Fix errors introduced by sklearn 1.5 PR #229

* Fix check_pandas_support import error introduced by sklearn 1.5.0
* Fix in test_dch.py failing test_selected_idx_and_scores due to sign flip(s) in PCA

CHANGELOG

@@ -15,6 +15,7 @@ The rules for CHANGELOG file:
 ------------------
 - Updating ``FPS`` to allow a numpy array of ints as an initialize parameter (#145)
 - Supported Python versions are now ranging from 3.9 - 3.12.
+- Updating ``skmatter.datasets`` submodule to support sklearn 1.5.0 (#229)
 
 0.2.0 (2023/08/24)
 ------------------

src/skmatter/datasets/_base.py

@@ -1,7 +1,15 @@
 from os.path import dirname, join
 
 import numpy as np
-from sklearn.utils import Bunch, check_pandas_support
+import sklearn
+
+
+if sklearn.__version__ >= "1.5.0":
+    from sklearn.utils._optional_dependencies import check_pandas_support
+else:
+    from sklearn.utils import check_pandas_support
+
+from sklearn.utils import Bunch
 
 
 def load_nice_dataset():

tests/test_dch.py

@@ -30,7 +30,8 @@ def test_selected_idx_and_scores(self):
         selector.fit(self.T, self.y)
         self.assertTrue(np.allclose(selector.selected_idx_, self.idx))
 
-        feature_residuals = selector.score_feature_matrix(self.T)
+        # takes abs to avoid numerical noise changing the sign of PCA projections
+        feature_residuals = np.abs(selector.score_feature_matrix(self.T))
         val = np.max(
             np.abs(
                 (self.feature_residuals_100 - feature_residuals[100])