Metadata-Version: 1.1
Name: quickregress
Version: 0.1.1.post1
Summary: Provides a low-effort wrapper for sklearn's polynomial regression
Home-page: https://github.com/hexaguin/quickregress
Author: Ryan Hattie
Author-email: ryan@hattie.email
License: MIT
Download-URL: https://github.com/hexaguin/quickregress/archive/v_01.tar.gz
Description: # 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).
        
Keywords: sklearn,regression
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
