How to replace elements in python array using numpy

Question

so I am working on finding the sigmoid equation for logistic regression for matrices. I have two matrices, z and g, and would like to replace the values in g with the sigmoid values. I have the following code, but cannot figure out how to replace the elements in g with its respective sigmoid value. Any help would be appreciated!

I have the following:

z = np.array([[1, 4, 5, 12], [-5, 8, 9, 10], [-6, 7, 11, 19]])
g = np.zeros(z.shape)
for row in z:
    for i in row:       
    sigmoid = 1/(1+np.exp(-i))

Question has in fact nothing to do with machine-learning, kindly do not spam irrelevant tags (removed). — desertnaut
– desertnaut, Commented Aug 16, 2020 at 18:41

Gil Pinsky · Accepted Answer · 2020-08-16 18:45:39Z

1

You can do it without a loop:

z = np.array([[1, 4, 5, 12], [-5, 8, 9, 10], [-6, 7, 11, 19]])
g = 1/(1+np.exp(-z))

answered Aug 16, 2020 at 18:45

Gil Pinsky

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