Move tests to separate folder

tests/classifiers/test_counting.py

@@ -0,0 +1,18 @@
+#  MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
+#  Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
+#  Released under the modified BSD license. See COPYING.md for more details.
+
+import numpy as np
+from numpy.linalg import norm
+
+from miplearn.classifiers.counting import CountingClassifier
+
+E = 0.1
+
+
+def test_counting():
+    clf = CountingClassifier()
+    clf.fit(np.zeros((8, 25)), [0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0])
+    expected_proba = np.array([[0.375, 0.625], [0.375, 0.625]])
+    actual_proba = clf.predict_proba(np.zeros((2, 25)))
+    assert norm(actual_proba - expected_proba) < E