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I am using Great_expectation for my company's feature_quality Monitoring ML platform , and i need to detect drift between 2 different data i extracted from postgres. Can anyone help me with how can i use wasserstein distance on these data that i extracted from postgres?
Wasserstein Distance is in beta level , available in great_ecpectations_experimental and not clearly mentioned any usecase example
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I am using Great_expectation for my company's feature_quality Monitoring ML platform , and i need to detect drift between 2 different data i extracted from postgres. Can anyone help me with how can i use wasserstein distance on these data that i extracted from postgres?
Wasserstein Distance is in beta level , available in great_ecpectations_experimental and not clearly mentioned any usecase example
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