Fix wrapper function to return list of predictions

Added return statement to wrapper function for proper output.

Author: cclauss

machine_learning/multilayer_perceptron_classifier.py

@@ -3,12 +3,14 @@
 X = [[0.0, 0.0], [1.0, 1.0], [1.0, 0.0], [0.0, 1.0]]
 y = [0, 1, 0, 0]
 
+
 clf = MLPClassifier(
     solver="lbfgs", alpha=1e-5, hidden_layer_sizes=(5, 2), random_state=1
 )
 
 clf.fit(X, y)
 
+
 test = [[0.0, 0.0], [0.0, 1.0], [1.0, 1.0]]
 Y = clf.predict(test)
 
@@ -18,7 +20,7 @@ def wrapper(y):
     >>> [int(x) for x in wrapper(Y)]
     [0, 0, 1]
     """
-
+    return list(y)
 
 if __name__ == "__main__":
     import doctest