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In [xgboost scikit-learn fit API](https://xgboost.readthedocs.io/en/latest/python/python_api.html#xgboost.XGBRegressor.fit), the argument `eval_metric` can be a string for single metric or a list of s…
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Now we implemented ensembling. But since I just copied and pasted mostly, it left me homework to better understand the ensembling method, at least from very high-level
1. How can stacking algorithm…
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将python版本从3.6升级到3.11后，同步升级了scikit-learn的版本，原本scikit-learn中的joblib无法使用了，我直接使用joblib进行加载模型出现错误，
Unable to get repr for
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您好，在这里看到你写的关于xgboost做的survival analysis代码，正在学习，感觉很受启发，只是想问下训练的xgb model predict的结果(我看R xgboost package结果应该是 linear predictor)不明白为什么就是 f(x)(hazard ratio)? 这个是在哪里有说明呢？请您指教!!!
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Hi there!
I'm having an issue with trying to explain predictions from an XGBoost model, fitted with objective="count:poisson". The predictions don't match between xgboost and SHAP.
`shap.initjs(…
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I encountered an almost identical issue to that raised in [this StackOverflow post](https://stackoverflow.com/questions/65400467/mlr3-using-data-transforms-in-bootstrapping-hit-an-error).
Reproduci…
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Hi, I have a pipeline of hyperparameter tuning, evaluator, and cross-validate on an XGBoostClassifier model. However, I run into the following issue and was wondering if I could get some help underst…
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**Describe the bug**
Exception during rule evaluation: Customer Error: No debugging data was saved by the training job. Check that the debugger hook was configured correctly before starting the tra…
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Hi team, I'm using hummingbird_ml==0.4.3 and xgboost==1.5.2, and testing on XGBRegressor with objective reg:tweedie predictions.
```
import xgboost as xgb
import pandas as pd
import hummingbird
…
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I'm wondering if you've considered allowing the user to pass in a separate training sets for the xgboost model vs the survival model?
For example, in XGBSEStackedWeibull, the current state is this…