Chcked mutual_info with sklearn

test.py

@@ -0,0 +1,10 @@
+from bayesclass.cppSelectFeatures import CSelectKBestWeighted
+
+
+X = [[x for x in range(i, i + 3)] for i in range(1, 30, 3)]
+weights = [25 / (i + 1) for i in range(10)]
+labels = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
+test = CSelectKBestWeighted(X, labels, weights, 3)
+test.fit()
+for item in test.get_score():
+    print(item)