Some small problems in logistic regression

Mark some of the problems in logistic regression.

In LR, what happens to the Feature dimension > Sample quantity?

Reference: https://www.zhihu.com/question/31554489

In LR, linear can be divided and linearly non-divided, and how to influence the convergence.

Reference: HTTPS://WWW.ZHIHU.COM/QUESTION/29163846/ANSWER/43849528?UTM_SOURCE=WEIBO&UTM_MEDIUM=WEIBO_SHARE&UTM _content=share_answer&utm_campaign=share_button

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Learning ideas:

The definition of logistic regression--the probability of getting a real tag is maximum---max-likelihood function--solving parameters--maximizing the maximum likelihood function---gradient Method/Newton Method--to prevent overfitting--join regular.