PyLinReg

Linear Regression Model with only Python Standard Library based on
Ordinary Least Squares (OLS) Method

Quickstart

Requirements

This module use Python Standard Library only. Python version should be higher than 3.6

Install

pip install pylinreg

How to Use

This code works as module not a script.

Import

import pylinreg

Create linear regression model object

predictors = [1, 2, 3, 4, 5]
targets = [15, 25, 35, 45, 55]
Model = pylinreg.LinearModel(predictors, targets)

Get values of slope and intercept

slope = Model.slope
intercept = Model.intercept

Get prediction

predictor = 6
prediction = Model.make_prediction(predictor)

The prediction is 65.

Help

help(pylinreg)

Examples

Examples are available in the test.py

License

The content of this repository is licensed under MIT license. For more details, check LICENSE