"The check that init has a valid type and value is already taken care of by a generic validation tool." @jeremiedbb

Author: bnsh

sklearn/cluster/_kmeans.py

@@ -906,13 +906,8 @@ def _check_params_vs_input(self, X, default_n_init=None):
                 self._n_init = default_n_init
             elif callable(self.init):
                 self._n_init = default_n_init
-            elif _is_arraylike_not_scalar(self.init):
+            else: # array-like
                 self._n_init = 1
-            else:
-                raise ValueError(
-                    'Expect init to be one of ["k-means++", "random", callable or'
-                    "array-like of shape(n_clusters, n_features)]"
-                )
 
         if _is_arraylike_not_scalar(self.init) and self._n_init != 1:
             warnings.warn(