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?
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 …
How to get feature importance in xgboost? - Stack Overflow
Jun 4, 2016 · How to get feature importance in xgboost? Asked 9 years, 6 months ago Modified 4 years ago Viewed 249k times
Converting XGBoost Shapely values to SHAP's Explanation object
Jan 11, 2024 · I am trying to convert XGBoost shapely values into an SHAP explainer object. Using the example [here] [1] with the built in SHAP library takes days to run (even on a …
ImportError: No module named xgboost - Stack Overflow
ImportError: No module named 'xgboost.xgbclassifier', I tried using your command, it returned this.
XGBoost produce prediction result and probability
Apr 7, 2020 · 20 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 …
Cannot import xgboost in Jupyter notebook - Stack Overflow
Jul 1, 2017 · import sys !{sys.executable} -m pip install xgboost This allows the package to be installed with right on Jupyter notebook.
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 …
Newest 'xgboost' Questions - Stack Overflow
Nov 14, 2025 · There is an existing xgboost model in the pipeline that was created using this container sagemaker.image_uris.retrieve('xgboost', sagemaker.Session().boto_region_name, …
Xgboost with Smote on imbalanced data - Stack Overflow
Feb 22, 2024 · attached is the code for xgboost on ftir data with smote and smote_weights. the results based on smote is attached as image. From the confusion matrix, i understood that …