Python Numpy AttributeError: 'float' 对象没有属性 'exp'
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Numpy AttributeError: 'float' object has no attribute 'exp'
提问by Il'ya Zhenin
Here is my code:
这是我的代码：
def sigmoid(X, T): return (1.0 / (1.0 + np.exp(-1.0*np.dot(X, T))))
And this line gives me error "AttributeError: 'float' object has no attribute 'exp'". X, t are Numpy ndarray.
这一行给了我错误“AttributeError：'float'对象没有属性'exp'”。X, t 是 Numpy ndarray。
回答by H.D.
Probably there's something wrong with the input values for X and/or T. The function from the question works ok:
X 和/或 T 的输入值可能有问题。问题中的函数工作正常：
import numpy as np
from math import e
def sigmoid(X, T):
return 1.0 / (1.0 + np.exp(-1.0 * np.dot(X, T)))
X = np.array([[1, 2, 3], [5, 0, 0]])
T = np.array([[1, 2], [1, 1], [4, 4]])
print(X.dot(T))
# Just to see if values are ok
print([1. / (1. + e ** el) for el in [-5, -10, -15, -16]])
print()
print(sigmoid(X, T))
Result:
结果：
[[15 16]
[ 5 10]]
[0.9933071490757153, 0.9999546021312976, 0.999999694097773, 0.9999998874648379]
[[ 0.99999969 0.99999989]
[ 0.99330715 0.9999546 ]]
Probably it's the dtype of your input arrays. Changing X to:
可能是您输入数组的 dtype。将 X 更改为：
X = np.array([[1, 2, 3], [5, 0, 0]], dtype=object)
Gives:
给出：
Traceback (most recent call last):
File "/[...]/stackoverflow_sigmoid.py", line 24, in <module>
print sigmoid(X, T)
File "/[...]/stackoverflow_sigmoid.py", line 14, in sigmoid
return 1.0 / (1.0 + np.exp(-1.0 * np.dot(X, T)))
AttributeError: exp
回答by mehtab rai
You convert type np.dot(X, T)to float32 like this:
您可以np.dot(X, T)像这样将类型转换为 float32：
z=np.array(np.dot(X, T),dtype=np.float32)
z=np.array(np.dot(X, T),dtype=np.float32)
def sigmoid(X, T):
return (1.0 / (1.0 + np.exp(-z)))
Hopefully it will finally work!
希望它最终会起作用！
