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This [Dask Examples notebook](https://github.com/dask/dask-examples/blob/main/machine-learning/xgboost.ipynb) uses the deprecated `dask-xgboost` rather than the native XGBoost integration.
Tweaking…
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**Summary !!!**
- **BioModel Name**: Ye2021, Identification of active molecules against Mycobacterium tuberculosis with ML
- **BioModel Tag**: fair AIML, Machine learning model
- **Metadata …
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In the same line of thought of algorithms which claim... or have beaten deep learning methods (Issue 144), Gradient Boosted Trees is one of them.
http://xgboost.readthedocs.io/en/latest/model.htm…
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HI,
When code_location is used in estimator of TrainingStep(), the uploaded s3 path and sagemaker_submit_directory timestamp do not match(about 400 ms).
This will cause the execution to fail.
…
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See
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Hi,
i train xgboost model with python and save it as 001.model,for test, i use this 001.model to predict one sample in python, get 0.223,but get 0.0604 with using xgboost-predictor,same model,same sa…
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Hi team,
we recently tried enabling SSL for our spark application which uses sparkling water for model training. When running XGBoost we ran into the following exception, indicating SSL encryption is…
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Hi I have a dataset that I have trained an xgboost model via gridsearch CV. I was able to run the treeexplainer on it but when I use model_output = 'probability' I get a shap plot that looks awfully s…
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Hi Y'all,
This project is really cool, but it should also support decision trees due to their popularity and applications. I would like to contribute a working XGboost implementation.
However, th…
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Use a gradient boosting model with grid search to explore the best possible model.
Sklearn implementation of GBM
http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostin…