Giù Marcer
7ad45a829e
In addition, the folder ex-7/iters was created in order to plot the results of the Perceptron method as a function of the iterations parameter.
49 lines
1.3 KiB
Python
Executable File
49 lines
1.3 KiB
Python
Executable File
#!/usr/bin/env python
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from pylab import *
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import sys
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def line(x, y, **args):
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'''line between two points x,y'''
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plot([x[0], y[0]], [x[1], y[1]], **args)
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w = loadtxt(sys.stdin, max_rows=2)
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v = array([[0, -1], [1, 0]]) @ w
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cut = float(input())
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n, m, d = map(int, input().split())
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data = loadtxt(sys.stdin).reshape(n + m, d)
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signal, noise = data[:n].T, data[n:].T
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plt.figure(figsize=(3, 3))
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rcParams['font.size'] = 8
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figure()
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figure(figsize=(3, 3))
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rcParams['font.size'] = 8
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subplot(aspect='equal')
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scatter(*signal, edgecolor='xkcd:charcoal',
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c='xkcd:dark yellow', label='signal')
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scatter(*noise, edgecolor='xkcd:charcoal',
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c='xkcd:pale purple', label='noise')
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line(-20*w, 20*w, c='xkcd:midnight blue', label='projection')
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line(w-10*v, w+10*v, c='xkcd:scarlet', label='cut')
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xlabel('x')
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ylabel('y')
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xlim(-1.5, 8)
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ylim(-1.5, 8)
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legend()
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tight_layout()
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savefig('notes/images/7-fisher-plane.pdf')
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plt.figure(figsize=(3, 3))
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rcParams['font.size'] = 8
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sig_proj = np.dot(w, signal)
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noise_proj = np.dot(w, noise)
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hist(sig_proj, color='xkcd:dark yellow', label='signal')
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hist(noise_proj, color='xkcd:pale purple', label='noise')
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axvline(cut, c='xkcd:scarlet', label='cut')
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xlabel('projection line')
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legend()
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tight_layout()
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savefig('notes/images/7-fisher-proj.pdf')
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