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TensorFlow Data Validation is a great tool to look at the data. One feature that might make it even better is if it would also compute correlations among the variables, so that if two variables are highly correlated you can avoid multicollinearities by dropping one of the correlated variables. Having that available in the facets visualization would make it easier to spot issues with the data.
The text was updated successfully, but these errors were encountered:
TensorFlow Data Validation is a great tool to look at the data. One feature that might make it even better is if it would also compute correlations among the variables, so that if two variables are highly correlated you can avoid multicollinearities by dropping one of the correlated variables. Having that available in the facets visualization would make it easier to spot issues with the data.
The text was updated successfully, but these errors were encountered: