[BUG[ Use clone estimator in BaseDeepClusterer to fix `check_fit_up…

…dates_state` fail (#2309)

* use clone estimator

* also fix aebigru

aeon/clustering/deep_learning/_ae_bgru.py

@@ -140,10 +140,11 @@ def __init__(
         self.save_last_model = save_last_model
         self.best_file_name = best_file_name
         self.random_state = random_state
-        self.estimator = estimator
 
         super().__init__(
             n_clusters=n_clusters,
+            clustering_algorithm=clustering_algorithm,
+            clustering_params=clustering_params,
             estimator=estimator,
             batch_size=batch_size,
             last_file_name=last_file_name,
@@ -290,7 +291,7 @@ def _score(self, X, y=None):
         return self._estimator.score(latent_space)
 
     @classmethod
-    def get_test_params(cls, parameter_set="default"):
+    def _get_test_params(cls, parameter_set="default"):
         """Return testing parameter settings for the estimator.
 
         Parameters

aeon/clustering/deep_learning/base.py

@@ -4,6 +4,7 @@
 
 from abc import abstractmethod
 
+from aeon.base._base import _clone_estimator
 from aeon.clustering._k_means import TimeSeriesKMeans
 from aeon.clustering.base import BaseClusterer
 
@@ -116,7 +117,7 @@ def _fit_clustering(self, X):
                 n_clusters=2, distance="euclidean", averaging_method="mean"
             )
             if self.estimator is None
-            else self.estimator
+            else _clone_estimator(self.estimator)
         )
 
         # to be removed in 1.0.0

aeon/testing/testing_config.py

@@ -50,8 +50,6 @@
     "RSASTClassifier": ["check_fit_deterministic"],
     "SAST": ["check_fit_deterministic"],
     "RSAST": ["check_fit_deterministic"],
-    "AEFCNClusterer": ["check_fit_updates_state"],
-    "AEResNetClusterer": ["check_fit_updates_state"],
     "SFA": ["check_persistence_via_pickle", "check_fit_deterministic"],
     "CollectionId": ["check_transform_inverse_transform_equivalent"],
     "ScaledLogitSeriesTransformer": ["check_transform_inverse_transform_equivalent"],