multioutput regression by xgboost - Stack Overflow
Sep 16, 2016 · Is it possible to train a model by xgboost that has multiple continuous outputs (multi-regression)? What would be the objective of training such a model?
How to get feature importance in xgboost? - Stack Overflow
Jun 4, 2016 · 19 According to this post there 3 different ways to get feature importance from Xgboost: use built-in feature importance, use permutation based importance, use shap based importance. …
XGBoost Categorical Variables: Dummification vs encoding
Dec 14, 2015 · "When using XGBoost we need to convert categorical variables into numeric." Not always, no. If booster=='gbtree' (the default), then XGBoost can handle categorical variables …
Custom loss function in XGBoost - Stack Overflow
Mar 9, 2025 · I would like to create a custom loss function for the "reg:pseudohubererror" objective in XGBoost. However, I am noticing a discrepancy between the results produced by the default …
How to install xgboost package in python (windows platform)?
Nov 17, 2015 · File "xgboost/libpath.py", line 44, in find_lib_path 'List of candidates:\n' + ('\n'.join(dll_path))) __builtin__.XGBoostLibraryNotFound: Cannot find XGBoost Libarary in the …
python - XGBoost GPU version not outperforming CPU on small …
May 2, 2025 · I'm currently working on a parallel and distributed computing project where I'm comparing the performance of XGBoost running on CPU vs GPU. The goal is to demonstrate how GPU …
XGBoost produce prediction result and probability
Apr 7, 2020 · 21 I am probably looking right over it in the documentation, but I wanted to know if there is a way with XGBoost to generate both the prediction and probability for the results? In my case, I am …
XGBOOST Model predicting, with nan Input values - Stack Overflow
Aug 29, 2023 · I am facing a weird behavior in the xgboost classifier. Reproducing the code from a response to this post import xgboost as xgb import numpy as np from sklearn.datasets import …
How to get the list of features which are actually used by XGBoost
Apr 17, 2023 · The correct approach would be to traverse XGBoost tree data structure, and collect node split indices (which correspond to column indices in your training dataset). If your model config is …
How to install xgboost in Anaconda Python (Windows platform)?
My PC Configurations are: Windows 10, 64 bit, 4GB RAM I have spent hours trying to find the right way to download the package after the 'pip install xgboost' failed in the Anaconda command prompt but …