Repository: aeon-toolkit/aeon (python)
Issue: [BUG] Inverse transform uses method that has been refactored
### Describe the bug

whilst writing a test for BaseCollectionTransformer realised inverse_transform calls

       X_inner = self.preprocess_collection(X)

instead of 
       X_inner = self._preprocess_collection(X)






### Steps/Code to reproduce the bug

```python
    d = _Dummy()
    x, _ = make_3d_test_data()
    d.fit(x)
    d.set_tags(**{"skip-inverse-transform": True})
    x2 = d.inverse_transform(x)
    assert_almost_equal(x, x2)


### Expected results

pass test

### Actual results

```python-traceback
Traceback (most recent call last):
  File "C:\Program Files\JetBrains\PyCharm 2022.2.2\plugins\python\helpers\pycharm\_jb_unittest_runner.py", line 35, in <module>
    sys.exit(main(argv=args, module=None, testRunner=unittestpy.TeamcityTestRunner, buffer=not JB_DISABLE_BUFFERING))
  File "C:\Users\Tony Bagnall\AppData\Local\Programs\Python\Python39\lib\unittest\main.py", line 100, in __init__
    self.parseArgs(argv)
  File "C:\Users\Tony Bagnall\AppData\Local\Programs\Python\Python39\lib\unittest\main.py", line 147, in parseArgs
    self.createTests()
  File "C:\Users\Tony Bagnall\AppData\Local\Programs\Python\Python39\lib\unittest\main.py", line 158, in createTests
    self.test = self.testLoader.loadTestsFromNames(self.testNames,
  File "C:\Users\Tony Bagnall\AppData\Local\Programs\Python\Python39\lib\unittest\loader.py", line 220, in loadTestsFromNames
    suites = [self.loadTestsFromName(name, module) for name in names]
  File "C:\Users\Tony Bagnall\AppData\Local\Programs\Python\Python39\lib\unittest\loader.py", line 220, in <listcomp>
    suites = [self.loadTestsFromName(name, module) for name in names]
  File "C:\Users\Tony Bagnall\AppData\Local\Programs\Python\Python39\lib\unittest\loader.py", line 205, in loadTestsFromName
    test = obj()
  File "C:\Code\aeon\aeon\transformations\collection\tests\test_base.py", line 92, in test_inverse_transform
    x2 = d.inverse_transform(x)
  File "C:\Code\aeon\aeon\transformations\collection\base.py", line 198, in inverse_transform
    X_inner = self.preprocess_collection(X)
AttributeError: '_Dummy' object has no attribute 'preprocess_collection'

```

### Versions

_No response_
Pull request description: [ENH] Bug and coverage for BaseCollectionTransformer
#### Reference Issues/PRs

fixes #807 

#### What does this implement/fix? Explain your changes.
adds tests for inverse_transform, fixes an incorrect method call

#### Does your contribution introduce a new dependency? If yes, which one?

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#### Did you add any tests for the change?

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##### For all contributions
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Patch:
diff --git a/aeon/transformations/collection/base.py b/aeon/transformations/collection/base.py
index eed97f50..487b2d86 100644
--- a/aeon/transformations/collection/base.py
+++ b/aeon/transformations/collection/base.py
@@ -195,7 +195,7 @@ class BaseCollectionTransformer(
         self.check_is_fitted()
 
         # input check and conversion for X/y
-        X_inner = self.preprocess_collection(X)
+        X_inner = self._preprocess_collection(X)
         y_inner = y
 
         Xt = self._inverse_transform(X=X_inner, y=y_inner)


Test patch:
diff --git a/aeon/transformations/collection/tests/test_base.py b/aeon/transformations/collection/tests/test_base.py
index a9c2a72d..6573798a 100644
--- a/aeon/transformations/collection/tests/test_base.py
+++ b/aeon/transformations/collection/tests/test_base.py
@@ -1,9 +1,10 @@
 """Test input for the BaseCollectionTransformer."""
 
-__author__ = ["MatthewMiddlehurst"]
+__author__ = ["MatthewMiddlehurst", "TonyBagnall"]
 
 import numpy as np
 import pytest
+from numpy.testing import assert_almost_equal
 
 from aeon.datatypes import convert_to
 from aeon.transformations.collection import (
@@ -77,6 +78,24 @@ def test_collection_transformer_wrapper_collection(data_gen):
     assert Xt[0].ndim == 2
 
 
+def test_inverse_transform():
+    """Test inverse transform."""
+    d = _Dummy()
+    x, _ = make_3d_test_data()
+    d.fit(x)
+    d.set_tags(**{"skip-inverse-transform": True})
+    x2 = d.inverse_transform(x)
+    assert_almost_equal(x, x2)
+    d.set_tags(**{"skip-inverse-transform": False})
+    with pytest.raises(
+        NotImplementedError, match="does not implement " "inverse_transform"
+    ):
+        d.inverse_transform(x)
+    d.set_tags(**{"capability:inverse_transform": True})
+    x2 = d.inverse_transform(x)
+    assert_almost_equal(x, x2)
+
+
 class _Dummy(BaseCollectionTransformer):
     """Dummy transformer for testing.
 
@@ -97,3 +116,6 @@ class _Dummy(BaseCollectionTransformer):
         if isinstance(X, np.ndarray):
             return [x for x in X]
         return X
+
+    def _inverse_transform(self, X, y=None):
+        return X