https://github.com/hexaguin/quickregress

Provides a low-effort wrapper for sklearn's polynomial regression
https://github.com/hexaguin/quickregress

Last synced: 8 days ago
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Provides a low-effort wrapper for sklearn's polynomial regression

• Host: GitHub
• URL: https://github.com/hexaguin/quickregress
• Owner: hexaguin
• License: mit
• Created: 2020-01-23T05:12:45.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2022-08-23T20:02:27.000Z (over 2 years ago)
• Last Synced: 2024-03-24T12:20:22.967Z (10 months ago)
• Language: Python
• Size: 4.88 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# quickregress

## 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).