To get the logarithm with a custom base using math.log : import math number = 74088 # = 42^3 base = 42 exponent = math.log(number, base) # = 3. ... <看更多>
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To get the logarithm with a custom base using math.log : import math number = 74088 # = 42^3 base = 42 exponent = math.log(number, base) # = 3. ... <看更多>
... <看更多>
sum(numpy.log(y)) in log-likelihood? y is an n-dimensional array with n probabilities, and it comes from putting n samples into the density ... ... <看更多>
numpy.seterr test on log function. GitHub Gist: instantly share code, notes, and snippets. ... <看更多>
The basic np.log gives the natural logarithm; if you prefer to compute the base-2 logarithm or the base-10 logarithm, these are available as well: In [19]:. ... <看更多>