nav[aria-label="Primary Navigation"] { padding: 0; & ul { list-style: none; width: 100%; display: flex; flex-direction: row; justify-content: start; align-items: start; gap: 30px; padding: 0; & li { margin: 0; } & ul li { list-style: none; } } }

593501_zh-CN

liliconcom

互信息

如果 JMP 能够计算两个变量之间的互信息，这将很有用。这比相关指数提供更多信息，在特征选择和降维中非常有用

统计与分析

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