我正在尝试使用 entropy 计算 KL 散度scipy的功能。
我的p是:
array([[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.],
[ 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
[ 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]])
和q是:
array([[ 0.05242718, 0.04436347, 0.04130855, 0.04878344, 0.04310538,
0.02856853, 0.03303122, 0.02517992, 0.08525434, 0.03450324,
0.14580068, 0.1286993 , 0.28897473],
[ 0.65421444, 0.11592199, 0.0642645 , 0.02989768, 0.01385762,
0.01756484, 0.01024294, 0.00891479, 0.01140301, 0.00718939,
0.00938009, 0.01070139, 0.04644726],
[ 0.65984136, 0.13251236, 0.06345234, 0.02891162, 0.02429709,
0.02025307, 0.01073064, 0.01170066, 0.00678652, 0.00703361,
0.00560414, 0.00651137, 0.02236522],
[ 0.32315928, 0.23900077, 0.05460232, 0.03953635, 0.02901102,
0.01294443, 0.02372061, 0.02092882, 0.01188251, 0.01377188,
0.02976672, 0.05854314, 0.14313218],
[ 0.7717858 , 0.09692616, 0.03415596, 0.01713088, 0.01108141,
0.0128005 , 0.00847301, 0.01049734, 0.0052889 , 0.00514799,
0.00442508, 0.00485477, 0.01743218]], dtype=float32)
当我这样做时:
entropy(p[0],q[0])
我收到以下错误:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-201-563ea7d4decf> in <module>()
4 print('p0:',p[0])
5 print('q0:',q[0])
----> 6 entropy(p[0],q[0])
/Users/freelancer/anaconda/envs/py35/lib/python3.5/site-packages/matplotlib/mlab.py in entropy(y, bins)
1570 y = np.zeros((len(x)+2,), x.dtype)
1571 y[1:-1] = x
-> 1572 dif = np.diff(y)
1573 up = (dif == 1).nonzero()[0]
1574 dn = (dif == -1).nonzero()[0]
/Users/freelancer/anaconda/envs/py35/lib/python3.5/site-packages/numpy/lib/function_base.py in histogram(a, bins, range, normed, weights, density)
781 if (np.diff(bins) < 0).any():
782 raise ValueError(
--> 783 'bins must increase monotonically.')
784
785 # Initialize empty histogram
ValueError: bins must increase monotonically.
为什么会这样？
最佳答案
这适用于示例数组:
import scipy as sp
sp.stats.entropy(p[0], q[0])
查看错误消息中的堆栈跟踪，很明显您没有调用 scipy's entropy功能但是 matplotlib's entropy ，其工作原理不同。
这是相关部分:
/Users/freelancer/anaconda/envs/py35/lib/python3.5/site-packages/matplotlib/mlab.pyin entropy(y, bins)
关于numpy - 在 Scipy 中计算 KL 散度时出错，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/43797480/