import pandas as pd import numpy as np from sklearn import linear_model data = pd.read_csv("data.csv", sep=",") clp = linear_model.LinearRegression() x1 = data.loc[:, ['x1', 'x2']].as_matrix() y = data['x3'].as_matrix() clp.fit(x1,y) a1 = clp.coef_ b1 = clp.intercept_ print(a1) print(b1) print(clp.score(x1, y))
