wajidarshad/LUPI-SVM
SVM with Learning Using Privileged Information (LUPI) framework
Implements stochastic sub-gradient optimization (SSGO) for LUPI training, enabling SVMs to leverage auxiliary teacher-provided information during training that becomes unavailable at test time. The solver is inspired by Pegasos and optimized for scenarios like protein binding prediction where supplementary data guides model learning without requiring deployment-time access. Suitable for applications where training-time privileged information can improve generalization on standard feature sets.
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Language
Python
License
GPL-3.0
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Last pushed
Nov 16, 2018
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