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JDWarner/scikit-fuzzy: Scikit-Fuzzy 0.3

Joshua D. Warner; Jason Sexauer; twmeggs; Alexandre M. S.; Aishwarya Unnikrishnan; Guilherme Castelão; Fernando Batista; Himanshu Mishra; the scikit-fuzzy contributors

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)

Thanks for using Scikit-Fuzzy, your reports keep making the package better!

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