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发表于 2020-4-17 11:05:51
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请教一下下面这段什么意思?表示目前SVM只能分类只能分成两类吗?要分辨10个数字,为什么需要45组?
An SVM classifier is a binary classifier. If you want to work with more classes, you need to
create classifiers for each distinct pair of classes, and use a majority voting on the results to
select the final class.
For instance, in the following example from scikit-learn, SVM is used to recognize digits. With
ten digits, there are 45 pairs. This means that there are 45 SVM classifiers. Scikit-learn creates
them automatically using the strategy one-vs-one: each classed is compared with every other
class. |
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