SimpleAI is an easy to use lib implementing in python many of the
artificial intelligence algorithms described on the book "Artificial
Ingelligence, a Modern Approach", from Stuart Russel and Peter Norvig.
This implementation takes some of the ideas from the Norvig's
implementation (the aima-python lib), but it's made with a more
"pythonic" approach, and more emphasis on creating a stable, modern,
and mantenible version. We are testing the majority of the lib, it's
available via pip install, has a standard repository and lib architecture,
well documented, respects the python pep8 guidelines, provides only
working code (no placeholders for future things), etc. Even the
internal code is written with readability in mind, not only the
This new release adds a few statistical classification methods to SIMPLEAI with
the intention of start replicating the machine learning aspects of aima-python.
There is a special focus in decision tree learning, where three different
methods for decision tree learning are added, with one of them following
strictly the aima pseudo-code, being particularly useful for teaching.
The other classifiers added are Naive Bayes and K-Nearest Neighbors.
This release also includes lots of tests for the classifiers, documentation,
and a few sample uses of the classifiers