BartoszPiotrowski/lean-premise-selection

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Premise selection for Lean The aim of this project is to provide a tool for premise selection for Lean users. The premise selection mechanism is based on machine learning -- a custom version of the random forest algorithm. The machine learning model is trained on data extracted from mathlib. Each training data point is a pair (features T, premises T), where T is a theorem, features T are features of a statement of T extracted by our featurizer, and premises T is a list of names of premises used in...