[머신러닝] Logistic Regression

import numpy as np import pandas as pd import matplotlib.pylab as plt dfLoad=pd.read_csv('https://sites.google.com/site/vlsicir/testData_workHour_vs_passFail.txt', sep="\s+"); xxRaw=np.array(dfLoad.values[:,0]) yyRaw=np.array(dfLoad.values[:,1]) plt.plot(xxRaw, yyRaw, "k.") def sigmoid(x): return 1.0/(1+np.exp(-x)) #xxTest=np.linspace(-10, 10, num=101) #plt.plot(xxTest, sigmoid(xxTest), "k-") N=..

2020.07.18