Python or SQL Logistic Regression

问题:

Given time-series data, I want to find the best fitting logarithmic curve. What are good libraries for doing this in either Python or SQL?

Edit: Specifically, what I'm looking for is a library that can fit data resembling a sigmoid function, with upper and lower horizontal asymptotes.

回答1:

If your data were categorical, then you could use a logistic regression to fit the probabilities of belonging to a class (classification).

However, I understand you are trying to fit the data to a sigmoid curve, which means you just want to minimize the mean squared error of the fit.

I would redirect you to the SciPy function called scipy.optimize.leastsq: it is used to perform least squares fits.