rrbob 1.0

fisher虹膜花数据库的可重复logistic回归

这个捆绑包包含我用来生成纸上表格的代码：

@inproceedings{bob2012,
  author = {John Doe},
  title = {A Simple Solution to Iris Flower Classification},
  year = {2015},
  month = jun,
  booktitle = {Reproducible Research Conference, Rio de Janeiro, 2015},
  url = {http://example.com/path/to/my/article.pdf},
}

如果您使用直接获得的结果或 间接通过这个软件包。

方法是使用bob的iris flower数据库api和logistic 回归训练器和线性机器可在该框架。作者 如果您使用他们的软件，您可以引用本文：

@inproceedings{bob2012,
  author = {A. Anjos AND L. El Shafey AND R. Wallace AND
  M. G\"unther AND C. McCool AND S. Marcel},
  title = {Bob: a free signal processing and machine learning
  toolbox for researchers},
  year = {2012},
  month = oct,
  booktitle = {20th ACM Conference on Multimedia Systems
  (ACMMM), Nara, Japan},
  publisher = {ACM Press},
  url =
  {http://publications.idiap.ch/downloads/papers/2012/Anjos_Bob_ACMMM12.pdf},
}

$ python bootstrap_buildout.py
$ ./bin/buildout

$ ./bin/paper.py

$ ./bin/nosetests