main.py 文件源码

python
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项目:classical-machine-learning-algorithm 作者: xwzhong 项目源码 文件源码
def plotRes(pre, real, test_x,l):
    s = set(pre)
    col = ['r','b','g','y','m']
    fig = plt.figure()

    ax = fig.add_subplot(111)
    for i in range(0, len(s)):
        index1 = pre == i
        index2 = real == i
        x1 = test_x[index1, :]
        x2 = test_x[index2, :]
        ax.scatter(x1[:,0],x1[:,1],color=col[i],marker='v',linewidths=0.5)
        ax.scatter(x2[:,0],x2[:,1],color=col[i],marker='.',linewidths=12)
    plt.title('learning rating='+str(l))
    plt.legend(('c1:predict','c1:true',\
                'c2:predict','c2:true',
                'c3:predict','c3:true',
                'c4:predict','c4:true',
                'c5:predict','c5:true'), shadow = True, loc = (0.01, 0.4))
    plt.show()
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