Naive Bayes is a simple technique for constructing classifiers: models that assign class labels to problem instances, represented as vectors of feature values, where the class labels are drawn from some finite set. There is not a single algorithm for training such classifiers, but a family of algorithms.
Installation: online;
Dependent libraries: sklearn;
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依赖库文件:sklearn
安装方式:在线安装
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