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Step By Step Guide
Zingg builds a new set of models(blocking and similarity) for every new schema definition(columns and match types). This means running the findTrainingData and label phases multiple times to build the training dataset form which Zingg will learn. You can read more here
As long as your input columns and the field types are not changing, the same model should work and you do not need to build a new model. If you change the match type, you can continue to use the training data and add more labelled pairs on top of it.