为什么需要在get dummy函数中使用drop_first参数

时间:2019-05-17 20:34:44

标签: python data-science logistic-regression dummy-variable

我对获取虚拟功能有疑问。为什么我们在假人时需要drop_first=truefalse。使用此参数的目的是什么?

我在Logistic回归中正在警告。这是“行搜索算法未收敛”。此警告和drop_first=false参数之间是否有关系?

警告完全在下面,

C:\Users\aslii\lib\site-packages\scipy\optimize\linesearch.py:313: LineSearchWarning: The line search algorithm did not converge
  warn('The line search algorithm did not converge', LineSearchWarning)
C:\Users\aslii\lib\site-packages\sklearn\utils\optimize.py:195: UserWarning: Line Search failed
  warnings.warn('Line Search failed')
C:\Users\aslii\lib\site-packages\scipy\optimize\linesearch.py:313: LineSearchWarning: The line search algorithm did not converge
  warn('The line search algorithm did not converge', LineSearchWarning)
C:\Users\aslii\lib\site-packages\sklearn\utils\optimize.py:195: UserWarning: Line Search failed
  warnings.warn('Line Search failed') 

预先感谢

0 个答案:

没有答案