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Provides a low-effort wrapper for sklearn's polynomial regression

Project description


Polynomial regression for the lazy

quickregress is a minimalist wrapper for sklearn's polynomial and linear regression functionality, intended to reduce the amount of effort needed for simple regression operations.

quickregress provides one function: regress(x, y, degree). regress returns a RegressionResult, which has the following methods:

predict(x) returns the model's predictions for a list of x values.

formula(digits=6, latex=False) returns the model's formula as a string. digits changes the number of significant digits, and latex outputs a LaTeX-friendly string (for use with Jupyter and the like).

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