Autoregression

Clean, graph, and model your data in one command.

Automatically assess and test multiple working machine learning techniques.

Included are two extra modules:

Galgraphs

A library of graphing functions.

Graphs with ax take a axis from matplotlib. Use pattern matplotlib 'fig, ax = subplots(1,1)' for best effect.

Graphs without an 'ax' input plot themselves.

The code used here HEAVILY relies upon the foundational work of Matt Drury. This project just wouldn't be the same without it. Pandas and matplotlib. are also foundational tools to the work.

Cleandata

Cleans pandas dataframes using modern machine learning practices.

Turn first to clean_df(). It's your friend in a world of darkness. It detects all manner of unmentionable values and replaces them with the mean or distinguishing feature.

Installation

A setup.py file is included. To install into a python environment run

pip install git+https://github.com/pgeurin/autoregression.git

Versioning

0.0.1 - Working graphs. 0.0.2 - Documentation. 0.0.3 - More graphs. 0.0.4 - Cleaning. AutoRegression.