Aug 25, 2016 · How can I write 1-e^ (-value1^2/2*value2^2) in Python? I don't know how to use power operator and e.

Aug 15, 2018 · The function you're using is known as the sigmoid function. You can build a function that will calculate every sigmoid of x. In order to use e^ (x) you can use the numpy function exp as shown …

May 3, 2014 · What is the question? How to calculate it (off-topic here, try math.stackexchange.com)? How to implement the calculation in Python (you might find this useful)? If you just want to use e, it's …

Jan 16, 2020 · Your calculator is using log to the base 10, while python's math library's log is log to the base e. If you need log to the base 10 in python, use the log10 function in the math library instead.

Jun 10, 2015 · While programming I noticed a difference between the result of math.exp (2) and math.e**2. As you can see below, this difference does not arise when calculating e^1.

Nov 17, 2015 · I am wondering why the result of log base 10 (1.5) in Python is 0.405465108108, while the real answer is 0.176091259. This is the code that I wrote: import math print math.log(1.5) How …

Sep 15, 2010 · How should I compute log to the base two in python. Eg. I have this equation where I am using log base 2 import math e = -(t/T)* math.log((t/T)[, 2])

Aug 11, 2015 · I'm very confused as to what np.exp() actually does. In the documentation it says that it: "Calculates the exponential of all elements in the input array." I'm confused as to what exactly this …

93 math.log is the natural logarithm: From the documentation: math.log (x [, base]) With one argument, return the natural logarithm of x (to base e). Your equation is therefore:

Feb 26, 2023 · math.exp works on a single number, the numpy version works on numpy arrays and is tremendously faster due to the benefits of vectorization. The exp function isn't alone in this - several …