CODEWITHSUNDEEP
pythonnumpy
Il'ya Zhenin
Il'ya Zhenin

Reputation: 1332

Numpy AttributeError: 'float' object has no attribute 'exp'

Here is my code:

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.

Upvotes: 31

Views: 144202

Answers (2)

H.D.
H.D.

Reputation: 4454

Probably there's something wrong with the input values for X and/or T. The function from the question works ok:

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:

[[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:

X = np.array([[1, 2, 3], [5, 0, 0]], dtype=object)

Gives:

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

Upvotes: 22

mehtab rai
mehtab rai

Reputation: 91

You convert type np.dot(X, T) to float32 like this:

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!

Upvotes: 9

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