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The number of features returned by a computation graph can be different due to failing transformers (which happens due to errors such as zero divisions). However, machine learning methods expect the same sets of features at training and test time.
The number of features returned by a computation graph can be different due to failing transformers (which happens due to errors such as zero divisions). However, machine learning methods expect the same sets of features at training and test time.
Add a function that does the following:
The returned
features_train
andfeatures_test
should have the same column names and order.The text was updated successfully, but these errors were encountered: