How to calculate a logistic sigmoid function in Python?

Question

This is a logistic sigmoid function:

I know x. How can I calculate F(x

Answer 1

import numpy as np

def sigmoid(x):
    s = 1 / (1 + np.exp(-x))
    return s

result = sigmoid(0.467)
print(result)

The above code is the logistic sigmoid function in python. If I know that x = 0.467 , The sigmoid function, F(x) = 0.385. You can try to substitute any value of x you know in the above code, and you will get a different value of F(x).