python中用等高线图绘制SVM决策边界的问题

我正在尝试建立一个支持向量机，我想用等高线图绘制决策边界。问题是python抱怨索引无效。 我事先知道，我应该使用以下几行来进行绘图：

xgrid=numpy.linspace(-5,5)
ygrid=numpy.linspace(-4,4)

grid=numpy.array([[indicator(inputs,targets) for inputs in xgrid] for targets in ygrid])

plt.contour(xgrid, ygrid, grid,
            (-1.0,0.0,1.0),
            colors=('red','black','blue'),
            linewidths=(1,3,1))
 

我相信问题出在我自己的指示符函数代码中（该函数用于分类新数据点）：

但它无论如何都不起作用。

输入

是包含如下数据点的向量

array([[-6.63554270e-02, -6.37843596e-01],
       [ 4.75689244e-02, -4.97290290e-01],
       [-3.68237660e-01, -4.26781355e-01], ...

targets

是一个包含如下类的向量（仅包含负/正类）

_列表

是一个包含非零字母以及相应目标和数据点的列表

[array([10.        ,  3.70001649,  6.93179314,  0.63180963]),
 array([-1.,  1.,  1., -1.]),
 array([[-0.3227157 , -0.20585723],
        [ 1.41237288,  0.27633635],
        [-1.26207555,  0.16187663],
        [-0.17244547, -0.25010605]])]

alphas是由库函数

minimize

计算的，我已经被告知这些是正确的

最后，我得到的错误是：

grid=numpy.array([[indicator(inputs,targets) for inputs in xgrid] for targets in ygrid])
Traceback (most recent call last):

  File "<ipython-input-101-4447fd0f8b62>", line 1, in <module>
    grid=numpy.array([[indicator(inputs,targets) for inputs in xgrid] for targets in ygrid])

  File "<ipython-input-101-4447fd0f8b62>", line 1, in <listcomp>
    grid=numpy.array([[indicator(inputs,targets) for inputs in xgrid] for targets in ygrid])

  File "<ipython-input-101-4447fd0f8b62>", line 1, in <listcomp>
    grid=numpy.array([[indicator(inputs,targets) for inputs in xgrid] for targets in ygrid])

  File "<ipython-input-97-b3eda9982efd>", line 7, in indicator
    I_value=the_list[0][i]*the_list[1][i]*linear_kernel(s[i],the_list[2][i])

IndexError: invalid index to scalar variable.

---

但是我应该如何使用

指示器
来解决这个问题呢？我已经试了几个小时了，所以任何帮助都是非常欢迎的
 有人有什么想法吗？
array([-1., -1., -1.,  1., -1., -1., ...

[array([10.        ,  3.70001649,  6.93179314,  0.63180963]),
 array([-1.,  1.,  1., -1.]),
 array([[-0.3227157 , -0.20585723],
        [ 1.41237288,  0.27633635],
        [-1.26207555,  0.16187663],
        [-0.17244547, -0.25010605]])]

grid=numpy.array([[indicator(inputs,targets) for inputs in xgrid] for targets in ygrid])
Traceback (most recent call last):

  File "<ipython-input-101-4447fd0f8b62>", line 1, in <module>
    grid=numpy.array([[indicator(inputs,targets) for inputs in xgrid] for targets in ygrid])

  File "<ipython-input-101-4447fd0f8b62>", line 1, in <listcomp>
    grid=numpy.array([[indicator(inputs,targets) for inputs in xgrid] for targets in ygrid])

  File "<ipython-input-101-4447fd0f8b62>", line 1, in <listcomp>
    grid=numpy.array([[indicator(inputs,targets) for inputs in xgrid] for targets in ygrid])

  File "<ipython-input-97-b3eda9982efd>", line 7, in indicator
    I_value=the_list[0][i]*the_list[1][i]*linear_kernel(s[i],the_list[2][i])

IndexError: invalid index to scalar variable.

grid=numpy.array([[indicator(inputs,targets) for inputs in xgrid] for targets in ygrid])
Traceback (most recent call last):

  File "<ipython-input-105-4447fd0f8b62>", line 1, in <module>
    grid=numpy.array([[indicator(inputs,targets) for inputs in xgrid] for targets in ygrid])

  File "<ipython-input-105-4447fd0f8b62>", line 1, in <listcomp>
    grid=numpy.array([[indicator(inputs,targets) for inputs in xgrid] for targets in ygrid])

  File "<ipython-input-105-4447fd0f8b62>", line 1, in <listcomp>
    grid=numpy.array([[indicator(inputs,targets) for inputs in xgrid] for targets in ygrid])

  File "<ipython-input-104-9e034c04c6fb>", line 7, in indicator
    if I>0:

ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()