

tests/test_linearboost.py

@@ -5,14 +5,6 @@
 from ._utils import check_estimator, get_expected_failed_tests, _yield_all_checks
 
 
-def get_expected_failed_tests(estimator):
-    failed = []
-    for check in _yield_all_checks(estimator):
-        if check.__name__ == "check_sample_weights_invariance":
-            failed.append(check)
-    return failed
-
-
 def test_linear_boost_estimator():
     """
     Test whether `LinearBoostClassifier` adheres to scikit-learn conventions.