Release: Scikit-Fuzzy 0.3

[JDWarner]

This major point release includes a number of improvements, primarily to the skfuzzy.control submodule. A significant bug was squashed, the entire system is markedly more performant, and users can now more intuitively control the aggregation method.

• Fixed a memory leak on repeated, cached simulations not entirely flushing the cache (#120)
• AND/OR aggregation methods are now directly exposed to the user (#126)
• np.interp is used under the hood, resulting in major performance improvements (#130)
• System visualization commands uniformly return both Matplotlib fig/axis objects, and better documented (#133/#136)

The update is live on PyPi, install or update existing installations with:

pip install -U scikit-fuzzy