CLASSIFICATION AND NON-PARAMETRIC REGRESSION FRAMEWORK WITH REDUCTION OF TRAINED MODELS

A device receives selection of a classification and regression framework, and receives training data for the classification and regression framework. The device applies the training data to the classification and regression framework to generate a trained model, and monitors performance of the trained model. The device inspects a structure of the trained model, and reduces a size of the trained model. The device generates an object based on the trained model, and provides the object for display.