changes for test() in adaboost.py #487
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ada_boost_train_ds()得到的agg_class_est是一个m*1维的矩阵，需对其转置后再进行argsort()等一系列操作。
另一种较繁琐的方法是修改plot_roc(pred_strengths, class_labels)
sorted_indicies = pred_strengths.argsort(axis=0)
同时在索引循环那改成
for index in sorted_indicies.tolist():
if class_labels[index[0]] == 1.0: