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### Description
I am running EKS cluster version 1.26 with Karpenter autoscaling to manage workloads. Here is the list of steps I followed to configure the ray head node and worker node.
1. I have…
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Is it possible to use `CausalForestDML` with a multidimensional treatment (5 continuous columns) with `XGBRegressor`? I see `model_y` accepts `XGBRegressor`, but `model_t` complains in a following way…
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Hi all, I am working on a binary classification problem, using xgboost.
Once I trained my model, on X_train, I do the following line to get the SHAP model "trained" as well :
`tree_shap_explainer …
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Hi,
kinda puzzled.
I am running a local Dask instance with XGBoost on a machine with 2 GPUs.
It works flawlessly with the Boston dataset, but just gets stuck with the Covertype dataset, which is …
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I've trained a model using tweedie regression and would like to make predictions that output the different feature contributions. However, it seems like the contributions are not transformed:
```
…
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### Describe the bug
I am trying to implement the xgboost-quickstart code on my own dataset using the GitHub ink "https://github.com/adap/flower/tree/main/examples/xgboost-quickstart" after running t…
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As discussed on Clojurians, I would like to use this issue to start describing some machine learning functionality that could be achieved with Onyx, and/or what such an API would look like.
### Sco…
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step_select_boruta and step_select_mrmr cannot handle data with missing/NA values. This requires the user to remove or impute NAs in a recipe step prior to the feature selection step in order to use t…
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Currently "objective" parameter for the `XGBoostClassifier ` is limited to "reg:squarederror", "reg:tweedie", "reg:linear", "reg:logistic", "binary:logistic", "binary:logitraw". And these values are …
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The package should be successfully installed and works on any python environment. Including the common ones:
- Jupyter
- JupyterLab
- Conda
- Kaggle
- Google Colab
- Binder
- Amazon SageMaker…