Function loss

numpy_ml/tests/test_trees.py:88–89

(yp, y)

            # initialize model
            def loss(yp, y):
                return 1 - accuracy_score(yp, y)

            criterion = np.random.choice(["entropy", "gini"])
            mine = DecisionTree(