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Basic example of a Reproducible Research Project in Python

Project Description

Reproducible Logistic Regression on Fisher’s Iris Flower Database

This bundle contains the code I used to generate the tables on the paper:

  author = {John Doe},
  title = {A Simple Solution to Iris Flower Classification},
  year = {2015},
  month = jun,
  booktitle = {Reproducible Research Conference, Rio de Janeiro, 2015},
  url = {},

We appreciate your citation in case you use results obtained directly or indirectly via this software package.



$ python
$ ./bin/buildout

The tests on my paper were executed on a machine running Ubuntu 12.04, with Python versions 2.6, 2.7, 3.3 and 3.4, providing the same results.


I have created a script that can run the source code reproducing all tables from the above paper. Run it like so:

$ ./bin/

The contents of each table in the paper should be printed one after the other.


You can run unit tests I have prepared like this:

$ ./bin/nosetests

In case of problems, please get in touch with me by e-mail.


This work is licensed under the GPLv3.

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Source Jul 23, 2015

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