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After XGBoost being trained, how to export trained model for future use? Can such model be converted into model used by Scikit-learn?
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How to do influence by using model trained by cuML?
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in RAPIDS presentation slide, there is no more example/samples depicting how to evaluate and visualize. Here visualization means using python’s libraies like matplotlib?
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When deploying, can exported model be used on traditional CPU server(on which scikit-learn is installed)?
- I use GTX 1070, on which there is only 8G device memory. DASK worker crashes even I set end_year=2001 and part_count=1. How to configure memory usage limitation by using RMM? Any way to resolve this?