Aug 8, 2010 · 250 I have a set of data and I want to compare which line describes it best (polynomials of different orders, exponential or logarithmic). I use Python and Numpy and for …

Also like MATLAB/Octave, Numpy does not offer a logarithmic function for an arbitrary base. If you find log confusing you can create your own object ln that refers to the numpy.log function:

Apr 11, 2023 · That means if you have a function that computes the binary logarithm, you can use it to deduce the decimal logarithm or the natural (base e) logarithm. In particular, log10(x) = …

Oct 7, 2015 · The log cost function penalizes confident and wrong predictions heavily. If I use a cost function of MSE as below. If y=1 cost=(1-yhat)^2; if y=0 cost=yhat^2. This cost function is …

Oct 20, 2013 · You asked to convert linear to logarithmic, and you just plug the numbers into the formula. In this case, the linear input of 5.00 would become 1.02 on the logarithmic scale.

I want to plot a graph with one logarithmic axis using matplotlib. Sample program: import matplotlib.pyplot as plt a = [pow(10, i) for i in range(10)] # exponential fig = plt.figure() ax = fig.

Jan 18, 2020 · I'm trying to fit a log curve using curve_fit, assuming it follows Y=a*ln(X)+b, but the fitted data still looks off. Right now I'm using the following code: from scipy.optimize import …

Apr 20, 2018 · I would like to plot these points, and fit a curve to them that shows what value of x would be required to make y = 100.0 (y values are percentages). Here is what I have tried, but …

Sep 6, 2011 · This really depends on the domain of what values you want to compute a logarithm of. For IEEE doubles, many processors can take logarithms in a single assembly instruction; …

May 15, 2021 · I am trying to model some measures (lux, ohm) that behave as a logarithmic function. In order to do it, I've tried to model it with MATLAB by projecting the real values using …