cyint-regressions

Helper module to automatically create the best regressions for your data


License
MIT
Install
pip install cyint-regressions==1.0.0

Documentation

Build Status codecov

Regressions

Helper module to automatically create the best regressions for your data

Library to wrap helper functions for pyodbc in Aptiviti code. Target OS: Windows 10

Install as module

python3 -m pip install cyint-regressions

Then you can

from cyint_regressions import ...

Where ... is the function(s) you wish to import.

Examples:

from cyint_regressions import normal_test, calculate_residuals, has_multicolinearity, errors_autocorrelate from cyint_regressions import error_features_correlate, is_homoscedastic, boxcox_transform, join_dataset

Functions

Dependencies

First run

python3 -m pip install requirements.txt

before developing locally

Build

Delete the dist folder if it already exists. Don't forget to increment the version number in setup.py prior to building. python3 .\setup.py bdist_wheel to create the dist folder containing the package build.

Contributing

Email dfredriksen@cyint.technology if you would like to contribute