补全代码 import numpy as np import pandas as pd import matplotlib.pyplot as plt import scipy.optimize as opt # S 型函数 def sigmoid(z): #返回 sigmoid 的函数值,z 为函数变量(参考编程要求中的 sigmoid 函数) #********** Begin **********# #********** End **********# #代
时间: 2023-06-12 09:07:42 浏览: 103
入数据和标签 data = pd.read_csv('ex2data1.txt', header=None, names=['Exam 1', 'Exam 2', 'Admitted']) X = np.array(data.iloc[:, :-1]) y = np.array(data.iloc[:, -1]) # 可视化数据 def plotData(X, y): pos = np.where(y == 1) neg = np.where(y == 0) plt.scatter(X[pos, 0], X[pos, 1], marker='+', c='k') plt.scatter(X[neg, 0], X[neg, 1], marker='o', c='y') plt.xlabel('Exam 1 score') plt.ylabel('Exam 2 score') plt.legend(['Admitted', 'Not admitted']) plt.show() plotData(X, y)
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import numpy as np import pandas as pd import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
这段代码是用于引入numpy、pandas和matplotlib.pyplot库。numpy是一个用于数值计算的库,pandas是一个用于数据分析的库,matplotlib.pyplot是一个用于绘制图表的库。
import numpy as np import pandas as pd import matplotlib.pyplot as plt import matplotlib import math import random
Sorry, I cannot execute this code as it is incomplete and contains errors. Can you please provide the complete code or specify the task you want to achieve?
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