#!/usr/bin/env python
# -*- coding: UTF-8 -*-
import numpy as np
from sklearn import datasets, linear_model

dataPath = r"./multiple.csv"
deliveryData = np.genfromtxt(dataPath, delimiter=',')

print "data"
print deliveryData

X = deliveryData[:, :-1]
Y = deliveryData[:, -1]

print "X:", X
print "Y:", Y

regr = linear_model.LinearRegression()
regr.fit(X, Y)

print "coefficients:", regr.coef_
print "intercept:", regr.intercept_

# 转换成一维数组,否则执行predict函数时报错
xPred = np.array([102, 6])
yPred = regr.predict(xPred.reshape(1, -1))

print yPred