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featureImportances method doesn't exist #16
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the pyspark supporting for XGBoost is totally different from XGBoost-built-in-python package. Actually xgboost pyspark is just a wrapper of XGBoost4j. So there is no such method. But I suppose what you're looking for is
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We don't have example about hyperopt, but we have some notebooks for CrossValidator |
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can you try
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@wbo4958 I added a feature name got error |
@gnani4444 |
@gnani4444, still has any issue? |
Hi
I am using XGBoost Spark 3.0 GPU version
I couldn't find featureImportances method for the model object. Can you guide me how to get feature importances from the trained model.
and
Can you share any notebook or code for hyper-parameter tuning using hyperopt, If you already have it.
Thanks in advance
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