* Updated TMCoalesced Test

* Update version for all mnist datsets.

test/test_classifiers.py

@@ -75,7 +75,7 @@ class TMCoalescedClassifierTests(unittest.TestCase, ClassifierTests):
     def setUp(self) -> None:
         from tmu.models.classification.coalesced_classifier import TMCoalescedClassifier
         self.model = TMCoalescedClassifier(
-            number_of_clauses=4,
+            number_of_clauses=10,
             T=10,
             s=10.0,
             max_included_literals=32,

tmu/data/fashion_mnist.py

@@ -55,9 +55,11 @@ def _transform(self, name, dataset):
 class KuzushijiMNIST(TMUDataset):
     def _retrieve_dataset(self) -> Dict[str, np.ndarray]:
         kwargs = dict()
-        pyver = tuple([int(x) for x in sklearn.__version__.split(".")])
+        # Parse the sklearn version string
+        sklearn_version = parse_version(sklearn.__version__)
 
-        if pyver[0] >= 1 and pyver[1] >= 2:
+        # Check if the major version is >= 1 and the minor version is >= 2
+        if sklearn_version >= parse_version("1.2"):
             kwargs["parser"] = "pandas"
 
         X, y = fetch_openml(
@@ -94,9 +96,11 @@ def __init__(self):
 
     def _retrieve_dataset(self) -> Dict[str, np.ndarray]:
         kwargs = dict()
-        pyver = tuple([int(x) for x in sklearn.__version__.split(".")])
+        # Parse the sklearn version string
+        sklearn_version = parse_version(sklearn.__version__)
 
-        if pyver[0] >= 1 and pyver[1] >= 2:
+        # Check if the major version is >= 1 and the minor version is >= 2
+        if sklearn_version >= parse_version("1.2"):
             kwargs["parser"] = "pandas"
 
         X, y = fetch_openml(