hw4.py 文件源码

python
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项目:caltech-machine-learning 作者: zhiyanfoo 项目源码 文件源码
def plot():
    e = Symbol('e')
    y = Symbol('y')
    n = Symbol('n')
    generalized_vc_bounds = (original_vc_bound, rademacher_penalty_bound)
    growth_function_bound = generate_growth_function_bound(50)
    p1 = plot(original_vc_bound(n, 0.05, growth_function_bound), (n,100, 15000), show=False, line_color = 'black')
    p2 = plot(rademacher_penalty_bound(n, 0.05, growth_function_bound), (n,100, 15000), show=False, line_color = 'blue')
    plot_implicit(Eq(e, parrondo_van_den_broek_right(e, n, 0.05, growth_function_bound)), (n,100, 15000), (e,0,5))
    # plot_implicit(Eq(e, devroye(e, n, 0.05, growth_function_bound)), (n,100, 1000), (e,0,5))
    p1.extend(p2)
    p1.show()

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