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