least-squares

Fits linear, polynomial, and nonlinear models to data using least squares regression. Supports ordinary least squares (OLS), weighted least squares (WLS), Ridge/Lasso regularization, custom nonlinear curve fitting, constrained least squares, MCMC Bayesian fitting, and statistical inference via numpy, scipy, scikit-learn, statsmodels, lmfit, cvxpy, iminuit, …

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