29 lines
573 B
Python
29 lines
573 B
Python
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#!/usr/bin/env python
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# -*- coding: UTF-8 -*-
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import numpy as np
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from sklearn import datasets, linear_model
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dataPath = r"./multiple.csv"
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deliveryData = np.genfromtxt(dataPath, delimiter=',')
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print "data"
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print deliveryData
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X = deliveryData[:, :-1]
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Y = deliveryData[:, -1]
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print "X:", X
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print "Y:", Y
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regr = linear_model.LinearRegression()
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regr.fit(X, Y)
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print "coefficients:", regr.coef_
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print "intercept:", regr.intercept_
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# 转换成一维数组,否则执行predict函数时报错
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xPred = np.array([102, 6])
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yPred = regr.predict(xPred.reshape(1, -1))
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print yPred
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