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behavior

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.

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racket-scaffold

Simple templated content generator integrated with raco

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rml-core

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.

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rml-decisiontrees

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.

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rml-knn

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.

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succeeds; has dependency problems0