I'm using Tensorflow data validation and want to make sure a column has no duplicate values. But it seems Tensorflow's data validation doesn't have a feature like Deequ's isUnique function to check uniqueness? Is there a way to define uniqueness in Tensorflow's schema? I read the documentation here but still can't find anything for uniqueness.
Thank you for your help.
till now, tfdv is allowing just to check if number of unique values within a column is in an interval. attribute to do that are feature.unique_constraints.max & feature.unique_constraints.min