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BayesWitnesses / m2cgen

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m2cgen output for xgboost with binary:logistic objective returns raw (not transformed) scores

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ehoppmann
ehoppmann commented Aug 23, 2019

Our xgboost models use the binary:logistic' objective function, however the m2cgen converted version of the models return raw scores instead of the transformed scores.

This is fine as long as the user knows this is happening! I didn't, so it took a while to figure out what was going on. I'm wondering if perhaps a useful warning could be raised for users to alert them of this issue? A warning

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bug help wanted good first issue
awesome-decision-tree-papers

benedekrozemberczki / awesome-decision-tree-papers

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A collection of research papers on decision, classification and regression trees with implementations.

classifier machine-learning random-forest statistical-learning xgboost lightgbm gradient-boosting-machine ensemble-learning cart decision-tree tree-ensemble decision-tree-classifier gradient-boosting classification-trees decision-tree-learning decision-tree-model classification-model catboost regression-tree machine-learning-research
  • Updated Mar 2, 2022
  • Python

smartcorelib / smartcore

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hao-lh / books-making-you-better

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A list of time-lasting classic books, which could not only help you figure out how it works, but also grasp when it works and why it works in that way.

machine-learning reinforcement-learning computer-vision deep-learning linear-algebra statistical-learning inference stanford-university high-performance-computing bayesian-inference computer-architecture probabilistic-graphical-models hao 5th robert-tibshirani
  • Updated May 14, 2022

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