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. …
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 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 …
Perform xgboost prediction with pyspark dataframe - Stack Overflow
Oct 18, 2023 · Perform xgboost prediction with pyspark dataframe Asked 2 years, 2 months ago Modified 2 years, 2 months ago Viewed 5k times
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 …
How to download/install xgboost for python (Jupyter notebook)
May 20, 2017 · 192-168-1-10:Desktop yadav_sa$ pip install xgboost Collecting xgboost Using cached xgboost-0.6a2.tar.gz Complete output from command python setup.py egg_info: rm -f ...
Shap summary plots for XGBoost with categorical data inputs
Mar 31, 2023 · XGBoost supports inputting features as categories directly, which is very useful when there are a lot of categorical variables. This doesn't seem to be compatible with Shap: import pandas …
Newest 'xgboost' Questions - Stack Overflow
Dec 17, 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, version='latest')
python - How to save & load xgboost model? - Stack Overflow
Apr 29, 2017 · 24 Don't use pickle or joblib as that may introduces dependencies on xgboost version. The canonical way to save and restore models is by load_model and save_model. If you’d like to …