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**Describe the bug**
When deploying a HuggingFace model with model data on disk, sagemaker SDK still tries to access the AWS API to determine the Sagemaker default bucket. I don't currently have ac…
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XGBoost is an algorithm that has recently been dominating applied machine learning and Kaggle competitions for structured or tabular data, so may be in case of breast cancer prediction it can give be…
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### Issue Type
Bug
### Source
source
### Giskard Library Version
2.14.0
### Giskard Hub Version
2.14.0
### OS Platform and Distribution
Linux Ubuntu 20.04
### Python vers…
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- League finshed - update data
- look for other variables to improve model accuracy, XGBOOST
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Hello,
Recently, while working with this package, I encountered a problem.
I randomly split the test and training data into 20% and 80%. I also generated 10,000 separate pseudo-absence data points. …
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**Summary !!!**
- **BioModel Name**: Li2021 - HDAC3i-Finder: A Machine Learning-based Computational Tool to Screen for HDAC3 Inhibitors.
- **BioModel Tag**: Machine learning model, Ersilia, FAIR…
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### Windows Version
10.0.22631.3155
### WSL Version
2.1.4.0
### Are you using WSL 1 or WSL 2?
- [X] WSL 2
- [ ] WSL 1
### Kernel Version
5.15.146.1-2
### Distro Version
Ubuntu20.04
### Other…
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Can xgboost model of spark training be analyzed with shap?
The current error is' pipelinemodel 'object has no attribute'_ java_ obj'
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I try to learn a Context Aware Model with xgboost but I receive next error:
```
AttributeError: module 'recbole.model.exlib_recommender.xgboost' has no attribute 'xgboost'
```
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Since the XGBoost 1.6, we have been working on having multi-output support for the tree model. In 2.0, we will have the initial implementation for the vector-leaf-based multi-output model. This issue …