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JSON is self-descriptive and easier to understandFree download address: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.* Reference source: pentestlab, FB editor-in-chief secret compiled, reprinted please indicate from FreeBuf.COM(Usually, just use the default rectangle or central focus metering)The following interface appears and the installation is successful.　　一切看似从未发生，一切仿佛无人知晓。但这只是一系列恐怖事件的开始。此后不久，一种神秘致命病毒开始在濒临崩溃的医院内传播…