Pardon the jargon. But it is a necessary addition to the vocabulary.
To evaluate if a feature is valuable, you could attach the value of the feature to past inferences and retrain a new model to check for improvement in performance.
But this “attach”-ing needs the feature value to be as of the time of the past inference.
That’s the point of this subthread though. What’s the new thing Chronon is doing? It can’t just be point in time features because that’s already a thing.
To evaluate if a feature is valuable, you could attach the value of the feature to past inferences and retrain a new model to check for improvement in performance.
But this “attach”-ing needs the feature value to be as of the time of the past inference.