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