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The error occurs because the azureml-dataprep
library struggles to handle the high-dimensional dataset with 2000+ features. Try to update azureml-dataprep
to the latest version using pip install -U azureml-dataprep
. Increase compute resources in your Automated ML job by selecting a cluster with higher memory and CPUs. You can also reduce the number of features using preprocessing techniques like feature selection to drop irrelevant or redundant columns. If the issue persists, consider splitting the dataset into smaller chunks before using Automated ML. These steps should help manage the large dataset effectively.
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