I want to use numpy.exp
like this:
cc = np.array([
[0.120,0.34,-1234.1]
])
print 1/(1+np.exp(-cc))
But this gives me erro
The largest value representable by a numpy
float is 1.7976931348623157e+308, whose logarithm is about 709.782, so there is no way to represent np.exp(1234.1)
.
In [1]: import numpy as np
In [2]: np.finfo('d').max
Out[2]: 1.7976931348623157e+308
In [3]: np.log(_)
Out[3]: 709.78271289338397
In [4]: np.exp(709)
Out[4]: 8.2184074615549724e+307
In [5]: np.exp(710)
/usr/local/bin/ipython:1: RuntimeWarning: overflow encountered in exp
#!/usr/local/bin/python3.5
Out[5]: inf