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The TreeRank project is a R package implementing a Machine Learning algorithm to build tree-based ranking rules from data with binary labels, based on ROC optimization.
BaNU generates adaptable naive Bayesian networks from a database. The generated knowledge can be exported as Notation3 rules. Another feature is the ability to link with ILP systems such as Toplog and Aleph to find premises for the adaptable NBN's.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.