authorship

Code for the Authoriship Attribution project.

Style Guide

• Make changes through pull requests
• Submit issues and bug reports with GitHub issues
• Start reading the LowClass Python style-guide

Performance & Style

• Good programming style can lead to faster as well as cleaner code
• Refer to the python performance tips page for more info and general useful reading

Dependencies

• A number of standard python modules that can be installed using pip
• The easiest way of installing/maintaining many python packages is by using anaconda.

This directory (and all depencencies) should be added to your PYTHONPATH.

Data

• Choose your own data location
• Don't commit data to the repo

Read README_data.md for more.

Directories

notebooks

For ipython notebooks. Put your name in the notebook name to avoid redundancy.

schema

Schema for the data sets

scripts

Shell scripts, python scripts, etc...

Code Directories

authorship

modules specific to authorshipification project

authorship/utils

general utility modules

authorship/src

core source code

authorship/cmd

command-line utilities

authorship/tests

Unit tests for authorship.