Sklearn Regression Simple Example

1. Linear regression:

Import pandas as PD
import NumPy as NP
from Sklearn import Linear_model as LM

#准备数据, the Fit function requires X to be a matrix, and the y term is a sequence, so only a single Variable needs to be transpose
A=pd.read_excel (R ' D:\baidu\Desktop\1.xls ')
b=a.icol (1)
b=[[x] for x in B] #或者b =b.reshape (len (b) , 1)
C=a.icol (2)

#训练模型
f=lm. Linearregression ()
f1=f.fit (b,c)

#获得结果
c,i,p=f1.coef_,f1.intercept_,f1.predict #f1. Coef_ as a factor, Intercept_ is a constant term, predict () gets the predictive result
print (c,i,p)