ID3-based implementation of the ML Decision Tree algorithm
Visualize decision trees in Python
Flexible and Extensible Machine Learning in Ruby
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
CLI + Local MCP - A shared structured memory store across Claude Code, Cursor, Windsurf, Antigravity, and every MCP client. Semantically queryable.
Universal model exchange and serialization format for decision tree forests
1 capture since 2026-06-09
decisiontree.gemspec
· ruby · 0 dependencies
Gemfile
· ruby · 0 dependencies