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Hi,
The package seems to be incompatible with the last version of xgboost, probably because of the issue outlined here -
https://github.com/dmlc/xgboost/issues/5794
Using version 1.0.0.2 of xgb…
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I am building a random forest via xgboost following the instruction at https://xgboost.readthedocs.io/en/latest/tutorials/rf.html. The R codes are like below (using the sample from the library xgboost…
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**Link to the notebook**
https://github.com/aws/amazon-sagemaker-examples/blob/master/advanced_functionality/xgboost_bring_your_own_model/xgboost_bring_your_own_model.ipynb
https://github.com/aws…
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# Hyperparameters Tuning for XGBoost using Bayesian Optimization | Dr.Data.King
How to tune your XGBoost model hyperparameters? How to set up parallel computing for your model training which may take…
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**Describe the use case example you want to see**
A SageMaker Pipeline to train, evaluate, and register a model using one (or more?) of the new JumpStart-based [built-in algorithms for tabular data…
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Stumbled upon this while trying to evaluate my xgboost model
` model = pickle.load(open("./data/xgboost-model", "rb"))
UnpicklingError: unpickling stack underflow`
I get this same error while d…
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### Issues Policy acknowledgement
- [X] I have read and agree to submit bug reports in accordance with the [issues policy](https://www.github.com/mlflow/mlflow/blob/master/ISSUE_POLICY.md)
### Willi…
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looking at #73 and #74 maybe what we really should do is consolidating it into a new function and deprecating some functions (irmi, rangerImpute and regressionImpute) ?
@matthias-da @GregorDeCillia @…
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Hi! Love the package, but one issue - `shap_values` is implemented inconsistently across the package documentation.
For example, when plotting a summary plot:
`explainer = shap.TreeExplainer(mo…
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Hi,
I am trying to run a XGBoost model on the qm9 dataset, but I run into a "UnboundLocalError: local variable 'nb_epoch' referenced before assignment". The other error that I have run into is the…