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Two things:
* Extract the rules from a trained decision tree
* Extract the rules that were used in a particular prediction
I think there is a tool for this in Python -- I saw [this|http://stackov…
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I used the mlr3 and mlr3proba with surv.xgboost as follows, since xgboost cannot output survival matrix so I used a pipeline,
`xgb_task = TaskSurv$new("train",
backend = da…
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**Describe the bug**
Causalml cannot be properly installed.
**To Reproduce**
# Firstly, I tried to use the command "conda install -c conda-forge causalml" to install causalml, but I got the follo…
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This seems to be a performance regression related to spilling to disk?
Timing out job (2/21/23): https://console.anyscale-staging.com/o/anyscale-internal/jobs/prodjob_nltqmbvtuhjbiuu3senydsbedp…
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I understand this package is in active development and wondered if report() is ready for use?
I am seeing:
`Error: LaTeX failed to compile C:/Users/RickPack/Documents/report.tex. See https://yihui…
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Hi there,
When I followed the "training_non_default_regression_models" tutorial and sample data as below, I encountered errors as shown.
Would you mind helping me to fix the issue in R environm…
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This is a bug-fix release for 1.7.
- [x] https://github.com/dmlc/xgboost/pull/8684
- [x] https://github.com/dmlc/xgboost/pull/8690
- [x] https://github.com/dmlc/xgboost/pull/8754
- [x] https://g…
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* Make sure to support probabilistic forecasts supported by xgboost
* it seems XGBoost also supports multi-outputs natively since version 1.6.2 - we should make sure we leverage this.
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## Training and exporting in Python
I am training a LightGBM model via its `scikit-learn` interface `lightgbm.LGBMClassifier` and then trying to export the model into PMML using `sklearn2pmml`. Thi…
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Is there a way `CalibratedClassifierCV` can be supported if it is used to wrap any of the supported models by shap? I get an error anytime I try to use it. It would be great if someone knows a workaro…