from numpy import genfromtxt
from sklearn import linear_model
datapath=r"Delivery_Dummy.csv"
data = genfromtxt(datapath,delimiter=",")
x = data[1:,:-1]
y = data[1:,-1]
print x
print y
mlr = linear_model.LinearRegression()
mlr.fit(x, y)
print mlr
print "coef:"
print mlr.coef_
print "intercept"
print mlr.intercept_
xPredict = [90,2,0,0,1]
yPredict = mlr.predict(xPredict)
print "predict:"
print yPredict
X
[[ 100. 4. 0. 1. 0.]
[ 50. 3. 1. 0. 0.]
[ 100. 4. 0. 1. 0.]
[ 100. 2. 0. 0. 1.]
[ 50. 2. 0. 0. 1.]
[ 80. 2. 0. 1. 0.]
[ 75. 3. 0. 1. 0.]
[ 65. 4. 1. 0. 0.]
[ 90. 3. 1. 0. 0.]
[ 90. 2. 0. 0. 1.]]
Y
[ 9.3 4.8 8.9 6.5 4.2 6.2 7.4 6. 7.6 6.1]
