The function logaddexp()
of numpy
in Python returns the logarithm of the sum of exponentiations of x1
and x2
inputs in base-2.
It can be expressed mathematically as:
logaddexp(x1, x2)
= log2( + )
logaddexp2(x1, x2, out)
The logaddexp2()
function takes the following parameter values:
x1, x2
: This represents the input arrays or scalers.out
: This represents a location where the result is stored. This is optional.The logaddexp2()
function returns the logarithm of the sum of the exponentiations of x1
and x2
in base-2.
from numpy import logaddexp2# creating our input valuesx = 2y = 3# calling the logaddexp2() functionmyresult = logaddexp2(x, y)print(myresult)
logaddexp2
from numpy
module.x
and y
.logaddexp2()
function on the variables x
and y
. The result is assigned to a variable myresult
.myresult
.The function logaddexp2()
is useful in statistics, especially when the probability of an event is so tiny that it exceeds the range of regular floating-point numbers. In such cases, the logarithm of the calculated probability is stored. The function allows storing the added probabilities in such a fashion.