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Dear author,
I have seen a description from the paper of Nature Method 2017 that GRNBoost was taking advantages from the XGBoost library. However when it comes to the GRNBoost2 in pySCENIC (0.11.2), the default boosting library is changed to GradientBoostingRegressor from sklearn package and the XGB regressor has not yet been supported as the comments say in the codes of arboreto. I am confused about the consideration not to implement XGBoost in pySCENIC for its maybe better performance in speed than GradientBoostingRegressor.
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Dear author,
I have seen a description from the paper of Nature Method 2017 that GRNBoost was taking advantages from the XGBoost library. However when it comes to the GRNBoost2 in
pySCENIC(0.11.2), the default boosting library is changed toGradientBoostingRegressorfromsklearnpackage and the XGB regressor has not yet been supported as the comments say in the codes ofarboreto. I am confused about the consideration not to implement XGBoost in pySCENIC for its maybe better performance in speed than GradientBoostingRegressor.Beta Was this translation helpful? Give feedback.
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