Having features been ingested by feast, i'm always need to check the missing value, generate the distribution and coverage statistics of the features. And then, it's necessary to detect features drift by looking at a series of feature, and to detect something like training-serving skew. I think the features can only be continued to ingested by training and serving if all these checks pass.

So，does feast have the plan to support these features? if not , what would be the standard approach to make these validation using feast?