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 | Zuffy - Fuzzy Pattern Trees with Genetic Programming |
**Version**: |version| **Date**: |today|
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Zuffy - Fuzzy Pattern Trees induced by Genetic Programming
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An Open Source sci-kit compatible classifier.
This package is part of an academic research exercise and it is designed to help a
Machine Learning developer to explore Fuzzy Pattern Trees (FPT).
FPTs are models that have high explainability and they help the researcher
explore a dataset where vague or ambiguous data may be present.
This kit will analyse a dataset and fuzzify the input features to generate
a collection of fuzzy sets. These sets become new features which are
combined with fuzzy operators to build a pattern tree.
The package uses Genetic Programming to induce the tree and it requires the
SymbolicClassifer from the open source gplearn package to support the
genetic evolution process.
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Table of Contents appears below here.
.. source/index
source/quick_start
source/user_guide
.. toctree::
:maxdepth: 10
:caption: Contents:
source/zuffy
source/zuffy_fit_iterator
source/fuzzy_transformer
source/visuals
source/_visuals_color_assignment
source/_fpt_operators
source/Examples