import pandas as pd import numpy as np from sklearn import linear_model d = pd.read_csv("data.csv", sep=",") cl = linear_model.LinearRegression() X = d.loc[:, ['x3', 'x2']].as_matrix() Y = d['x1'].as_matrix() cl.fit(X, Y) a= cl.coef_ b = cl.intercept_ print(a) print(b)
