Py-Boost
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sb-ai-lab
Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training
Dear Py-Boost developers, Thanks for the very interesting paper and for making the code publicly available. I am the author of [XGBoostLSS](https://github.com/StatMixedML/XGBoostLSS) and [LightGBMLSS](https://github.com/StatMixedML/LightGBMLSS) that extend the base implementations to...
 
pls clarify categorical values can be used or not - in paper written only numeric features remove unnecessary for our purposes features presented in modern gradient boosting toolkits (for example,...
seems to be GBM are bad on sparse data for classification how your code performing on sparse data NLP one hot data is very sparse , let say 98% of...
I am getting an out of memory error when trying to train a sketchboost model on a somewhat large dataset. The shape of the training set is (1348244, 320) and...
Hi! Thank you so much for the library; it’s really interesting for addressing multi-output issues. I’m trying to create two types of models. I have 50 targets, and the input...
## Issue Description When fitting `SketchBoost` with `FilterSketch` method, the training process fails with a CUDA illegal memory access error. The error occurs during model training and appears to be...
