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 …
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 subsampled dataset) …
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 for multiclassification and imbalanced data
Jun 7, 2021 · sample_weight parameter is useful for handling imbalanced data while using XGBoost for training the data. You can compute sample weights by using compute_sample_weight() of sklearn …
ImportError: No module named xgboost - Stack Overflow
When I tried import from python terminal I get this error, although I followed all the steps to install xgboost, somehow python is unable to get the package details.I am relatively new to python, I...
XGBClassifier.fit() got an unexpected keyword argument …
Jul 5, 2024 · My code is as follows: from sklearn.model_selection import train_test_split from xgboost import XGBClassifier import pandas as pd RANDOM_STATE = 55 ## You will pass it to every …
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 …
xgboost - Azure ML- XG Boost Categorical Issues - Stack Overflow
Mar 4, 2025 · XG Boost Categorical Issues during Time Series Prediction I observed an issue where categorical variables are being converted back to strings, causing failures. The issue arises during …
python - Feature importance 'gain' in XGBoost - Stack Overflow
I wonder if xgboost also uses this approach using information gain or accuracy as stated in the citation above. I've tried to dig in the code of xgboost and found out this method (already cut off irrelevant …