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Considering N categories C1, C2 …, CN, the basic idea of multi-classification learning is "disassembly method", that is, multi-classification tasks are disassembled into several two-classification tasks to solve. Specifically, the problem is split first, and then a classifier is trained for each split second classification task. During the test, the prediction results of these classifiers are integrated to obtain the final multi-classification results. The key here is how to split multiple classification tasks and how to integrate multiple classifiers.Now there is a new activity name in the experience clothing: St. Pieta Guardian Plan 2.0, which can produce crystal fragments.Don't assume that owners who benefit from abusive content are responsible for this. For example, it is not because a photo has received hundreds of fake "likes" that the owner buys it. We have seen countless cases of attackers extracting legal content in order to cover up their traces or try to make us punish innocent users.2. In the above example, a set of state objects are created for each Context object. In fact, these state objects can be shared, and each Context object can share one state object. This is also one of the application scenarios of the meta-sharing mode郑氏白了她一眼道：早跟你说了，别顾头不顾尾的。影片讲述了一名杀手Asher（朗·普尔曼 饰）在执行最后一个任务时，遇到了一个让他生活颠覆的女人（法米克·詹森 饰）。