NameError: name ‘weights‘ is not defined

Error display:

NameError: name 'weights' is not defined

Root Cause: missing code :

# add this code
weights = logRegres.gradAscent(dataArr,labelMat)

Issue 2:

如果是矩阵会报错：x and y must have same first dimension, but have shapes (60,) and (1, 60)x = arange(-3.0, 3.0, 0.1)，len(x) = [3-(-3)]/0.1 = 60 weights是矩阵的话，y = (-weights[0]-weights[1]*x)/weights[2]，len(y) = 1

Modified Code as below:

# Plotting the logistic regression best-fit line and dataset.def plotBestFit(weights):import matplotlib.pyplot as pltdataMat, labelMat = loadDataSet()dataArr = np.array(dataMat)n = np.shape(dataArr)[0]xcord1 = []; ycord1 = []xcord2 = []; ycord2 = []for i in range(n):if int(labelMat[i]) == 1:xcord1.append(dataArr[i, 1]); ycord1.append(dataArr[i, 2])else:xcord2.append(dataArr[i, 1]); ycord2.append(dataArr[i, 2])fig = plt.figure()ax = fig.add_subplot(111)ax.scatter(xcord1, ycord1, s=30, c='red', marker='s')ax.scatter(xcord2, ycord2, s=30, c='green')x = np.arange(-3.0, 3.0, 0.1)y = (-weights[0] - weights[1] * x) / weights[2]y = y.reshape((60,1)) # add this code to fix this issue ax.plot(x, y)plt.title('BestFit')plt.xlabel('X1'); plt.ylabel('X2')plt.show()

Display:

import logRegres
import imp
imp.reload(logRegres)
weights = logRegres.gradAscent(dataArr,labelMat)
logRegres.plotBestFit(weights)

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NameError: name ‘weights‘ is not defined

Error display:

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