AttributeError: /anaconda/envs/azureml_py36/lib/libxgboost.so: undefined symbol: XGBoosterUnserializeFromBuffer

Cagatay Topcu 31 Reputation points
2021-05-03T21:23:09.343+00:00

93350-capture2.png

I am following automated ML guideline.:

https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/regression/auto-ml-regression.ipynb

I created development environment according to the documentation. As recommended, I am using version 1.27.0 of the Azure ML SDK.

After remote_run completed, I got the error for the following command "best_run, fitted_model = remote_run.get_output()"

I would appreciate if you could help me.

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Azure Machine Learning
An Azure machine learning service for building and deploying models.
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  1. Ramr-msft 17,826 Reputation points
    2021-05-05T03:08:05.86+00:00

    @Cagatay Topcu Thanks for the question. Can you please try manually downgrade xgboost with: pip install xgboost==0.90 or Create a new Compute Instance which should have xgboost==0.90.

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