Skip to main content

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).

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

quickregress-0.1.2.tar.gz (2.3 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page