Xcs

First Stable Release

[XCS Project Home](http://hosford42.github.io/xcs/)

Changes:
- Added unit testing.
- Added type checking.
- Significant speed improvements.
- Tutorial update.
- Major changes to interfaces and class/package names. (You'll want to read the updated tutorial.)
- Vastly improved in-source documentation.
- Various bugfixes.

The package has been made available as a wheel on pypi under the Revised BSD License and can be installed with pip using the command `pip install xcs`. It can also be downloaded directly from the python [package index](https://pypi.python.org/pypi?:action=display&name=xcs&version=1.0.0).

[XCS Project Home](http://hosford42.github.io/xcs/)

Changes:
- Updated `README` to point to the HTML version of the tutorial on `pythonhosted.org`
- Interface change - situation tracking
- Added `situation` argument to `ActionSet.__init__()`
- Added `situation` property to `ActionSet`
- Removed now unnecessary `situation` argument to `LCSAlgorithm.update()`
- Added `BitString.random()` to allow `numpy` to be used in bitwise mutations
when it is available.
- Added `BitString.crossover_template()` to allow `numpy` to be used in bit
condition crossover when available.
- Added initialization from ordinary strings to `__init__` methods of `BitString` and `BitCondition`
- Added the ability to detect and switch between numpy versus pure Python `BitString`
implementations.
- Fixed a bug in `BitString.__getitem__` in both implementations which was
causing the underlying array type to leak through when using slices.
- Added the abstract `reset()` method to `OnLineProblem`, and implemented it
for each problem class.
- Added the `HaystackProblem`, which requires the algorithm to search for a
single relevant bit among a large set of irrelevant ones.
- Fixed a bug where the wildcard probability was being inverted in the
`BitCondition.cover()` method.
- Renamed the tutorial to `XCSTutorial`
- Added new section to the tutorial, _Defining New Problem Types_

The package has been made available as a wheel on pypi under the Revised BSD License and can be installed with pip using the command `pip install xcs`. It can also be downloaded directly from the python [package index](https://pypi.python.org/pypi?:action=display&name=xcs&version=1.0.0a8).

[XCS Project Home](http://hosford42.github.io/xcs/)

Changes:
- Fixed file encoding issue which was preventing installation for some users.

The package has been made available as a wheel on pypi under the Revised BSD License and can be installed with pip using the command `pip install xcs`. It can also be downloaded directly from the python [package index](https://pypi.python.org/pypi?:action=display&name=xcs&version=1.0.0a7).

[XCS Project Home](http://hosford42.github.io/xcs/)

Changes:
- Improved README file
- Improved tutorial
- Added tutorial to distribution files
- Updated project home

The package has been made available as a wheel on pypi under the Revised BSD License and can be installed with pip using the command `pip install xcs`. It can also be downloaded directly from the python [package index](https://pypi.python.org/pypi?:action=display&name=xcs&version=1.0.0a6).

Changes:
- Major bug fix to resolve population size issue
- Added [tutorial](https://github.com/hosford42/xcs/blob/master/doc/Tutorial.ipynb)
- Documentation updates
- Significant changes to interface to separate algorithm from support functionality
- Replaced prints with logging

The package has been made available as a wheel on pypi and can be installed with pip using the command `pip install xcs`. It can also be downloaded directly from the python [package index](https://pypi.python.org/pypi?:action=display&name=xcs&version=1.0.0a5).

Enhancements continue in preparation for initial release of version 1.0.0.

Changes:
- Refactored to separate problems and problem interface from the algorithm itself
- Improved documentation
- Added iteration over Populations
- Added pretty-printing of Populations
- Improved version tracking mechanism

The package has been made available as a wheel on pypi and can be installed with pip using the command `pip install xcs`. It can also be downloaded directly from the python [package index](https://pypi.python.org/pypi?:action=display&name=xcs&version=1.0.0a4).