Fixed the build

The TestCase.assertEquals() method appears to be available
in Python 3.9 thorugh 3.11, but not in Python 3.12.

sklearn2pmml/cross_reference/tests/test_cross_reference.py

@@ -59,17 +59,17 @@ def test_transform(self):
 		memorizer = Memorizer(memory, ["int"])
 		X = numpy.asarray([[-1], [1]])
 		memorizer.fit(X)
-		self.assertEquals(0, len(memory))
+		self.assertEqual(0, len(memory))
 		Xt = memorizer.transform(X)
 		self.assertEqual((2, 0), Xt.shape)
 		self.assertEqual(1, len(memory))
 		self.assertEqual([-1, 1], memory["int"].tolist())
 
 		memory = dict()
-		self.assertEquals(0, len(memory))
+		self.assertEqual(0, len(memory))
 		memorizer = Memorizer(memory, ["int"], transform_only = False)
 		memorizer.fit(X)
-		self.assertEquals(1, len(memory))
+		self.assertEqual(1, len(memory))
 
 		memory = DataFrame()
 		self.assertEqual((0, 0), memory.shape)

sklearn2pmml/tests/test_statsmodels.py

@@ -87,7 +87,7 @@ def test_ordinal_classification(self):
 		self.assertTrue(hasattr(classifier, "results_"))
 		self.assertEqual(["c1", "c2", "c3", "c4", "c5"], classifier.classes_.tolist())
 		self.assertEqual((10, ), classifier.coef_.shape)
-		self.assertEquals(0, classifier.intercept_)
+		self.assertEqual(0, classifier.intercept_)
 		self.assertEqual((4, ), classifier.threshold_.shape)
 		classifier.remove_data()
 		pred = classifier.predict(diabetes_X)