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 …
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 …
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 …
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 …
ImportError: No module named xgboost - Stack Overflow
ImportError: No module named 'xgboost.xgbclassifier', I tried using your command, it returned this.
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 …
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 …
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 …
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 …