Overflow in exp in scipy/numpy in Python?

Question

What does the following error:

Warning: overflow encountered in exp

in scipy/numpy using Python generally mean? I\'m computing a ratio in log

Answer 1

I think you can use this method to solve this problem:

Normalized

I overcome the problem in this method. Before using this method, the accuracy my classify is :86%. After using this method, the accuracy of my classify is :96%!!! It's great!
first:
Min-Max scaling

second:
Z-score standardization

These are common methods to implement normalization.
I use the first method. And I alter it. The maximum number is divided by 10. So the maximum number of the result is 10. Then exp(-10) will be not overflow!
I hope my answer will help you !(^_^)