Metadata-Version: 2.1
Name: stepwise-regression
Version: 1.0.2
Summary: A Python package to implement stepwise regression
Home-page: https://github.com/AakkashVijayakumar/stepwise-regression
Author: Aakkash Vijayakumar
Author-email: aakkashvijayakumar@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
Requires-Dist: statsmodels
Requires-Dist: pandas

# Stepwise Regression

A python package which executes linear regression forward and backward

# Usage

The package can be imported and the functions

forward_regression:

Performs a forward feature selection 
    based on p-value from statsmodels.api.OLS
    Arguments:
        X - pandas.DataFrame with candidate features
        y - list-like with the target
        threshold_in - include a feature if its p-value < threshold_in
        verbose - whether to print the sequence of inclusions and exclusions
    Returns: list of selected features

backward_regression:

Performs a forward feature selection 
    based on p-value from statsmodels.api.OLS
    Arguments:
        X - pandas.DataFrame with candidate features
        y - list-like with the target
        threshold_out - exclude a feature if its p-value > threshold_out
        verbose - whether to print the sequence of inclusions and exclusions
    Returns: list of selected features


can be used

