Fitting Data With Scipy’s UnivariateSpline() and LSQUnivariateSpline()

Опубликовано: 11 Февраль 2025
на канале: Finxter

3,053

Contributed By Andrea Ridolfi

What are splines?

Splines are mathematical functions that describe an ensemble of polynomials which are interconnected with each other in specific points called the knots of the spline.

They’re used to interpolate a set of data points with a function that shows a continuity among the considered range; this also means that the splines will generate a smooth function, which avoid abrupt changes in slope.

Compared to the more classical fitting methods, the main advantage of splines is that the polynomial equation is not the same throughout the whole range of data points. 🤩

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