UrbsLab
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- United States of America
- https://www.med.upenn.edu/urbslab/
- @docurbs
- ryan.urbanowicz@cshs.org
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- scikit-rebate Public Forked from EpistasisLab/scikit-rebate
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
UrbsLab/scikit-rebate’s past year of commit activity - heros Public
The Heuristic Evolutionary Rule Optimization System (HEROS) is a supervised rule-based machine learning algorithm designed to agnostically model diverse 'structured' data problems and yield compact human interpretable solutions. This implementation is scikit-learn compatible.
UrbsLab/heros’s past year of commit activity - STREAMLINE Public
Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data
UrbsLab/STREAMLINE’s past year of commit activity - scikit-FIBERS Public
scikit-FIBERS (Feature Inclusion Bin Evolver for Risk Stratification) is a scikit-learn compatible machine learning algorithm for modeling or feature learning in survival analyses where feature 'burden' may be predictive of risk strata. Originally designed to identify amino-acid positions where mismatch burden predicts kidney graft failure risk.
UrbsLab/scikit-FIBERS’s past year of commit activity - survival-LCS Public
UrbsLab/survival-LCS’s past year of commit activity - scikit-eLCS Public
A scikit-learn-compatible Python implementation of eLCS, a supervised learning variant of Learning Classifier Systems
UrbsLab/scikit-eLCS’s past year of commit activity - scikit-XCS Public
scikit learn compatible implementation of XCS, the most popular and best studied learning classifier system algorithm to date.
UrbsLab/scikit-XCS’s past year of commit activity
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