This package introduces a set of modeling techniques for exploring behavior in software systems.
Models such as state machines and Petri nets can be used to model the behavior of a system, and
Markov chains are used to generate events to help in the simulation of systems.
This package needs tags
Simple templated content generator integrated with raco
This Package is part of an expected set of packages implementing machine learning capabilities
for Racket. The core of this package is the management of 'datasets', these datasets are assumed
to be for training and testing of machine learning capabilities.
This Package is part of a set of packages implementing machine learning capabilities for Racket. This particular package implements support for classification of individuals using decision trees.
|succeeds; has failing tests||4|
This Package is part of a set of packages implementing machine learning capabilities for Racket. This particular package implements the K-Nearest Neighbor approach for classification.
|succeeds; has dependency problems||0|