Racket Machine Learning — Core🔗ℹ

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 data sets, individuals, and results and the classification of individuals against known data sets.

• classify — Provides algorithm-neutral higher-order functions for classification.

• data-set — An abstraction to load the features, vector data, and classifiers used by learning capabilities.

• individual — An individual to be classified or otherwise passed to a Learning capability.

• results — A matrix to record the results of training or classification.

This package does not assume anything about specific capabilities, and uses an expansive notion of machine learning that should cover statistical inferencing, tree and decision matrix models, as well as deep leaning approaches.