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python-3.xnumpyexpoverflowexception
user3868051
user3868051

Reputation: 1259

exp() overflow error python 3

I tried various solutions for below, but I still get the errors as described:

log1p(1 + math.exp(comp * -1))

Error: OverflowError: math range error

So I changed it to: log1p(1 + np.exp(comp * -1)) Now I get error : RuntimeWarning: overflow encountered in exp

So again based on some suggestion on previous questions asked I changed it to: log1p(1 + np.exp((comp * -1), dtype=np.float256))

Now my error is : module 'numpy' has no attribute 'float256'

Any other suggestions? Please help thanks!

EDIT: X -> Input feature array of 'N' rows and 'm' features. w -> weight vector of size 'm'

    for rowIndex in range(len(X)):
        val1 = np.sum(np.dot(X[rowIndex], w))
        val2 = y[rowIndex]
        comp = np.dot(val2, val1)
        loss = loss + log1p(1 + np.exp((comp * -1)))

Upvotes: 0

Views: 307

Answers (1)

user3868051
user3868051

Reputation: 1259

I replaced the code as below:

loss = loss - log1p(expit(val))

Basically I rearranged my code to be able to use the expit function...

Upvotes: 0

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