Supervised classifiers (SVM, k-NN, deep learning) trained on 5,574 annotated Java/.NET API documents achieve up to 87% AUPRC for single knowledge types and 79% MacroAUC for multi-label classification, with partial generalization to Python documentation.
Deep learning,
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PyRep modifies V-REP into a faster, Python-accessible simulator optimized for deep robot learning research.
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On Using Machine Learning to Identify Knowledge in API Reference Documentation
Supervised classifiers (SVM, k-NN, deep learning) trained on 5,574 annotated Java/.NET API documents achieve up to 87% AUPRC for single knowledge types and 79% MacroAUC for multi-label classification, with partial generalization to Python documentation.
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PyRep: Bringing V-REP to Deep Robot Learning
PyRep modifies V-REP into a faster, Python-accessible simulator optimized for deep robot learning research.