fix validate parameters in fit for # KernelPCA,

ciku · ciku · commit 525b48c1742d · 2021-11-05T23:26:57.000+03:00
diff --git a/sklearn/decomposition/_kernel_pca.py b/sklearn/decomposition/_kernel_pca.py
@@ -257,8 +257,6 @@ def __init__(
         copy_X=True,
         n_jobs=None,
     ):
-        if fit_inverse_transform and kernel == "precomputed":
-            raise ValueError("Cannot fit_inverse_transform with a precomputed kernel.")
         self.n_components = n_components
         self.kernel = kernel
         self.kernel_params = kernel_params
@@ -434,6 +432,9 @@ def fit(self, X, y=None):
         K = self._get_kernel(X)
         self._fit_transform(K)
 
+        if self.fit_inverse_transform and self.kernel == "precomputed":
+            raise ValueError("Cannot fit_inverse_transform with a precomputed kernel.")
+
         if self.fit_inverse_transform:
             # no need to use the kernel to transform X, use shortcut expression
             X_transformed = self.eigenvectors_ * np.sqrt(self.eigenvalues_)
diff --git a/sklearn/tests/test_common.py b/sklearn/tests/test_common.py
@@ -410,7 +410,6 @@ def test_transformers_get_feature_names_out(transformer):
     "FeatureUnion",
     "GridSearchCV",
     "HalvingGridSearchCV",
-    "KernelPCA",
     "Pipeline",
     "SGDOneClassSVM",
     "TheilSenRegressor",
