model.py 文件源码

def run(self):
        """ ?? """
        # ????
        X, Y = self._fetch_data()
        clf = self.get_classifier(X, Y)
        # ??
        X, Y = self._fetch_test_data()
        res = []
        for item in range(11):
            hit_ratio = self.predict(clf, X, Y, item * 0.1)
            res.append([item * 0.1 * 100, hit_ratio * 100])

        # ??????????????
        arr = np.array(res)
        plt.plot(arr[:, 0], arr[:, 1])        # ???
        plt.plot(arr[:, 0], arr[:, 1], 'ro')  # ???
        plt.xlabel('???(%)')
        plt.ylabel('???(%)')
        plt.title('??Lasso?????????????')
        plt.show()