Abstract: An embodiment includes specifying an original model to be trained by a machine learning platform using training data and an algorithm, wherein the training data includes a plurality of training input values upon which to make a prediction and a plurality of training output values representing target prediction values. The embodiment generates an updated model by training the original model to algorithmically approach the training output values as provided with the training data based on the plurality of input values. The embodiment generates an updated function map representative of output values of the updated model and versions the updated model according to a classification rule for assigning a version classification based on a comparison of the updated function map to an original function map representative of output values of the original model. The embodiment deploys the updated model into a production environment. to replace the original model.