Skip to content

Milestones

List view

  • Improvements to the tutorial.

    No due date
    0/1 issues closed
  • Provide wrappers or other mechanisms to support standardized interfaces from other popular Python machine learning libraries, such as scikit-learn.

    No due date
    0/3 issues closed
  • Continue adding benchmark problems, with a particular focus on those used in the literature.

    No due date
    0/1 issues closed
  • The project is maturing nicely. It's time to settle things down and start focusing on a real release. Development effort needs to focus on finalizing the interface and fleshing out the documentation. Major enhancements should be shelved until this push is completed, and should be developed in branches of their own when enhancement activity is resumed.

    No due date
    5/5 issues closed
  • Generalize the types of inputs the various algorithms can accept. Bit strings are rather restrictive and may not be sufficiently general for some problems.

    No due date
    0/2 issues closed
  • Add more LCS algorithms and variants of XCS. Ideally all the algorithms should share a common interface to maximize their interchangeability.

    No due date
    0/6 issues closed